Your future role within QRT

• Your core objective is to create high quality predictive signals.
• By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities.
• Share and discuss research results, methodology, data sets and processes with other researchers.
• Implement the signals and the relevant datasets within the global execution platform.
• Monitor signal behaviour and model performance over time.
• You would lead the full strategy research cycle from signal generation to implementation.

Your present skillset

• Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering.
• Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus.
• Capacity to multi-task in a fast paced environment while keeping strong attention to detail.
• Coding skills required in at least one leading programming language (Python, R, Matlab and /or C++, C#).
• Experience in exploring large datasets across multiple time frames is a plus.
• Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields.
• Capacity to work with autonomy within a collegial and collaborative environment.
• Strong capacity to communicate with technologists, data scientists and traders across the globe.
• Proven track record in delivering successful systematic strategies.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT

• Your core objective will be to collaborate with Researchers and Analyst to onboard data sources and signals through a centralized framework.
• You will contribute to the design and maintenance of datasets used for signal generation in trading strategies.
• You will also help develop robust data quality checks to enhance monitoring and ensure the longevity of data sources.
• Additionally, you will be responsible for integrating alternative datasets and building tools to automate data pipelines for faster and more reliable delivery.
• Finally, you will provide support to end users, including Quant Researchers and Traders.

Your present skillset

• 2+ years’ hands-on experience in data engineering
• Excellent communication skills and a collaborative mindset to work effectively with other engineers, quants and traders
• Strong software engineering fundamentals and proficiency in Python
• Experience with workflow orchestration frameworks (e.g. Argo, Airflow)
• Experience designing and implementing RESTful APIs and internal service integrations
• Experience with observability tools (e.g. Grafana, CloudWatch)
• Familiarity with Kubernetes, container orchestration, and cloud infrastructure (AWS preferred)
• Exposure to the front-end, particularly with regards to custom monitoring dashboards, is a plus
• Self-starter mentality with the ability to work autonomously within a globally distributed team

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT's culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

We are seeking a Site Reliability Engineer (SRE) to join our ETF Market Making desk. You will own the reliability and operational automation of a trading platform - ensuring it remains fast, stable, and scalable as we expand to new venues and products.

This is a desk-embedded role, not a central platform team. Your work has a direct, measurable impact on trading P&L. You will sit alongside traders, researchers, and developers, with full visibility into how your systems affect the business.

Your Future Role within QRT

• Build and own observability, deployment, and incident response for the ETF trading platform
• Design and implement development tooling and platform infrastructure to improve reliability and developer productivity
• Manage system deployments, upgrades, and migrations
• Automate exchange go-live operations, data pipelines, and desk workflows - leveraging AI tooling
• Coordinate across exchange connectivity, quant platform, and risk teams as new venues are onboarded

Your Present Skill Set

• 5+ years in production SRE or platform engineering in a latency-sensitive or financial environment
• Deep expertise in Linux systems, cloud, and infrastructure-as-code
• Experience with monitoring stacks and CI/CD pipelines
• Proficiency with AI and agentic coding tools to accelerate workflows
• Strong Python and Bash scripting for automation and tooling
• Excellent cross-team communication skills
• Proven ability to work in a fast-paced, dynamic environment
• Problem-solving mindset with a focus on automation
• Prior experience in the finance industry is preferred but not required

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees to achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. 

Your future role within QRT:

We are seeking a Market Microstructure Researcher to help optimize exchange connectivity and interaction for our high-frequency trading strategies. You will analyse network and exchange protocols, automate performance metrics, and lead experiments to improve our trading operations, with a focus on latency-sensitive exchanges.

• Network & Protocol Analysis: Analyse network and exchange protocol captures to identify inefficiencies and improve communication performance
• Exchange Research & Liaison: Research exchange features, attend presentations, and communicate with exchange counterparts to gather insights
• Execution Optimization: Reverse-engineer trading systems and design and conduct experiments to improve fill rates
• Cross-team Communication: Collaborate directly with trading and research teams to ensure best application of findings and direct PnL impact
• Data Analysis: Effectively work with large and robust datasets to identify and resolve inefficiencies in internal execution systems and exchange communication

Your present skillset:

• Degree in Computer Science, Engineering, or a related field
• 5+ years of experience in data analysis and/or low-level systems and network engineering
• Strong skills in Python and time-series analysis
• Understanding of network protocols such as TCP/IP and Ethernet
• Familiarity with market microstructure and low-latency trading is a plus
• Advanced networking and GNU/Linux knowledge is a plus

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance. 

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. 

QRT Academy advances research and research projects within QRT and with academic institutions, delivers technical training across research, technology, and trading, and, in collaboration with other functions, leads QRT’s engagement with the academic community.

Your future role within QRT

• Design, run, and scale mathematical problem-solving challenges, competitions, and interactive academic events across leading universities.
• Work closely with researchers, traders, and the talent team to design original mathematical problems, logic puzzles, and quantitative challenges that reveal how candidates think and reason under uncertainty, as well as trading games and hackathons.
• Experiment with and deliver new formats for academic engagement, including online, hybrid, and in-person initiatives, with a focus on creative and diagnostic challenge design.
• Build and maintain relationships with students, societies, and academic departments.
• Act as an ambassador to the academic community, contributing to and shaping the firm’s long-term outreach and challenge-design strategy.

Your present skillset

• Strong education in mathematics or a closely related quantitative field (e.g. statistics, machine learning, finance, computational finance).
• Deep interest in mathematical problem-solving, puzzles, and logical reasoning, with curiosity about how intuition, judgement, and abstraction can be assessed through well-designed challenges.
• Experience with Olympiads, mathematics competitions, programming challenges, or trading games is highly valued.
• Creative mindset with the ability to design elegant, insightful mathematical challenges, not just technically difficult ones.
• Strong written and verbal communication skills, with the ability to explain complex ideas clearly.
• Organised, proactive, and comfortable owning projects end-to-end.
• Experience with student societies, teaching, or outreach programmes is helpful.

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees to achieve a healthy work-life balance. 

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

We’re looking for an experienced recruiter to join our Talent Acquisition team and help drive hiring for quantitative research and trading roles across Europe. This role plays a key part in supporting QRT’s continued growth by securing top-tier talent and reinforcing our local presence.

Your Future Role at QRT
• Drive and execute QRT’s recruitment strategy to attract, hire, and retain high calibre quant research and trading talent for our European offices
• Leverage your existing network across Europe and proactively source candidates through direct outreach, talent mapping, and referrals
• Collaborate with trusted external recruitment partners and agencies to ensure consistent pipeline flow and meet headcount targets
• Own and manage the full recruitment lifecycle via our ATS (Greenhouse), ensuring a high-touch, seamless candidate experience at every stage
• Bring hiring intelligence and market insights to the table - tracking trends, benchmarking competitors, and advising stakeholders

Your present skillset
• 5+ years of experience recruiting in quantitative finance, trading, or investment roles – either in-house or at a leading search firm
• A strong, active network of talent across Europe, and a proven ability to build and sustain candidate relationships over time
• Track record of successful collaboration with external agencies 
• Proficiency with recruiting tools and platforms, especially Greenhouse and LinkedIn
• Data-driven mindset, you use metrics, hiring funnel data, and market benchmarks to inform decisions
• Excellent written and verbal communication skills in English
• Organized, resourceful, you are able to juggle multiple searches with speed and precision
• Self-starter and curious, you like working in a fast-paced, high-performance environment

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT's collaborative mindset, which enables us to solve the most complex challenges. QRT's culture of innovation continuously drives our ambition to deliver high-quality returns for our investors.

QRT's High-Frequency Trading team designs and operates ultra-low-latency systems at global scale.

Our ETF Market Making desk is building the next generation of trading systems to compete across European and US venues. We are looking for a Senior C++ Quantitative Developer to work at the core of these systems - designing, building, and delivering critical components that directly drive pricing, execution, and risk across thousands of instruments and multiple exchanges.

You will be a key member of the Quant Dev team, working closely with Quant Researchers and Quant Traders. Your contribution will have a direct and immediate impact on the desk's success.

Your Future Role within QRT

• Design and optimize components across the trading engine, research platform, and analytics infrastructure
• Build, review, and deliver core trading components into production independently - pricing, execution, risk, and multi-exchange infrastructure
• Mentor junior developers and solve hard technical challenges critical to the desk's success
• Work closely with traders and researchers to understand requirements and provide timely feedback and solutions
• Design and optimize C++ systems for trading, market data, and infrastructure - profile and fine-tune performance across CPU, cache, and memory layers

Your Present Skill Set

• 3+ years of experience in performance-critical C++ (C++17 or newer)
• In-depth understanding of what is happening behind the abstractions - CPU, memory, OS, network
• Experience with distributed systems and performance profiling
• Proficient with AI and agentic coding tools
• Ability and willingness to take full ownership of the work - from idea to production delivery
• Strong communication skills in a fast-paced, dynamic environment
• Exchange protocol experience (FIX, ITCH/OUCH, PITCH, BOE) is desirable
• Experience in a quantitative trading environment is highly desirable

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees to achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT

• A key member of the QRT Crypto desk, building and enhancing the quant technology stack for our systematic trading

• Building the front-office systems for algorithmic trading, including the risk engine, productionising models, and post-trade

• Working with traders and quants to roll-out, support, and automate 24/7 trading strategies

• Designing clean architecture and leveraging state of the art tools and components

• Bringing new ideas and experimenting with new technologies

Your present skillset

• 4+ years’ professional experience

• Strong Python skills; C++ or Rust experience would be a plus

• Knowledge of real-time, robust, scalable and quantitative applications

• Familiarity with quant research, trading, or risk systems

• Strong team-player and communication skills

• Experience with AWS advantageous

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors.

Join our Data team, responsible for providing high-quality reference data, internal and external reporting, and front-office analytics to support trading and research workflows. The team works closely with engineering, compliance, and quant stakeholders to ensure data flows are accurate, robust, and aligned with business needs.

Your future role within QRT

You will join QRT’s Data team as a Software Engineer, working at the intersection of engineering, trading, and research. Your focus will be on delivering scalable systems for reference data management, regulatory and external reporting, and front-office analytics. This role offers direct visibility across the business and the opportunity to collaborate with stakeholders across Execution, Engineering, and Research teams. Every project you work on will contribute to operational efficiency and trading decision-making.

• Design and develop scalable services to process and distribute reference data across asset types
• Automate life cycle events such as corporate actions and coupon payments across instruments
• Build and maintain systems for internal and external reporting (including end-of-day reporting, compliance, and regulatory)
• Develop real-time and batch reporting infrastructure for front-office consumption
• Collaborate with research and execution teams to align data pipelines with trading workflows
• Implement automated testing and maintain CI/CD pipelines for delivery assurance
• Contribute to systems integration between Python- and C#-based components

Your present skillset

• Expert-level Python development experience, with solid understanding of system design and architecture
• Proven experience working with C# in a production environment
• Familiarity with relational databases and SQL
• Understanding of testing strategies as part of CI/CD workflows
• Excellent communication skills and the ability to work collaboratively across teams

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

You will join the team responsible for building QRT’s next-generation derivatives pricing library. This is a front-office quantitative development role working closely with traders and researchers. The scope includes full-lifecycle model development: from research and prototyping to implementation, testing, and production integration. You’ll also collaborate with risk and technology teams to integrate the library into broader trading and pricing infrastructure.

Your future role within QRT

• Contribute to the design and development of a new in-house derivatives pricing library

• Build and implement pricing models across all asset classes, ranging from vanilla to exotic products

• Prototype new models and contribute to their documentation, validation, and test coverage

• Collaborate with trading and research teams to support backtesting and live strategy deployment

• Work with risk and technology stakeholders to integrate models into real-time pricing systems and market data pipelines

Your present skillset

• 10–15 years of experience as a front-office pricing quant, with a strong focus on at least 2 assets classes within Rate, FX, Commodity, Equity

• Proven experience working closely with traders on model design and calibration

• Advanced degree (Master’s or PhD) in a quantitative field (e.g. Mathematics, Physics, Engineering, Computer Science)

• Strong understanding of derivatives pricing theory and stochastic processes

• Proficient in C++; familiarity with modern standards (C++17/20) is a plus

• Effective communication skills and a pragmatic, collaborative approach to problem-solving

• Willingness to mentor junior colleagues and contribute to team knowledge-sharing
  
  

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.  #LI-DNI

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. 
 
Your future role within QRT: 

• Create high quality Crypto signals on various exchanges and platforms. 
• Monitor your own trading, strategy performance and all relevant risks. 
• Your core objective is to create high quality predictive signals. 
• By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities. 
• Share and discuss research results, methodology, data sets and processes with other researchers. 
• Implement the signals and the relevant datasets within the global execution platform. 
• Monitor signal behaviour and model performance over time within your strategies. 
• You would lead the full strategy research cycle from signal generation to implementation. 

Your present skillset: 

• Proven track record in delivering successful Crypto systematic strategies. 
• Minimum 2 years of experience in the financial industry.  
• Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering. 
• Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus. 
• Capacity to multi-task in a fast-paced environment while keeping strong attention to detail. 
• Good fundamental crypto knowledge is a plus. 
• Experience with one or more of the below is a plus: 
• Crypto specific data sets, DeFi, latency-sensitive, ML/AI or strategies in production  
• Coding skills required in at least one leading programming language, Python preferred, C++ is beneficial. 
• Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields. 
• Capacity to work with autonomy within a collegial and collaborative environment. 
• Strong capacity to communicate with technologists, data scientists and traders across the globe. 

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees to achieve a healthy work-life balance. 

Eligible candidates: Final-year PhD students or postdoctoral researchers

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.   

Over the years, QRT has invested in a global research and execution platform which has been deployed to cover all geographies and asset classes. This platform covers a broad spectrum from high to low frequency trading systems. Our culture is centred around technology, automation, and industrialized processes. We operate in multiple languages from C++ to Python and embrace open-source software.  

Your future role within QRT 

You will join a team of quantitative researchers to learn how to design trading algorithms in a real-world data environment – a fast track to become a seasoned quantitative researcher. Surrounded by peers who have successfully transitioned from academia to applied research, you will receive mentorship from experienced professionals who will help you translate your theoretical expertise into real-world impact. The research environment at QRT is designed to be collaborative and intellectually stimulating. 

Within one of QRT's systematic teams - spanning high, mid, and low-frequencies - your core objective will be to develop high-quality predictive signals: 

• Leverage access to vast and diverse datasets to identify hidden statistical patterns and market opportunities. 

• Collaborate with fellow researchers to exchange ideas and refine methodologies. 

• Translate theoretical models into production-ready signals. 

• Lead the full research cycle - from idea generation to implementation. 

Your present skillset 

• Holding or pursuing a PhD (final year) degree in a quantitative field such as statistics, mathematics, physics, biology, computer science, or engineering. 

• A pragmatic attitude towards translating theoretical models into real-world data problems.   

• Proficiency in Python (preferred) or another leading programming language such as R, MATLAB, C++, or C#. 

• Experience working with large datasets across multiple time frames (a plus). 

• Ability to multitask in a fast-paced environment with attention to detail. 

• Intellectual curiosity to explore new data, solve complex problems, and connect ideas across disciplines. 

• Ability to work autonomously, in a collegial and collaborative setting, and with colleagues from diverse backgrounds and areas of expertise. 

• Strong communication skills. 

• Fluency in English (additional languages are a plus). 

Interviewing:   

• Apply online: All applications are reviewed by our Talent Acquisition Team, on a rolling basis. 

• Interviews: Conducted on-site or via Teams, they assess both your technical expertise and alignment with our collaborative culture. 

We invite candidates for the Quantitative Research position to take part in one of our Data Challenges. This task is designed to give you insight into the daily responsibilities of the role and allows us to assess your abilities and interest: Challenge data (ens.fr) 

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance 

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Join QRT Academy as a Research Programmes & Operations Lead in London. QRT Academy brings together QRT’s training and development initiatives, academic engagement, and research collaborations, connecting external research communities and talent with QRT and supporting their integration. In this role, you will lead the operational infrastructure that enables these programmes and partnerships to scale effectively across teams and regions.

Your future role at QRT:

• Lead the design and execution of operational frameworks underpinning QRT’s global academic partnerships and research initiatives
• Build and scale operational infrastructure that enables high-quality intellectual collaboration
• Ensure effective delivery of programmes across institutions, teams, and regions
• Own and manage the operational systems supporting academic partnerships, research programmes, events, and global initiatives
• Oversee and optimise the contractual and administrative frameworks underpinning university collaborations and visiting researcher programmes
• Translate programme activity into clear reporting and insights to support senior leadership
• Own programme budgets and drive operational efficiency across regions
• Build strong, trusted relationships with academic partners and internal stakeholders
• Drive alignment and coordination across initiatives, teams, and locations globally
• Continuously improve and evolve programme operations and infrastructure

Your present skillset:

• Degree-level qualification, ideally in Business, Operations, Science, or a related field
• Demonstrated experience managing programmes or operations in complex or fast-paced environments
• Strong organisational skills, with a high level of attention to detail and operational accuracy
• Strong problem-solving skills, with the ability to work independently and bring structure to ambiguous environments
• Excellent stakeholder management skills, with the ability to work effectively across teams and regions
• Experience supporting budgets, contracts, or operational processes is advantageous

• Experience in globally distributed or research-intensive environments is advantageous
• Background in research partnerships, academic collaboration, or industry engagement is advantageous
• Interest in research, technology, or academic collaboration is beneficial

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT:

• Partner with researchers and quant developers to deliver insights from tick-by-tick data
• Serve high-quality data to the backtesting engine
• Develop Tick Data pipelines in Python to enable fast and seamless access across all asset classes
• Design, implement, and monitor data quality checks across all pipelines

Your present skillset:

• Strong knowledge of different financial asset classes
• Deep understanding of Level 2 and Level 3 tick-by-tick data
• Solid knowledge of the market structure ecosystem (e.g., NBBO rules, secondary markets, dark pools)
• Familiarity with exchange protocols and their specificities is a strong plus
• Strong Python skills with experience in data libraries required; C++ is a strong plus

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Title:                    Project Manager

Job Type:            Full-time

Tenure:               Permanent

Location:            London, UK

Education:         Bachelor’s degree (or equivalent)

We invite you to come grow with us.

Inizio Ignite is the global advisory partner for health and life sciences, encompassing connected expertise across Research Partnership, Putnam, Vynamic, and STEM. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health.

Our Research Partnership healthcare market research team provides research and insights to inform and power healthcare decisions. Serving a variety of clients across the lifecycle, our expertise includes data, research & insights (proprietary syndicated and custom research) and brand tracking (ATU). Proudly part of Inizio – the market-leading commercialization partner for health and life sciences. From early-stage development to loss of exclusivity, we simplify complexity, unlock value, and make collaboration seamless at every pivotal moment – supporting confident, insight-driven decisions that move innovation forward. 

About the team:

The RP Operations team works alongside our Custom and Syndicated research teams to deliver a broad range of qualitative and quantitative (ad hoc and tracking) studies for global pharmaceutical, MedTech and biotech clients to enable them to address product development, marketing, brand, advertising and communications objectives. Our studies are typically multi-market, encompassing respondents in Europe, North America and Emerging Markets.

Each of our research projects will have a dedicated member of the RP Operations team embedded within the core project team for the full project lifecycle, providing project management expertise and guidance throughout. Typically, members of our Operations team will support multiple projects concurrently.

Within the Operations department, members of the team are encouraged to support subject-matter Pillars, led by Project Directors and Associate Project Directors. These Pillars include initiatives and programmes focusing on Clients, Suppliers, People, Innovation, and Operational Excellence. As a Project Manager, you are empowered to take on ownership of a sub-topic within your Pillar and can have responsibility for developing ideas and initiatives relevant to that sub-topic.

Within this role you will be empowered to develop your project management expertise across the healthcare market research landscape, and will have the opportunity to work with a wide range of different experts in our teams.

Your primary role:

The role of the Project Manager is to cost and oversee the set up and management of fieldwork and data collection to ensure successful completion within best practices. You will also be expected to contribute to company operations processes; providing proactive ideas and plans about improving the efficiency of the project management function and projects. Core, but not exclusive, responsibilities will include:

• Responsibility for sourcing, obtaining and negotiating commercially advantageous costs from external suppliers and panel providers for Research Partnership project proposals
• Updating suppliers on the status of their quotes
• Overseeing the smooth running of fieldwork management
• Successful handover of project deliverables to research team:
  • Coordination of Data Processing (DP) work and deliverables, based on specs and templates provided by the project team (Quant-only)
  • Coordination of Qual deliverables, including: Transcripts and/or recordings (notes, videos, audio files) (Qual-only)
• Own, coordinate and update project timelines with internal research and external client and supplier stakeholders
• Take ownership for coordinating project team meetings,
• Opportunity to develop line management responsibilities for junior members of the team
• Responsibility for Pharmacovigilance and Adverse Event reporting
• Coordination of client and supplier Statements of Work (SOWs)
• Client and supplier invoice management (PO numbers, invoicing and liaison with Finance team)
• You will own specific sub-topics as a member of one of the department’s Pillars (Clients, Suppliers, People, Innovation, Operational Excellence)

About You…

Your skills and experience:

• More than 3 years of experience in market research project management (qualitative and/or quantitative research)
• Experience managing healthcare market research projects
• Knowledge of the fieldwork agency landscape
• Strong project management skills (adhering to agreed timelines, troubleshooting and communication with internal and external stakeholders)
• Ability to multitask
• Collaboration and working as part of a team
• Ability to work under pressure and to tight deadlines
• Excellent numerical skills

Ideal profile:

• You are proactive, dedicated and enthusiastic, with a ‘can do’ attitude and approach
• You demonstrate a high level of accuracy and attention to detail, as well as strengths in organisation and prioritisation
• You are a collaborative team player who works well with colleagues
• You communicate ideas and issues in an effective, straightforward fashion
• You are highly motivated and want to seize opportunities to develop new skills and progress your career

Life at Research Partnership:

We love what we do and continuously strive for innovation and creativity. We believe everyone should continuously be learning and provide:

• A comprehensive training and development programme for all staff, from entry level apprentice to senior management
• A relaxed and friendly working environment
• Social events - including a summer day out and end-of-year party, along with regular social events after office hours
• Fundraising and charity events – we support Forever Angels, a children's charity whose aim is to care for abandoned babies in Tanzania, Africa, as well as the local charity, Fulham Good Neighbours

Further information:

This is a full-time role, working in a hybrid pattern (2 days per week in the office) at our fantastic HQ location in Fulham Green, directly opposite Putney Bridge in London, which boasts free state-of-the-art gym with showers, on-site café, panoramic river views, landscaped gardens and regular social events.

Title:                    Project Manager

Job Type:            Full-time

Tenure:               Permanent

Location:            London, UK

Education:         Bachelor’s degree (or equivalent)

We invite you to come grow with us.

Inizio Ignite is the global advisory partner for health and life sciences, encompassing connected expertise across Research Partnership, Putnam, Vynamic, and STEM. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health.

Our Research Partnership healthcare market research team provides research and insights to inform and power healthcare decisions. Serving a variety of clients across the lifecycle, our expertise includes data, research & insights (proprietary syndicated and custom research) and brand tracking (ATU). Proudly part of Inizio – the market-leading commercialization partner for health and life sciences. From early-stage development to loss of exclusivity, we simplify complexity, unlock value, and make collaboration seamless at every pivotal moment – supporting confident, insight-driven decisions that move innovation forward. 

About the team:

The RP Operations team works alongside our Custom and Syndicated research teams to deliver a broad range of qualitative and quantitative (ad hoc and tracking) studies for global pharmaceutical, MedTech and biotech clients to enable them to address product development, marketing, brand, advertising and communications objectives. Our studies are typically multi-market, encompassing respondents in Europe, North America and Emerging Markets.

Each of our research projects will have a dedicated member of the RP Operations team embedded within the core project team for the full project lifecycle, providing project management expertise and guidance throughout. Typically, members of our Operations team will support multiple projects concurrently.

Within the Operations department, members of the team are encouraged to support subject-matter Pillars, led by Project Directors and Associate Project Directors. These Pillars include initiatives and programmes focusing on Clients, Suppliers, People, Innovation, and Operational Excellence. As a Project Manager, you are empowered to take on ownership of a sub-topic within your Pillar and can have responsibility for developing ideas and initiatives relevant to that sub-topic.

Within this role you will be empowered to develop your project management expertise across the healthcare market research landscape, and will have the opportunity to work with a wide range of different experts in our teams.

Your primary role:

The role of the Project Manager is to cost and oversee the set up and management of fieldwork and data collection to ensure successful completion within best practices. You will also be expected to contribute to company operations processes; providing proactive ideas and plans about improving the efficiency of the project management function and projects. Core, but not exclusive, responsibilities will include:

• Responsibility for sourcing, obtaining and negotiating commercially advantageous costs from external suppliers and panel providers for Research Partnership project proposals
• Updating suppliers on the status of their quotes
• Overseeing the smooth running of fieldwork management
• Successful handover of project deliverables to research team:
  • Coordination of Data Processing (DP) work and deliverables, based on specs and templates provided by the project team (Quant-only)
  • Coordination of Qual deliverables, including: Transcripts and/or recordings (notes, videos, audio files) (Qual-only)
• Own, coordinate and update project timelines with internal research and external client and supplier stakeholders
• Take ownership for coordinating project team meetings,
• Opportunity to develop line management responsibilities for junior members of the team
• Responsibility for Pharmacovigilance and Adverse Event reporting
• Coordination of client and supplier Statements of Work (SOWs)
• Client and supplier invoice management (PO numbers, invoicing and liaison with Finance team)
• You will own specific sub-topics as a member of one of the department’s Pillars (Clients, Suppliers, People, Innovation, Operational Excellence)

About You…

Your skills and experience:

• More than 3 years of experience in market research project management (qualitative and/or quantitative research)
• Experience managing healthcare market research projects
• Knowledge of the fieldwork agency landscape
• Strong project management skills (adhering to agreed timelines, troubleshooting and communication with internal and external stakeholders)
• Ability to multitask
• Collaboration and working as part of a team
• Ability to work under pressure and to tight deadlines
• Excellent numerical skills

Ideal profile:

• You are proactive, dedicated and enthusiastic, with a ‘can do’ attitude and approach
• You demonstrate a high level of accuracy and attention to detail, as well as strengths in organisation and prioritisation
• You are a collaborative team player who works well with colleagues
• You communicate ideas and issues in an effective, straightforward fashion
• You are highly motivated and want to seize opportunities to develop new skills and progress your career

Life at Research Partnership:

We love what we do and continuously strive for innovation and creativity. We believe everyone should continuously be learning and provide:

• A comprehensive training and development programme for all staff, from entry level apprentice to senior management
• A relaxed and friendly working environment
• Social events - including a summer day out and end-of-year party, along with regular social events after office hours
• Fundraising and charity events – we support Forever Angels, a children's charity whose aim is to care for abandoned babies in Tanzania, Africa, as well as the local charity, Fulham Good Neighbours

Further information:

This is a full-time role, working in a hybrid pattern (2 days per week in the office) at our fantastic HQ location in Fulham Green, directly opposite Putney Bridge in London, which boasts free state-of-the-art gym with showers, on-site café, panoramic river views, landscaped gardens and regular social events.

We’re seeking a User Researcher to join our multidisciplinary Experience Design (XD) team, including Product Design, User Research, Content Design, and Design Systems. This role focuses on our B2B and B2B2C ecosystem, building a deep understanding of our Partners (Estate Agents) within a complex marketplace. You’ll shape product strategy through strategic and tactical research, embed insight into the product development process, and ensure Partner and consumer needs are represented clearly in decision-making across the organisation. 

The Role: 

• Focus on B2B and B2B2C relationships, building deep understanding of our Partners.  

• Develop insight into estate agents’ needs, behaviours, and commercial realities, alongside consumer impact. 

• Contribute to shaping product strategy through strategic and tactical research. 

• Embed insight into the product development process to drive evidence-based decisions. 

• Represent the voice of the Partner and end users across the product lifecycle. 

• Report to and work closely with the Lead Product Designer. 

What you'll be doing:  

• Partner with the Lead Product Designer and Head of Product to lead research projects that help shape product direction for the short and long-term.  

• Collaborate with Lead Product Designer, Head of Product, and Senior Product Manager to inform roadmaps. 

• Align research efforts with strategic business objectives and key results, and uncover insights for continuous improvement across the user experience. 

• Plan and conduct qualitative and quantitative research. 

• Lead generative discovery research and evaluative research for optimisation. 

• Develop and evolve research systems including UX metrics, segmentations, templates, and accessibility standards. 

• Strengthen recruitment processes and panel management for diverse participation. 

• Maintain and evolve the research & insights repository. 

• Triangulate insights with Data and Analytics, Market Research, Customer Experience, and Sales. 

• Deliver compelling and accessible storytelling of research insights. 

• Mentor Product Designers and cross-functional partners in user research. 

• Champion inclusive and accessible design practices. 

• Collaborate with Users Researchers to elevate research standards across the team. 

What you'll bring to the role:   

• Strong communication and storytelling skills, tailored to influence various audiences. 

• Expertise in qualitative and quantitative research methods, with strong analysis and synthesis skills. 

• Strategic thinking, able to balance user insights with business needs. 

• Empathy-driven relationship building with users, stakeholders, and cross-functional teams. 

• Curiosity and creativity in exploring new technologies and approaches, including the responsible use of AI in research. 

• Experience in scaling user research operations, frameworks and improving ways of working. 

• Strong advocacy for inclusive design and accessibility in research. 

• Passion for advancing user research as a practice and staying updated on industry trends. 

• Adaptability and flexibility in shifting priorities based on evolving needs. 

We are seeking a Staff or Principal Applied AI Researcher to join a fast growing team building an agent native search platform - the web access layer for AI systems.

You can think of this as Google for AI agents: a system designed for machines, not humans. We are building agentic search, where AI systems actively plan, retrieve, evaluate, and refine information rather than simply returning results. As AI becomes the primary interface to the web, this layer will replace the role of traditional search engines.

We are designing how AI agents - not humans - retrieve, evaluate, and reason over web data in real time, under strict latency and reliability constraints. This means solving retrieval and ranking under entirely new access patterns and at significant scale, with systems operating over constantly changing, unstructured data and serving tens of thousands of production workloads 24 by 7.

This role comes with ownership over key parts of our applied AI research direction and system design, with a strong expectation of defining new approaches and shipping measurable impact in production.

What you'll work on:

• Designing agent native retrieval systems optimised for machine consumption rather than human search UX
• Building systems where LLMs iteratively plan, query, refine, and reason over results
• Developing ranking and retrieval approaches for multi step, agent driven workflows under real world constraints

Your responsibilites:

• Drive applied research and technical direction across retrieval and ranking systems
• Design and evolve multi stage retrieval architectures (query understanding, rewriting, reranking, iterative retrieval)
• Develop methods for grounding LLMs in real time web data at scale
• Define and implement new evaluation paradigms and metrics for agentic systems, where correctness is not reducible to clicks
• Lead experimentation on modern retrieval approaches (embeddings, hybrid search, reranking) and bring them into production
• Analyse trade-offs across relevance, latency, and cost at scale
• Work closely with engineering to deploy systems in high throughput, low latency environments
• Own ambiguous problems end to end and contribute to product and research direction
• Mentor engineers and help raise the technical bar of the team

Must haves:

• 8+ years of experience in applied AI, ML, or software engineering
• Proven track record of shipping ML or AI systems to production at scale
• Deep experience with search, retrieval, ranking, recommendation systems, or assistants
• Strong understanding of modern deep learning, especially transformers and embeddings
• Experience with LLM integrated or knowledge intensive systems
• Experience designing evaluation frameworks and metrics for ML systems
• Strong programming skills in Python and at least one of Go, C++, or similar
• Ability to operate in a fast moving, product driven environment with high ownership and autonomy

Nice to haves

• Experience with large scale search or recommendation systems
• Background in agentic AI systems (agents, tool use, autonomous workflows)
• Experience with RAG, multi step retrieval, or tool use
• Publications, open source, or similar signals of technical depth and impact

The role

Nebius is building the next generation Full-stack AI cloud platform to power model training, post-training, and large-scale inference for AI-native companies and enterprises. As we expand our presence across the global AI startup ecosystem, we are looking for an Industry Partnerships Lead to build strategic relationships with leading technology companies, enterprises, and industry platforms. 

This role focuses on developing partnerships that accelerate adoption of Nebius infrastructure by collaborating with leading AI-native companies, digital-native companies, and enterprises that share the same startup ICP, while creating long-term ecosystem value through joint go-to-market initiatives and industry collaboration. 

You will work closely with the venture partnerships, community, sales, marketing, channel and BDRs to identify high-impact opportunities and build scalable partnership programs. 

You’re welcome to work hybrid from London or remote from Paris.

Your responsibilities will include: 

Develop strategic industry partnerships 

• Identify and build relationships with leading AI-native startups, digital-natives, enterprises, and ecosystem partners across priority industries with the shared startup ICP. 
• Establish Nebius as a strategic infrastructure partner within emerging AI ecosystems. 

Drive joint go-to-market initiatives 

• Create and execute partnership initiatives such as joint programs, campaigns, ecosystem collaborations, and industry events. 
• Work with internal sales and marketing teams to translate partnerships into qualified opportunities and pipeline. 

Build industry-focused ecosystem programs 

• Design programs that connect industry leaders with founders, startups, researchers building on Nebius. 
• Support vertical initiatives across key sectors such as Robotics & physical AI, HCLS, Media & Entertainment, Retail, Gaming and more.  

Enable cross-functional collaboration 

• Partner closely with sales, marketing, channels, BDR and CSA teams to ensure alignment on partnership opportunities and customer needs. 
• Establish clear frameworks and playbook for partner engagement and internal collaboration. 

Operationalize partnership workflows 

• Track partner engagement, pipeline contribution, and program outcomes through CRM systems and internal processes. 
• Continuously refine partnership strategy based on ecosystem insights and market developments. 

Pipeline Generation 

• Build systematic programs and engagement models with industry partners to accelerate startup customer adoption and conversion. 
• Identify and activate shared ICP opportunities between Nebius and industry partners to generate qualified startup pipeline. 
• Design joint initiatives (e.g., partner-led programs, co-hosted events, ecosystem initiatives, or sector-focused programs) that drive founder and researcher engagement. 

We expect you to have: 

• 7+ years of experience in strategic partnerships, business development, ecosystem strategy, or GTM roles 
• Experience working with AI infrastructure, cloud platforms, or tech ecosystems 
• Strong understanding of startup and venture ecosystems 
• Proven ability to build strategic partnerships that drive adoption, pipeline, or revenue 
• Experience working in high-growth startups, scale-ups, or technology companies 
• Ability to collaborate across sales, marketing, product, and engineering teams 
• Familiarity with CRM tools such as Salesforce or HubSpot 

You’ll be the hands-on security engineer embedded with the Institutional Trading and Financial Operations (FinOps) team. Your focus is the secure operation of off-chain trading processes and infrastructure that empowers our institutional business: integrations, signing flows, key custody interfaces, middle-office workflows, order routing and settle pipelines that handle significant capital. You will support risk assessments, operating controls, automation to detect operational anomalies and remediation coordination. This is a high-visibility role where you will focus on operational security engineering - ensuring that the tools and processes our traders use are resilient against both external threats and internal errors. This role does not require smart-contract auditing.

WHAT YOU WILL DO

• Partner with Trading, Middle Office and Quant (Institutional FinOps) teams to map out inventory trading systems, data flows, third-party integrations and custody/settlement touchpoints.
• Conduct deep-dive assessments mapping critical assets and workflows to identify structural vulnerabilities. You will be responsible for defining the Target State and drafting the strategic Risk Treatment Plans (RTP) required to meet institutional-grade standards (e.g., CCSS, NIST, DORA).
• Act as the primary security liaison for Senior Management and third-party vendors. You will translate complex technical gaps into actionable business risk summaries, drive vendor evaluations for core security infrastructure, and manage the project lifecycle for high-impact posture uplifts.
• Implement and maintain monitoring for FinOps-specific security signals such as abnormal order patterns, signature misuse, unusual settlements. You will integrate these signals into our SIEM/SOAR for real-time response.
• Support secrets and key-management hygiene. You will ensure app/service keys are stored in KMS/Vault, scoped to least privilege and rotated automatically to prevent credential leakage.
• Assist product security in triage of SAST/SCA findings for FinOps-related repositories. You will help implement CI checks and remediation playbooks.
• Participate in incident exercises, post-incident reviews and remediation tracking for trading incidents.
• Document controls and produce concise risk summaries for FinOps leads and the Security.

WHAT YOU WILL NEED

• 5+ years in security engineering, platform security, or application security experience.
• Proven expertise in Threat Modeling. Ability to perform structured reviews (e.g., STRIDE) of complex data flows and operational processes.
• Experience with observability and detection tooling (SIEM, logs, metrics) and ability to write basic detection rules.
• Practical experience with KMS/HSM, secrets management platforms (Vault, 1Password, AWS/GCP KMS), IAM patterns and least-privilege.
• Exceptional ability to translate "Technical Debt" into Business Risk for C-suite stakeholders (CFO, CTO, Head of Trading).
• Ability to raise, read and audit Pull Requests in at least one language used in our stack (TypeScript, Java/Kotlin, Python).
• Experience conducting technical due diligence and scoping for third-party security integrations.

NICE TO HAVE

• Familiarity with trading systems or financial operations (market-making, execution, settlement) or close collaboration background with trading/quant teams.
• Exposure to blockchain on-chain concepts (wallets, addresses, transactions) but no requirement to audit contracts.
• Familiarity with SOC operations, and post-incident forensic analysis.
• Familiarity with SOC2, ISO 27001, or financial audit requirements
• Any relevant industry certification

COMPENSATION & PERKS

• Full-time salary based on experience and meaningful equity in an industry-leading company
• This is a role based in our London office, with a mandatory in-office presence four days per week.
• Work from Anywhere Policy: You can work remotely from anywhere in the world for up to 20 days per year.
• ClassPass 
• Unlimited vacation policy; work hard and take time when you need it
• Apple equipment
• The opportunity to be a key player and build your career at a rapidly expanding, global technology company in an emerging field
• Flexible work culture 

London/Cardiff/UK Remote | 💰£103,000-£140,000 + Incentive Awards tied to your performance + Benefits  ✨

At Monzo, we’re on a mission to make money work for everyone. The Wealth Collective is at the heart of this. We aren’t just building features; we’re helping people navigate the most complex and high-stakes parts of their financial lives.

We are looking for a hybrid leader: a world-class mixed-methods practitioner who can navigate the knotty challenges of a new financial landscape while providing supportive, transparent line management for a high-performing researcher.

Our User Research team⭐

We are currently a team of more than 30 individual contributors, who are embedded into collectives i.e Core Banking, Business Banking etc, working cross functionally with Product Design, Product Management and Engineering teams. Our research organisation is led by Katherine Vaughan, our Director of User Research. 

🔑You’ll play a key role by...

• Having a demonstrable and significant positive impact on customer outcomes across the Monzo experience, both directly and indirectly.
• Having a tangible influence on Monzo's north star metrics and commercial outcomes.
• Prioritising the biggest opportunities for impact, and helping others do the same.
• Identifying the most important research questions for Monzo, flexing your focus between teams or domains in the company to do so 
• Choosing the right method, often pioneering new approaches to running complex research projects beyond your and the team's comfort zone, levelling up our capabilities as you go
• Shaping projects and strategies that balance pace, quality and breadth of focus to have the most impact, delegating to others when appropriate. 
• Drawing on a range of data sources and working closely with cross-discipline leaders where needed to robustly answer the questions that are most important to Monzo
• Communicating actionable user insights with such clarity that they are consistently used to define strategy across the organisation.
• Partnering closely with leaders beyond your discipline, and modelling better ways of cross functional working which raises the bar for all 
• Translating your insights and Monzo's strategic direction into a clear and actionable plan for the teams you work with, helping us make progress towards our product vision.
  
  

🤩 We’d love to hear from you if…

• You're passionate about making money work for everyone.
• You ideally have experience of working in a product-led environment, as a high performing individual contributor. 
• You have a passion/interest for mentoring and coaching user researchers. 
• You proactively set the conditions for others to deliver in ambiguous or changing contexts, both within squads and across the organisation. 
• You solve systemic issues caused by complexity, making things better for those who come after you.
• You're a visible role model for respectfully driving positive customer and business outcomes - even under challenging team circumstances.
• You proactively and consistently find ways to raise the bar for your discipline and others, giving timely, respectful feedback when needed.
• You role model resilience, and you help others take a measured approach to outlining the trade-offs of different options before deciding which route to pursue, keeping pace while you do so.
• You're recognised as the expert in your field of research and you have scaled the support you provide others to drive extensive improvements across the organisation.
• You identify opportunities your wider team's impact, culture and community of practice, and you're pragmatic in aiming for progress over perfection
• You take responsibility for the successful growing of the research teams you're in - helping identify where new skillsets are needed, bringing in the right people, and creating the conditions for them to be successful.

Not ticking every box? That’s totally okay! Studies show that women and people of colour might hesitate to apply unless they meet every single requirement. At Monzo, we’re dedicated to creating a diverse and welcoming team. If you’re passionate about this role and keen to learn and grow with us, we encourage you to apply— even if you don’t have everything that's listed just yet. Drop us your application, we’d love to hear from you!

🙌 What’s in it for you

💰 £103,000-£140,000 DOE ➕Incentive Awards tied to your performance.

✈️ We’ll help you relocate to the UK. 

✅ We can sponsor your visa. 

📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London) 

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. 

📚 £1,000 learning budget each year to use on books, training courses and conferences.

🏡 We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. 

➕ Plus lots more! Read our full list of benefits.

🌈 The application journey has 3 key steps
First stage - Recruiter call
Second stage - Research methods task (1 hour)
Full loop - Values + Leadership interview and Teamwork + Impact interview (45 mins each - ideally b2b)

This process should take around 2-3 weeks - your schedule is really important to us, so we promise to be as flexible as possible! 

We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here.

The closing date for applications is 22nd May.

#LI-NH1

We are seeking a highly skilled and empathetic Senior CX Researcher to deliver deep customer insights across our leading automotive client's mobile App Operations (App Ops) and Web Operations (Digital Experience - DX) teams. This hybrid role is for a strategic researcher who will split their time 50/50 between these two critical areas, fostering a holistic understanding of the customer journey and ensuring a seamless, high-quality experience across all digital touchpoints. 

You will be instrumental in uncovering user needs, behaviors, and motivations, translating them into actionable recommendations that drive product strategy, design decisions, and ultimately, customer satisfaction and loyalty within the automotive ecosystem. You'll be the voice of the customer, directly influencing the evolution of the client's key digital products. 

What you’ll be doing: 

You are a highly motivated, self-sufficient, and top-tier Senior CX Researcher with a passion for understanding people and solving complex problems. Your expertise spans a wide range of research methodologies, and you are adept at synthesizing diverse data points into clear, compelling narratives that drive business impact. 

• Strategic Research Planning & Execution (Across App & Web): 

• Develop and execute comprehensive research plans, utilizing a blend of qualitative and quantitative methodologies tailored to specific product and business objectives within both App Ops and Web Ops (DX). 

• Design, facilitate, and moderate a variety of research activities, including in-depth interviews, usability testing (on desktop and mobile devices), contextual inquiries, focus groups, surveys, card sorting, and tree testing. 

• Manage participant recruitment, screening, and scheduling for research studies, ensuring diverse and representative samples. 

• Champion user-centered design principles and a research-driven approach throughout both App Ops and Web Ops (DX) teams. 

• App Operations Focus (Approx. 50%): 

• Conduct specialized research into mobile app user behavior, covering aspects like onboarding flows, feature discoverability and adoption, in-app navigation, notification preferences, integration with vehicle features, and overall app performance sentiment. 

• Evaluate existing and proposed app functionalities to identify pain points, usability issues, and opportunities for experience enhancement within the App Operations lifecycle. 

• Analyze mobile-specific analytics data (e.g., app usage metrics, crash reports, session recordings) to inform research questions and validate findings. 

• Web Operations (DX) Focus (Approx. 50%): 

• Lead research efforts for the client's website and other digital platforms, focusing on user journeys related to vehicle configuration, online purchasing, service booking, lead generation, content consumption, and brand engagement. 

• Investigate website information architecture, navigation structures, content effectiveness, and conversion funnels to identify friction points and optimization opportunities. 

• Utilize web analytics data (e.g., Google Analytics, Adobe Analytics, heatmaps) to identify areas requiring deeper qualitative investigation. 

• Analysis, Synthesis & Communication: 

• Analyze research data from various sources (qualitative feedback, quantitative metrics) to identify patterns, themes, and actionable insights. 

• Synthesize complex findings into clear, concise, and compelling deliverables such as research reports, personas, journey maps (detailing cross-channel experiences), user flows, and actionable recommendations. 

• Present research findings and recommendations to diverse stakeholders, from product managers and designers to marketing teams and C-suite executives, adapting communication style and level of detail as appropriate. 

• Maintain a centralized repository of research insights, ensuring findings are discoverable and utilized across both App Ops and Web Ops (DX) teams. 

What we want from you: 

• Extensive Research Experience: 5+ years of hands-on experience as a UX Researcher, CX Researcher, or similar role, demonstrating a broad command of qualitative and quantitative research methodologies. 

• Automotive Industry Acumen: A demonstrated passion for and understanding of the automotive industry, customer segments, vehicle ownership lifecycle, and the role of digital services in modern motoring. 

• Dual-Platform Expertise: Proven experience conducting research across both mobile applications (iOS and Android) and complex web platforms, understanding the unique constraints and opportunities of each. 

• Methodological Versatility: Expertise in designing and executing a wide range of research methods, including but not limited to: usability testing, in-depth interviews, surveys, A/B test analysis, contextual inquiry, and ethnographic studies. 

• Analytical & Data-Driven: Strong analytical skills with the ability to interpret complex data from various sources (analytics platforms, research studies) and translate it into actionable design and business insights. 

• Collaboration & Adaptability: Exceptional collaboration skills, with the ability to seamlessly transition between and effectively support two distinct teams (App Ops and Web Ops/DX) with competing priorities. 

• Communication & Storytelling: Excellent written and verbal communication skills, with the ability to create compelling narratives from research findings and influence stakeholders at all levels. 

• Tool Proficiency: Proficiency with research tools (e.g., UserTesting.com, Qualtrics, Optimal Workshop), analytics platforms (e.g., Google Analytics, Adobe Analytics, Mixpanel, Firebase), and design collaboration tools (e.g., Figma for reviewing prototypes). 

• Strategic & Proactive: Ability to proactively identify research needs, frame problems, and define opportunities that align with business objectives, rather than just responding to requests. 

• Empathy & Customer Advocacy: A deep-seated empathy for the customer and a relentless drive to advocate for their needs throughout the product development lifecycle. 

• Agile Environment Experience: Comfortable operating within agile development methodologies, delivering timely insights to inform iterative product development. 

What we can offer you:

Alongside the opportunity to work with some of the most exciting brands around the world, we’ll also prioritise your career development and help you grow your skills. We’ll empower you to make a difference, allow you to be yourself, and respect who you are.

Permanent only:
We offer a great benefits package including a discretionary bonus scheme, training opportunities, competitive pension, medical insurance, life assurance, social events, opportunities to buy and sell holidays, family friendly policies, discounts with hundreds of retailers and much more.

Our culture thrives on our core values, designed for impact-driven individuals: Heart, Brains and Courage.

We lead with Heart, fostering empathy and trust where genuine connections and human-centric work flourish.
We empower your Brains for innovation, valuing relentless curiosity and collaborative intelligence to solve complex challenges.
And we champion Courage, inspiring you to speak up, embrace experimentation, and advocate for bold solutions that push our thinking to be better than yesterday.

AT VML Enterprise Solutions

Our Enterprise Solutions division houses strategic consultants, creative and technical architects and skilled developers and operators that together help some of the world’s leading organisations to deliver outstanding digital experiences across all major routes to market worldwide: marketplaces, online retailers, D2C, B2B and social platforms. With over 4,200 experts in 55 operational centres across 34 countries, our capabilities span the entire buying journey from customer acquisition, through engagement, to conversion and loyalty, driving multi-channel growth for world-leading brands.

We work with some of the most exciting brands such as The Coca-Cola Company, EY, Bosch, Unilever, Ford, DFS, Mercedes-Benz, Johnson & Johnson, Nestlé, Sainsbury’s, Selfridges, Shell and Tiffany & Co. We’ve built over 500 platforms for brands and retailers and generate in excess of $29bn annually for our clients and work with over 50 strategic partners including Adobe, SAP, Salesforce, HCL, Shopify, Sitecore, BigCommerce, commerce tools and Acquia. Our reputation is based on our people, and we believe we have some of the best in the business.

As our business grows internationally, we’re looking for new people to join us on our journey to inspire and take a key role in shaping some of the best commerce solutions, services, and websites in the world. Working as a team, no problem is insurmountable; we share in our client’s successes and believe that anyone can show creative bravery no matter what their role is in the team.

#LI-EMEA

We are seeking an experienced and insight-led CX Researcher to join a dedicated Customer Journey workstream supporting a high-profile automotive client. This role is focused on understanding and improving the end-to-end customer journey across key automotive experiences — from initial brand discovery and vehicle research through to purchase, ownership, servicing, retention, and loyalty interactions. 

Working closely with CX Strategists, UX Designers, Service Designers, Analysts, Content Strategists, Product teams, and client stakeholders, you will help uncover customer needs, pain points, behavioural patterns, and opportunity areas across both digital and broader connected customer experiences. You will play a critical role in ensuring customer insight directly informs journey design, prioritisation, service improvements, and strategic decision-making across the account. 

This is a highly collaborative role suited to someone who enjoys connecting customer behaviour, operational realities, and business objectives into actionable recommendations that improve experience quality and drive measurable outcomes. 

Key Responsibilities: 

1. Customer Journey Research & Insight Generation:

• Plan and conduct qualitative and quantitative customer research focused on understanding end-to-end automotive customer journeys across multiple touchpoints and channels.  

• Identify customer pain points, unmet needs, behavioural drivers, and moments of friction throughout the ownership and purchase lifecycle.  

• Conduct a range of research methodologies including customer interviews, contextual research, surveys, usability testing, diary studies, journey reviews, ethnographic research, and stakeholder workshops.  

• Synthesise complex research findings into clear, actionable insights that inform customer journey improvements and strategic recommendations.  

• Support journey-focused discovery initiatives across areas such as vehicle research, online and offline purchasing experiences, ownership journeys, servicing, aftersales, retention, and loyalty.  

• Help establish a deeper understanding of evolving customer expectations within the automotive landscape.  

1. Customer Journey Mapping & Experience Strategy:

• Create and maintain customer journey maps, service blueprints, personas, behavioural frameworks, and ecosystem maps that help visualise and communicate customer experiences.  

• Analyse interactions across digital and non-digital touchpoints to identify opportunities for greater consistency, efficiency, and customer satisfaction.  

• Support the definition of customer-centric strategies and recommendations aligned to business objectives and operational priorities.  

• Collaborate with UX, Service Design, Product, Marketing, and Operational teams to ensure customer insight is embedded throughout design and delivery processes.  

• Help prioritise journey improvements based on customer impact, feasibility, and commercial value.  

1. Data, Insight & Continuous Improvement:

• Collaborate with analytics and optimisation teams to combine behavioural data with qualitative customer insight.  

• Use customer feedback, analytics, VOC data, operational insight, and performance reporting to identify emerging trends and opportunities.  

• Support experience measurement frameworks and ongoing journey performance evaluation.  

• Contribute to continuous improvement initiatives by helping validate hypotheses, measure outcomes, and refine recommendations over time.  

• Advocate for evidence-based and customer-centred decision making across the wider programme.  

1. Collaboration & Stakeholder Engagement:

• Work collaboratively with CX Strategists, UX Designers, Service Designers, Analysts, Product Owners, Content Strategists, Developers, Program Managers, and client stakeholders.  

• Facilitate workshops, collaborative working sessions, and playback presentations with both internal teams and client stakeholders.  

• Present research findings and journey insights clearly and confidently to audiences ranging from delivery teams to senior leadership.  

• Help align cross-functional teams around customer needs, experience priorities, and strategic opportunity areas.  

• Contribute positively to team culture, ways of working, and the ongoing maturity of customer journey thinking across the account.  

What we want from you: 

• Strong experience in CX Research, UX Research, Service Design Research, Customer Insight, or related disciplines.  

• Proven experience researching and analysing end-to-end customer journeys across digital and service ecosystems.  

• Strong understanding of customer-centred design principles, behavioural insight, and journey mapping methodologies.  

• Experience conducting both qualitative and quantitative research using a variety of methodologies.  

• Ability to synthesise large volumes of research and operational information into clear, actionable recommendations.  

• Strong experience creating customer journey maps, service blueprints, personas, insight reports, and strategic frameworks.  

• Experience working across complex, enterprise, or multi-channel customer environments.  

• Strong stakeholder management, workshop facilitation, and presentation skills.  

• Ability to balance strategic thinking with hands-on delivery within fast-paced and evolving programmes.  

• Strong collaboration skills with the ability to work effectively across CX, UX, product, analytics, content, and operational teams.  

• Excellent communication and storytelling skills with the ability to make complex customer insight accessible and impactful.  

• Automotive, retail, mobility, travel, financial services, or other customer experience-led industry experience is advantageous but not essential.  

• A proactive, curious, and empathetic mindset with a passion for improving customer experiences through insight-led thinking.  

• A strong portfolio showcasing customer research approaches, journey mapping, and measurable experience improvements is essential. 

What we can offer you:

Alongside the opportunity to work with some of the most exciting brands around the world, we’ll also prioritise your career development and help you grow your skills. We’ll empower you to make a difference, allow you to be yourself, and respect who you are.

Permanent only:
We offer a great benefits package including a discretionary bonus scheme, training opportunities, competitive pension, medical insurance, life assurance, social events, opportunities to buy and sell holidays, family friendly policies, discounts with hundreds of retailers and much more.

Our culture thrives on our core values, designed for impact-driven individuals: Heart, Brains and Courage.

We lead with Heart, fostering empathy and trust where genuine connections and human-centric work flourish.
We empower your Brains for innovation, valuing relentless curiosity and collaborative intelligence to solve complex challenges.
And we champion Courage, inspiring you to speak up, embrace experimentation, and advocate for bold solutions that push our thinking to be better than yesterday.

AT VML Enterprise Solutions

Our Enterprise Solutions division houses strategic consultants, creative and technical architects and skilled developers and operators that together help some of the world’s leading organisations to deliver outstanding digital experiences across all major routes to market worldwide: marketplaces, online retailers, D2C, B2B and social platforms. With over 4,200 experts in 55 operational centres across 34 countries, our capabilities span the entire buying journey from customer acquisition, through engagement, to conversion and loyalty, driving multi-channel growth for world-leading brands.

We work with some of the most exciting brands such as The Coca-Cola Company, EY, Bosch, Unilever, Ford, DFS, Mercedes-Benz, Johnson & Johnson, Nestlé, Sainsbury’s, Selfridges, Shell and Tiffany & Co. We’ve built over 500 platforms for brands and retailers and generate in excess of $29bn annually for our clients and work with over 50 strategic partners including Adobe, SAP, Salesforce, HCL, Shopify, Sitecore, BigCommerce, commerce tools and Acquia. Our reputation is based on our people, and we believe we have some of the best in the business.

As our business grows internationally, we’re looking for new people to join us on our journey to inspire and take a key role in shaping some of the best commerce solutions, services, and websites in the world. Working as a team, no problem is insurmountable; we share in our client’s successes and believe that anyone can show creative bravery no matter what their role is in the team.

#LI-EMEA

We are seeking an experienced and insight-driven CX Researcher to join a dedicated Web Operations (Digital Experience - DX) team supporting a high-profile automotive client. This role is ideal for someone passionate about understanding customer behaviour, uncovering actionable insights, and helping shape data-informed digital experiences across complex web ecosystems. 

Working closely with UX Designers, UI Designers, Analysts, Optimisation specialists, Content Strategists, Developers, Product Owners, and client stakeholders, you will play a key role in identifying customer needs, pain points, behaviours, and opportunities across the client’s digital platforms. You will help ensure customer insight sits at the centre of experience design, optimisation, and operational decision-making across the Web Ops (DX) environment. 

This is a highly collaborative role suited to someone comfortable balancing strategic research initiatives with fast-paced operational support, helping continuously improve customer journeys, digital performance, and overall experience quality through evidence-based recommendations. 

Key Responsibilities: 

1. Customer Research & Insight Generation (Web Operations / Digital Experience Focus):

• Plan, conduct, and synthesise qualitative and quantitative research activities across the client’s web ecosystem.  

• Deliver actionable customer insights that help shape UX improvements, optimisation initiatives, content strategies, and broader digital experience decisions.  

• Conduct a range of research methodologies including user interviews, usability testing, surveys, diary studies, heuristic reviews, competitor analysis, behavioural analysis, and stakeholder workshops.  

• Analyse customer pain points, friction areas, and unmet needs across key automotive customer journeys including research, purchase consideration, ownership, and servicing experiences.  

• Support ongoing operational and optimisation initiatives by identifying opportunities for continuous improvement across digital touchpoints.  

• Translate complex findings into clear, digestible insights and recommendations for both technical and non-technical stakeholders.  

1. Data-Informed Experience Optimisation:

• Collaborate closely with analytics and optimisation teams to combine behavioural data with qualitative customer insight.  

• Support CRO and experimentation initiatives by helping define hypotheses, evaluate user behaviour, and validate design decisions.  

• Use analytics platforms, heatmaps, session recordings, surveys, and customer feedback tools to identify experience improvement opportunities.  

• Help measure the effectiveness of digital experiences and contribute to ongoing optimisation roadmaps.  

• Advocate for evidence-based decision making across the wider DX team and client organisation.  

1. Customer Journey & Experience Strategy Support:

• Develop customer journey maps, personas, behavioural frameworks, and insight reports that support experience strategy and design decision-making.  

• Help identify end-to-end customer experience opportunities across multiple channels and touchpoints.  

• Support workshops and collaborative sessions to align stakeholders around customer needs, priorities, and opportunity areas.  

• Contribute to the definition of customer-centric frameworks, principles, and ways of working within the Web Ops (DX) team.  

• Ensure customer insight is effectively integrated into product, content, UX, and optimisation workflows.  

1. Collaboration & Stakeholder Engagement:

• Work collaboratively with UX Designers, UI Designers, Content Strategists, Analysts, Developers, Product Owners, Program Managers, and client stakeholders.  

• Present research findings, insights, and recommendations clearly and confidently to diverse audiences ranging from delivery teams to senior stakeholders.  

• Collaborate with cross-functional teams to ensure research outputs are actionable, measurable, and aligned to business objectives.  

• Support the prioritisation of customer experience opportunities based on user impact, feasibility, and commercial value.  

• Contribute positively to team culture, research maturity, and continuous improvement initiatives within the DX team.  

What we want from you: 

• Strong experience in CX Research, UX Research, Service Design Research, or related customer insight disciplines within digital environments.  

• Proven experience conducting and synthesising both qualitative and quantitative research methodologies.  

• Strong understanding of digital customer journeys, user behaviour analysis, and customer-centred design principles.  

• Experience working across complex web ecosystems, digital products, or enterprise-level platforms.  

• Ability to translate research findings into clear, actionable insights and strategic recommendations.  

• Strong experience creating research outputs including journey maps, personas, insight reports, workshop outputs, and behavioural analysis.  

• Familiarity with analytics, experimentation, CRO, and behavioural insight tools and methodologies.  

• Strong workshop facilitation, stakeholder engagement, and presentation skills.  

• Comfortable working within fast-paced operational environments managing multiple concurrent priorities and research requests.  

• Strong collaboration skills with the ability to work effectively across UX, UI, analytics, optimisation, content, and development teams.  

• Excellent communication and storytelling skills with the ability to simplify complex information for varied audiences.  

• Automotive, retail, eCommerce, or premium consumer brand experience is advantageous but not essential.  

• A proactive, curious, and solutions-focused mindset with a passion for improving customer experiences through insight-led decision making. 

What we can offer you:

Alongside the opportunity to work with some of the most exciting brands around the world, we’ll also prioritise your career development and help you grow your skills. We’ll empower you to make a difference, allow you to be yourself, and respect who you are.

Permanent only:
We offer a great benefits package including a discretionary bonus scheme, training opportunities, competitive pension, medical insurance, life assurance, social events, opportunities to buy and sell holidays, family friendly policies, discounts with hundreds of retailers and much more.

Our culture thrives on our core values, designed for impact-driven individuals: Heart, Brains and Courage.

We lead with Heart, fostering empathy and trust where genuine connections and human-centric work flourish.
We empower your Brains for innovation, valuing relentless curiosity and collaborative intelligence to solve complex challenges.
And we champion Courage, inspiring you to speak up, embrace experimentation, and advocate for bold solutions that push our thinking to be better than yesterday.

AT VML Enterprise Solutions

Our Enterprise Solutions division houses strategic consultants, creative and technical architects and skilled developers and operators that together help some of the world’s leading organisations to deliver outstanding digital experiences across all major routes to market worldwide: marketplaces, online retailers, D2C, B2B and social platforms. With over 4,200 experts in 55 operational centres across 34 countries, our capabilities span the entire buying journey from customer acquisition, through engagement, to conversion and loyalty, driving multi-channel growth for world-leading brands.

We work with some of the most exciting brands such as The Coca-Cola Company, EY, Bosch, Unilever, Ford, DFS, Mercedes-Benz, Johnson & Johnson, Nestlé, Sainsbury’s, Selfridges, Shell and Tiffany & Co. We’ve built over 500 platforms for brands and retailers and generate in excess of $29bn annually for our clients and work with over 50 strategic partners including Adobe, SAP, Salesforce, HCL, Shopify, Sitecore, BigCommerce, commerce tools and Acquia. Our reputation is based on our people, and we believe we have some of the best in the business.

As our business grows internationally, we’re looking for new people to join us on our journey to inspire and take a key role in shaping some of the best commerce solutions, services, and websites in the world. Working as a team, no problem is insurmountable; we share in our client’s successes and believe that anyone can show creative bravery no matter what their role is in the team.

#LI-EMEA #LI-AS1

• Lead and execute end-to-end projects across both Qualitative and Quantitive research, from initial planning and scoping to synthesis of findings and actionable recommendations, with close collaboration with product, design and engineering partners throughout.
• Conduct specialised research focused on Anaplan's AI-driven products, evaluating their effectiveness, identifying areas for improvement, and exploring new opportunities for innovation.
• Design and execute a range of research methods—including interviews, usability testing, surveys—while managing participant recruitment, logistics, and success metrics.
• Synthesise data from multiple sources (user research, analytics, customer feedback) into clear, actionable insights that drive prioritisation and product outcomes.
• Present research findings and insights to a variety of audiences, including executive leadership, to drive user-centered strategy.
• Champion the application of AI-powered tools and methodologies within the research process to enhance efficiency and uncover deeper insights.
• Lead on research practices, tools, and ways of working, while educating and supporting partners on when and how to apply research effectively.

• Proven experience in a senior research position, with a track record of leading high-impact research projects for both strategic and tactical product innovations.
• Deep understanding of core research methods and experience conducting user research on complex products, including AI-powered products.
• Strong ability to analyse and synthesise qualitative and quantitative data into clear insights that influence product direction.
• Skilled communicator who can present insights in a clear, engaging, and persuasive way to drive alignment across cross-functional teams.
• Hands-on experience utilising AI-powered tools (e.g., automated analysis, sentiment analysis, predictive modelling) to enhance the research process.
• Proven ability to work effectively in a collaborative, fast-paced environment with senior stakeholders and to manage multiple projects simultaneously.
• Skilled communicator who can present insights in a clear, engaging, and persuasive way to drive alignment across cross-functional teams.

• Experience in B2B or SaaS environments, particularly with complex, data-rich products.
• Experience in strategic research for AI-powered products.
• Familiarity with enterprise domains such as financial planning, forecasting, or decision-making tools.
• Background in Human-Computer Interaction, Psychology, or a related field.

• Lead and execute end-to-end projects across both Qualitative and Quantitive research, from initial planning and scoping to synthesis of findings and actionable recommendations, with close collaboration with product, design and engineering partners throughout.
• Conduct specialised research focused on Anaplan's AI-driven products, evaluating their effectiveness, identifying areas for improvement, and exploring new opportunities for innovation.
• Design and execute a range of research methods—including interviews, usability testing, surveys—while managing participant recruitment, logistics, and success metrics.
• Synthesise data from multiple sources (user research, analytics, customer feedback) into clear, actionable insights that drive prioritisation and product outcomes.
• Present research findings and insights to a variety of audiences, including executive leadership, to drive user-centered strategy.
• Champion the application of AI-powered tools and methodologies within the research process to enhance efficiency and uncover deeper insights.
• Lead on research practices, tools, and ways of working, while educating and supporting partners on when and how to apply research effectively.

• Proven experience in a senior research position, with a track record of leading high-impact research projects for both strategic and tactical product innovations.
• Deep understanding of core research methods and experience conducting user research on complex products, including AI-powered products.
• Strong ability to analyse and synthesise qualitative and quantitative data into clear insights that influence product direction.
• Skilled communicator who can present insights in a clear, engaging, and persuasive way to drive alignment across cross-functional teams.
• Hands-on experience utilising AI-powered tools (e.g., automated analysis, sentiment analysis, predictive modelling) to enhance the research process.
• Proven ability to work effectively in a collaborative, fast-paced environment with senior stakeholders and to manage multiple projects simultaneously.
• Skilled communicator who can present insights in a clear, engaging, and persuasive way to drive alignment across cross-functional teams.

• Experience in B2B or SaaS environments, particularly with complex, data-rich products.
• Experience in strategic research for AI-powered products.
• Familiarity with enterprise domains such as financial planning, forecasting, or decision-making tools.
• Background in Human-Computer Interaction, Psychology, or a related field.

About Graphcore

At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

As a researcher at Graphcore, you will contribute to the advancement of AI research, investigating new ideas that push the limits on important AI/ML problems. Specialised hardware has been the key driver of the progress of AI over the last decade, and we believe that hardware-aware AI algorithms and AI-aware hardware developments will continue to be critical to advancing this exciting field. As such, we’re looking for candidates who are keen scientists and engineers, with the theoretical and practical skills needed for impactful AI research.

We are looking for researchers with experience of AI in low-power, edge and embodied scenarios such as robotics, autonomous driving and augmented/virtual reality. We are interested in the training and deployment of multimodal AI models in these contexts, covering areas such as world models, real-time computer vision, generating and reasoning over audio/video streams.

The Team

Graphcore Research participates in both fundamental and applied research, to characterise the computational requirements of machine intelligence and to demonstrate how hardware can drive the next generation of innovative AI models. We publish at leading AI/ML conferences (NeurIPS, ICML, ICLR) as well as specialist workshops, and collaborate with other research teams and organisations across the world.

We pride ourselves on being a supportive and collaborative team, where we organise around our individual research interests to solve problems together in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications, including for sequence- and graph-based data. We’re based across London, Cambridge and Bristol, with projects and discussions that involve all our locations.

Perhaps the best way to get an idea of what we’re all about is to read one of our papers or an article on our blog. If you’re excited to work at the cutting edge of AI supported by new hardware and want to develop your skills in this area, we’d love to hear from you!

Responsibilities and Duties

• Generate AI/ML ideas, design experiments, implement them & evaluate results.
• Prepare, submit & present your work to AI conferences and workshops.
• Collaborate with researchers, silicon and software engineers at Graphcore to help define, build and test Graphcore’s next generation of AI hardware.

About you:

Essential:

• Master’s, PhD or equivalent experience in a technical discipline (e.g., Maths, Statistics, Computer Science, Physics, Chemistry, Biomedical Engineering).
• Experience in embodied AI, world models or robotics.
• Python programming in a modern deep learning framework, e.g. PyTorch or JAX.
• Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling.
• Capable of designing, executing and reporting from ML experiments.
• Mathematics skills to support the above: calculus, probability theory and linear algebra.
• Experience submitting papers to international scientific conferences or workshops.

Desirable:

• Lower-level programming for hardware efficiency, e.g. C++/CUDA/Triton.
• Practical familiarity with hardware capabilities for deep learning – threads, caches, vector & matrix engines, data dependencies, bus widths and throttling.
• Practical familiarity with software stacks for deep learning – compilation, kernel fusion, XLA/ATen ops, streams, and asynchronous execution.
• Conference or workshop submissions in the fields of embodied AI, world models, or robotics.

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

About Us:
Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser.

Overview:
DV Trading is seeking an experienced, high-performing trader to deploy and scale profitable strategies on a best-in-class proprietary platform. This role is designed for individuals with a demonstrated ability to generate alpha who are looking for greater autonomy, access to capital, and a high-performance environment without the constraints of traditional institutions.

The platform supports a wide range of experience levels—from highly established traders who operate independently end-to-end, to developing traders who may benefit from support in areas such as research, technology, or execution. Resources across quant research, engineering, and infrastructure are available to help accelerate strategy development and growth.

Job Responsibilities:

• Independently manage and scale a proprietary trading strategy
• Develop, refine, and optimize models, signals, and execution frameworks
• Take full ownership of risk, positioning, and P&L
• Leverage DV’s technology, infrastructure, and support to expand your book
• Collaborate with traders, quants, and engineers to enhance strategy performance

Requirements:

• Minimum 2+ years of experience at a proprietary trading firm, hedge fund, or bank
• Demonstrated, consistently profitable trading strategy (all asset classes considered)
• Proven track record of live performance (beyond backtesting)
• Strong return on capital (ROC)
• Experience contributing to or leading successful trading teams
• Ability to communicate effectively across functions, including leadership, risk, compliance, engineering, and legal

DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV’s posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

📍London, Cardiff or UK Remote | 💰£100,000-£135,000 + Benefits | Research at Monzo 

About us:

We’re here to make money work for everyone and we're doing things differently. For too long, banking has been obtuse, complex and opaque.

We want to change that and build a bank with everyone, for everyone. Our amazing community suggests features, test the app and give us constant feedback so we can build something everyone loves.

We're focused on solving problems, rather than selling financial products. We want to make the world a better place and change people's lives through Monzo.

About our Research Team: We are currently a team of around 30 individual contributors, who are embedded in collectives like Core Banking and Business Banking. We work cross functionally with Product Management, Product Design, Marketing, Brand and Engineering teams. Our research organisation is led by Katherine Vaughan, our Director of Research. Katherine reports into Vuokko Aro, Monzo’s Chief Design Officer. 

About the role..

As Senior Market Research Manager, you’ll build and lead a team of Market Researchers embedded across Monzo. While you scale the team, you’ll be hands-on in delivering the deep customer and market insights that shape our product and growth strategies. You’ll champion robust market research and scale its impact to help us make money work for everyone. While our existing team excels at understanding our current users, you will be the expert on the non-user and the wider market, bridging the gap between where we are today and where we want to grow.

What you’ll be working on

Impacting strategy 

• Partner with leadership to make sure teams are solving the right customer problems in the right ways based on market understanding.
• Deepen our understanding of Monzo’s diverse user base to make sure products resonate across different needs and behaviours.
• Lead competitive analysis and shape value propositions to tailor our brand voice for new global markets.
• Making sure your research team is working on the highest impact opportunities
• Translating market insights into commercial opportunities.
• Increase visibility of insights, making sure action is taken as a result across the organisation.

Doing market research

• Doing and enabling primary qualitative and quantitative studies to analyse competitors, macro trends, pricing, and brand perception.
• Use quantitative methods like conjoint analysis, MaxDiff, and segmentation to help us sharpen and prioritise our plans (making use of Qualtrics or partnering with Data when relevant).
• Test and refine messaging and product positioning to ensure they resonate in market.
• Effectively partnering with external agencies when needed.

Leading people  

• Building the future of the Market Research discipline at Monzo.
• Managing our first team of Market Researchers, supporting 1-3 direct reports.
• Partnering with our Research Operations team to set the standard for the tools and processes needed for our Market Research discipline.
• Continually raising the standard of market research.
• Hiring brilliant, diverse people and ensuring they are onboarded to be quickly effective.

You should apply if:

You’ve enabled product and growth strategy, ideally in a high growth org 

• You're passionate about understanding the market and finding new opportunities to innovate.

• You’ve had experience building or informing go-to-market strategies and driving  sustainable growth through strategic thinking.
• You drive projects forward through clear communication and a focus on high-impact outcomes.
  
  

You have market research expertise 

• You’ve used market research methods, including branding, advertising, and growth marketing research in a high growth product or technology organisation.

• You are able to triangulate a range of insights (brand tracking data, user insights etc) into a compelling source of truth that helps others move forward effectively.
• You are comfortable with advanced quantitative analysis techniques, such as conjoint analysis, max-diff scaling, clustering and segmentation. 
• You blend qual and quant rigorously and thoughtfully.
• You're comfortable in modern research tech stacks and can independently drive analysis from raw data if needed. 

You lead people to do their best work

• You have experience coaching non-researchers on how to effectively use market insights.
• You are an empowering manager who balances high autonomy with supportive coaching and kind, clear performance management where needed.

Even better if 

• You’ve enabled successful international expansion, you’ve helped scale a high-growth agile tech org, or you’ve worked in B2B as well as B2C.

🙌What’s in it for you

💰£100,000-£135,000 ➕share options.

✅ We can sponsor your visa. 

📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London)

⏰We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. 

📚£1,000 learning budget each year to use on books, training courses and conferences.

🏡We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. 

➕ Plus lots more! Read our full list of benefits.

The Interview Process: 

Our interview process involves 3 main stages: 

1. Recruiter call (30 minutes). A video chat with Natalie who is part of our hiring team. This focuses on general suitability for Monzo. 
2. Research Leadership Ways of Working (60 minutes). You will be sent a pre-interview task by the hiring team, which you will discuss in the interview, followed by situation questions.
3. Final loop (Total 1hr 30-2 hours). Split into 2 interviews - Managing teams & People + Teamwork & Impact

Our average process takes around 2-3 weeks but we will always work around your availability.

We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here. 

Equal opportunities for everyone 

Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2024 Diversity and Inclusion Report and 2024 Gender Pay Gap Report.

We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.

If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

#LI-NH1

Hudson River Trading (HRT) is seeking exceptional full-time PhD students to join our Algorithm Development team. Algorithm Developers are responsible for building and maintaining the models that drive our trading. A typical day involves applying rigorous statistical analysis to vast quantities of market and financial data to produce predictive trading models. 

In this role, you will work alongside fellow Algorithm Developers and Software Engineers to research, develop, and test novel order execution and model training methods to increase trading efficiency. This will involve running models live on our high-performance trading infrastructure and analyzing daily performance to maintain ongoing profitability. You can expect to apply your advanced academic research experience and expertise to impactful real world problems in trading across time horizons and machine learning strategies.

Profile

• You’re excited to apply your research expertise to identify new opportunities in worldwide markets  
• You enjoy both self-guided research and collaborating with others to analyze and fix problems efficiently
• You are a critical thinker who can learn and implement new skills in a fast-changing environment

Qualifications

• You are a full-time PhD student in a quantitative discipline (math, physics, computer science, statistics, or a related program) who is eligible for full-time roles in 2026
• Fluency in Python
• Experience with statistical analysis, numerical programming, or machine learning in Python, Pandas/Numpy, R, and/or MATLAB
• Brilliant analytical and problem-solving skills
• Ability to work creatively and independently on long-term technical problems

The estimated base salary for this position is 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Hudson River Trading (HRT) is hiring an AI Researcher to join the HAIL team. HAIL (HRT AI Labs) is the team at HRT responsible for developing and maintaining our most powerful models, which are used by our trading teams to drive a significant fraction of our trading. We are building and deploying "foundation models for markets", that ingest and train on vast amounts of market data, to make predictions about future market state. We are seeking experienced AI researchers to join our team to accelerate our efforts.

Researchers have great independence to pursue the research directions they think would be most impactful as part of a small focused team with minimal bureaucracy. They are enabled by state-of-the-art research clusters with very high GPU-to-researcher ratios, and supported by excellent engineering, hardware, and systems teams to realize their vision. Your work will be directly, clearly, highly impactful on the business, and it will be challenging: this is a field with no easy or obvious solutions. You'll be responsible for improving every part of our models: from featurization of data, to architecture design, to training dynamics, to how trading decisions are made.

Qualifications

• Must have two or more years work experience in deep learning research, for any domain: robotics, biology, chemistry, physics, audio, video, etc.
• Experience translating methods between areas of application is highly valued.
• LLM experience is valuable, but not necessary.
• Strong engineering skills valued, especially any of: GPU kernel development, lower-level Pytorch/JAX development, intermediate C++, FPGA/ASIC experience, HPC experience.

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. 

This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.

Working as a coder at Hudson River Trading (HRT) means working on a small, highly productive, and efficient team. You may see "trading" in our name and assume you'll be relegated to some dark corner to code for the "business," but that could not be further from the truth! 

At HRT, an automated trading firm based in NYC, the code you write *is* our business, so it is everyone's job to make sure our developers have everything they need to do their jobs well.

As a member of the AI Tools team, you will be responsible for increasing productivity across the company by integrating the newest AI tools into our users’ workflows. Whether it’s for a Python developer writing a web app, a C++ developer speeding up order execution, a researcher investigating trade signals, or even Business Development meeting with vendors - we are focused on deploying what works.

This is an exciting opportunity to help build and define the AI tooling ecosystem at HRT. You will have to navigate the rapidly evolving options in this space, and adapt them to our own internal systems. You might be fixing auth one day, comparing vendors the next, and coding a new MCP the third. 

Responsibilities

• Help us develop software that improves productivity for every office and department at HRT while using the latest technologies and techniques in software engineering and the broader AI tooling ecosystem.
• HRT has many high-impact areas where we are integrating AI tools; here’s what you could work on:
• Writing a custom MCP wrapper around internal resources.
• Fine-tuning a new code completion model.
• Deploying a new coding assistant across all developer and researcher environments.
• Developing evaluations and iterating on an autonomous coding agent.
• Collaborating with security to improve AI sandboxing.
• Presenting and educating users on best practices.

Profile

• You’re one of the top devs in your current organization, as measured by productivity, technical capability, and helpfulness to other devs.
• Experience deploying and maintaining applications. You’ve managed an application from the design phase through the production phase.
• You’re comfortable with defining direction in an environment of ambiguity and uncertainty. The AI tooling space changes rapidly.
• You really like to work with people who challenge you and make you better at what you do.
• In your spare time you code, tinker, read, explore, break things, and have an insatiable curiosity for all things AI and computer-related.

Qualifications

• Completed a Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. If you are currently pursuing your Bachelor's degree, please apply to our Campus/New Grad opportunities.
• Python experience is required, daily use of most recent standards preferred.
• C++ and JavaScript (TypeScript, React) experience a plus.
• Experience with the AI tooling ecosystem (use coding assistants/agentic workflows, ideally have built your own customizations).
• Superior design, debugging, and problem solving skills.
• Knowledge of UNIX operating systems (we use Linux), system/processor performance, and network communication.

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Hudson River Trading (HRT) is a quantitative trading firm at the forefront of technological innovation. We build and deploy cutting-edge systems within one of the world’s most advanced computing environments to power our global trading operations. Our non-siloed, collaborative coding environment empowers talented engineers to make significant contributions and see their impact daily. At HRT, you'll be challenged to solve the most complex problems in trading alongside many of the brightest minds in the field.

We are seeking highly motivated and skilled Research Engineers who will work very closely with our Algo Developer (Quant Research) trading teams. These roles require exceptional programming fundamentals, a strong user focus, and the ability to thrive in a fast-paced environment with constantly evolving requirements. Multitasking and context switching are inherent aspects of this role, through which you will gain insight into the ideation and execution of some of the world's most sophisticated trading strategies.  

Research Engineers at HRT work on a wide variety of projects. Examples include:

• Designing highly customized quantitative systems that enable Algo Developers to easily express and backtest new predictive signals.
• Building world-class research tooling to speed up Algo Developers’ research iteration.
• Aiding the development and deployment of very large deep learning models for HRT’s live trading.
• Improving HRT’s monetization systems which turn our predictions into profitable trades.
• Evaluating sim vs. live differences to improve the fidelity of our simulations.
• Building systems to monitor and manage live trading.
• Specializing in specific time horizons, from high frequency trading to mid-to-low frequency hedge fund-style strategies.
• Working across a very wide variety of asset classes (from equities to fixed income to options) and regions (from North America to Asia Pacific) – you’ll interact with markets across the world!

Responsibilities

• Design, develop, and maintain robust, performant, and scalable software systems.
• Optimize existing codebases for performance, reliability, and efficiency.
• Debug complex issues across distributed systems in a time-sensitive environment.
• Optimize both the mechanics and ergonomics of Algo Developer research workflows; this requires developing a deep intuition for research methodologies.
• Balance the short term goals of individual trading teams with the longer term goals of HRT’s generalized trading platforms across trading teams. Because we don’t work in a pod environment, REs on different trading teams are expected to share technology and ideas.

Qualifications

• Completed a Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. If you are currently pursuing your Bachelor's degree, please apply to our Campus/New Grad opportunities.
• Previous experience at a top-tier finance or technology company with an excellent track record of rapid advancement and superlative reviews.
• Experience with supporting internal users is preferred; bonus if you have real hands-on experience with quant research and/or ML/Deep Learning platforms.
• Experience with python numerical, ML and data-oriented libraries is a big plus (e.g. pandas, scikit, pytorch, etc.)
• Candidates should be prepared for technical interviews in either Python or C++. While there is no hard language requirement for RE roles, proficiency in one of these languages will be assessed during the interview process.
• Kindness and empathy is a real requirement. No “smart jerks” at HRT. 
• Strong understanding of data structures, algorithms, and design principles.
• Excellent communication skills, both written and verbal.
• HRT ships every day. The ability to thoughtfully, methodically, and reliably deploy new software and features is a critical skill. 
• If you have management experience, that’s always a bonus – but even so, expect to code!

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

For more info about interviewing at HRT, see this blog!

HRT is seeking quantitative researchers to join our effort in developing mid-frequency systematic trading strategies. Candidates will apply rigorous statistical methods on a wide range of datasets and implement trading models based on novel predictions of market behavior, all while leveraging HRT’s world-class research and trading infrastructure.

Successful candidates will be part of a growing effort and have the opportunity to contribute to all aspects of strategy development, including alpha generation, portfolio construction/optimization and trade execution algorithms. Researchers are responsible for not only prototyping and conducting research into various strategy components, but also writing code to productionalize their ideas; thus, interest and experience in programming are essential.

HRT employees enjoy a collegial and non-siloed environment; candidates will work closely with other researchers to develop new ideas and refine existing trading models.

Skills

• 3+ years of prior work experience in stat-arb required
• Degree in a quantitative or technical discipline (e.g. statistics, computer science, physics, mathematics, economics)
• Exceptional academic credentials
• Demonstrated ability to conduct research using large noisy real-world datasets
• Exceptional attention to detail and desire to understand issues deeply
• Outstanding work ethic and ability to thrive in a fast-paced environment
• Strong numerical programming skills, including proficiency in Python for data analysis and machine learning. Experience with C++ a plus

The estimated base salary range for this position is $175,000 to $300,000 per year, based on job-related skills and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

We seek a quantitative researcher to join our Investment Management & Research group. As part of a collaborative quant team, you will partner with portfolio managers, researchers and technologists to implement and operate our core systematic macro strategies.

Your responsibilities will include:

• Researching and backtesting systematic macro trading signals
• Developing and operating trading strategies across a wide range of markets
• Partnering with data engineering and technology teams to build and improve infrastructure

What we are looking for:

• Previous experience (2+ years) working in a systematic macro trading environment, preferably as part of an established quant group trading futures, forwards and related markets
• Data analysis and coding experience (preferably Python/pandas/numpy)
• Strong communication skills with the motivation to work in a large collaborative investment group structure

We seek a systematic commodities PM/quant strategist with experience building and operating systematic fundamental commodiites trading strategies to join our Investment Management & Research (IMR) group. You will work as part of a collaborative quant group structure in which you will leverage significant technology and process resources provided by internal teams in order to deliver your strategies.

Responsibilities:

• Developing and operating scalable systematic trading strategies in specific commodities markets (eg energies, metals, agriculturals)
• Working with quant researchers and other PMs/strats to enhance your strategy and contribute to others
• Liaising with technology and data teams to build infrastructure required for your trading
• Overseeing the operation of trading strategies with regard to trading activity, positions and performance

What We're Looking For:

• Previous experience and/or trading track record in systematic commodities trading
• Excellent knowledge of commodity markets fundamentals, supply/demand modelling and associated data sets
• Technical skills in data analysis, Python programming and understanding of instrument mechanics
•  Leadership and communication skills to operate in a collaborative environment and drive changes required for your strategy

What We Offer:

• World-class infrastructure for developing and operating systematic trading strategies
• An exceptional opportunity to learn from others and have a broad impact

About the Role

From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses or data lake, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.

We’re looking for a Pricing Product Marketing Manager to join Fivetran’s Product + Portfolio Marketing team.

Pricing is one of the most important strategic levers at Fivetran. This role will help translate our pricing and monetization direction into effective go-to-market execution, clear customer-facing value narratives, and strong internal enablement. You will partner closely with Product, Sales, Marketing, Enablement, Legal, and Leadership to support pricing-related launches, research market perception, and improve how we communicate value to the market.

This role is a highly cross-functional position for someone who can turn pricing decisions into effective rollout plans, compelling messaging, actionable insights, and stronger customer sentiment. You will help Fivetran better understand how pricing is perceived, where friction exists, and how to improve value communication across the buyer journey.

The right person is equal parts storyteller, researcher, and operator: someone who can bring structure to ambiguous problems, influence cross-functional partners, and make complex pricing concepts easier for customers and internal teams to understand.

This is a full-time position based out of our London office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

What You’ll Do

• Lead pricing and monetization go-to-market execution: Partner with Product, Legal, and leadership to support the rollout of pricing and packaging changes across new products, features, and platform capabilities. Build launch plans, messaging, internal communications, and GTM enablement and materials that ensure pricing changes are clearly understood internally and externally. Help drive cross-functional alignment across Sales, Marketing, and Enablement. Support pricing experiments and help evaluate how customers respond to different monetization approaches.
• Own pricing and value messaging: Develop differentiated, value-based messaging for Fivetran’s pricing and platform value. Translate pricing into clear, customer-relevant narratives that connect product investment to business outcomes. Tailor messaging by persona, segment, and stage of the buyer journey, from awareness through evaluation, purchase, and expansion. Improve how Fivetran communicates price, value, and return on investment in the market.
• Improve value and pricing sentiment: Identify the drivers of pricing perception in the market and recommend ways to improve customer understanding and confidence. Partner with Demand Generation, Content, and campaigns teams to activate stronger value messaging across key channels like AEO/SEO. Support the development of customer stories, benchmark content, sales narratives, and market-facing assets that reinforce Fivetran’s value.
• Drive research and insight generation: Conduct ongoing research into customer perception, willingness to pay, buying behavior, and competitive pricing narratives in partnership with product and the Office of Research. Gather and synthesize insights from win/loss analysis, seller feedback, customer calls, analyst conversations, usage trends, deal data, and billing data. Formulate clear recommendations to improve messaging, launches, and monetization outcomes.
• Enable internal teams: Serve as a go-to resource for pricing and value communication across GTM teams. Equip Sales and customer-facing teams with the messaging, talk tracks, decks, FAQs, and objection-handling materials they need to sell value effectively. Design, build and deliver content and materials to support Sales and Marketing teams. Increase internal clarity and confidence around how pricing works, why it exists, and how to discuss it with customers.

Skills We're Looking For

• ​​4–7 years of experience in product marketing, product strategy, product management, monetization, sales strategy, or a related go-to-market role at a B2B SaaS company
• Experience supporting pricing, packaging, monetization, or value messaging initiatives in a cross-functional environment
• Strong product marketing fundamentals, including positioning, messaging, launches, enablement, and market research
• Ability to translate complex pricing concepts into simple, credible, customer-facing narratives
• Strong understanding of enterprise and commercial sales motions, including how pricing conversations show up across new business and expansion
• Experience partnering closely with Product, Sales, Marketing, Enablement, Analytics, and executive stakeholders
• Strong analytical skills and comfort using qualitative and quantitative inputs to inform recommendations
• Excellent written and verbal communication skills
• Strong project management skills and the ability to drive clarity across multiple stakeholders and workstreams
• Familiarity with the modern data ecosystem, including data integration, cloud data warehouses, data lakes, analytics, and AI-driven use cases, is a plus

#LI-NR1
#LI-HYBRID

What You’ll Do:

The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. 

About the role:

As a Solutions Architect at CoreWeave, you will play a vital and dynamic role. You will have the opportunity to demonstrate thought leadership and engage hands-on throughout our customers' entire lifecycle. From establishing their Kubernetes environment to developing proofs of concept, onboarding, and optimizing workloads, you will lead innovation at every turn. If you're driven by innovation, thrilled by the possibilities of what specialized compute can enable, and eager to be part of a team that's shaping the future, then CoreWeave is the place for you. Join us and let's embark on this adventure together!

In this role, you will:

• Serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings, focusing on Kubernetes solutions within high-performance compute (HPC) environments
• Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements.
• Lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments.
• Drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise.
• Act as a virtual member of CoreWeave's Kubernetes product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions.
• Offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture.
• Conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions.
• Stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders.
• Lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption.
• Represent CoreWeave at conferences and industry events, with occasional travel as required.

Who You Are:

• B.S. in Computer Science or a related technical discipline, or equivalent experience
• 7+ years of proven experience as a Solutions Architect, engineer, researcher, or technical account manager in cloud infrastructure, focusing on building distributed systems or HPC/cloud services, with an expertise focused on scalable Kubernetes solutions
• Fluency in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions
• Proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences
• Familiar with NVIDIA GPUs typically used in AI/ML applications and associated technologies such as Infiniband and NVIDIA Collective Communications Library (NCCL) 
• Experience with running large-scale Artificial Intelligence/Machine Learning (AI/ML) training and inference workloads on technologies such as Slurm and Kubernetes. You understand integration points between cloud solutions and enterprise IT 

Preferred:

• Code contributions to open-source inference frameworks
• Experience with scripting and automation related to Kubernetes clusters and workloads
• Experience with building solutions across multi-cloud environments
• Client or customer-facing publications/talks on latency, optimization, or advanced model-server architectures

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

• You love to help solve challenging technical problems
• You’re curious about the latest and greatest technologies in the AI space
• You’re an expert in managing conflict and achieving mutually beneficial technical outcomes

The base salary range for this role is £98,000 - £130,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

What You’ll Do:

The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. 

About the role:

As a Solutions Architect at CoreWeave, you will play a vital and dynamic role. You will have the opportunity to demonstrate thought leadership and engage hands-on throughout our customers' entire lifecycle. From establishing their Kubernetes environment to developing proofs of concept, onboarding, and optimizing workloads, you will lead innovation at every turn. If you're driven by innovation, thrilled by the possibilities of what specialized compute can enable, and eager to be part of a team that's shaping the future, then CoreWeave is the place for you. Join us and let's embark on this adventure together!

In this role, you will:

• Serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings, focusing on securing Kubernetes workloads within cloud infrastructure environments
• Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements.
• Lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments.
• Drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise.
• Act as a virtual member of CoreWeave's Security product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions.
• Offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture.
• Conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions.
• Stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders.
• Lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption.
• Represent CoreWeave at conferences and industry events, with occasional travel as required.

Who You Are:

• B.S. in Computer Science or a related technical discipline, or equivalent experience
• 7+ years of proven experience as a Solutions Architect, engineer, researcher or technical account manager in cloud infrastructure focusing on building distributed systems or HPC/cloud services, with an expertise focused on securing Kubernetes workloads
• Fluency in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions
• Proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences
• Familiar with NVIDIA GPUs typically used in AI/ML applications and associated technologies including networking
• Deep understanding of  administrating Kubernetes clusters  including controls such as RBAC, admission controllers, container security, etc.
• Proven experience describing security concepts clearly, along with best practices and an understanding of the security tooling landscape in Kubernetes environments 

Preferred:

• Code contributions to open-source inference frameworks
• Experience with scripting and automation related to securing Kubernetes environments 
• Experience with building solutions across multi-cloud environments
• Client or customer-facing publications/talks on latency, optimization, or advanced model-server architectures

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

• You love to help solve challenging technical problems
• You’re curious about the latest and greatest technologies in the AI space
• You’re an expert in managing conflict and achieving mutually beneficial technical outcomes

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! 

The base salary range for this role is £98,000 - £130,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What You’ll Do:

The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. 

About the role:

As a Solutions Architect at CoreWeave, you will play a vital and dynamic role. You will have the opportunity to demonstrate thought leadership and engage hands-on throughout our customers' entire lifecycle. From establishing their Kubernetes environment to developing proofs of concept, onboarding, and optimizing workloads, you will lead innovation at every turn. If you're driven by innovation, thrilled by the possibilities of what specialized compute can enable, and eager to be part of a team that's shaping the future, then CoreWeave is the place for you. Join us and let's embark on this adventure together!

In this role, you will:

• Serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings, focusing on storage technologies within high-performance compute (HPC) environments
• Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements.
• Lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments.
• Drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise.
• Act as a virtual member of CoreWeave's Storage product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions.
• Offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture.
• Conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions.
• Stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders.
• Lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption.
• Represent CoreWeave at conferences and industry events, with occasional travel as required.

Who You Are:

• B.S. in Computer Science or a related technical discipline, or equivalent experience
• 7+ years of proven experience as a Solutions Architect, engineer, researcher or technical account manager in cloud infrastructure focusing on building distributed systems or HPC/cloud services, with an expertise focused on storage solutions
• Fluency in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions
• Proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences
• Familiar with NVIDIA GPUs typically used in AI/ML applications and associated technologies including networking
• Deep understanding of storage/file system protocols and how to integrate them into infrastructure systems
• Proven experience describing storage concepts clearly, along with best practices and an understanding of the storage provider landscape

Preferred:

• Code contributions to open-source inference frameworks
• Experience with scripting and automation related to storage technologies
• Experience with building solutions across multi-cloud environments
• Client or customer-facing publications/talks on latency, optimization, or advanced model-server architectures

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

• You love to help solve challenging technical problems
• You’re curious about the latest and greatest technologies in the AI space
• You’re an expert in managing conflict and achieving mutually beneficial technical outcomes

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! 

The base salary range for this role is £98,000 - £130,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

What You’ll Do:

The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. 

About the role:

As a Solutions Architect at CoreWeave, you will play a vital and dynamic role. You will have the opportunity to demonstrate thought leadership and engage hands-on throughout our customers' entire lifecycle. From establishing their Kubernetes environment to developing proofs of concept, onboarding, and optimizing workloads, you will lead innovation at every turn. If you're driven by innovation, thrilled by the possibilities of what specialized compute can enable, and eager to be part of a team that's shaping the future, then CoreWeave is the place for you. Join us and let's embark on this adventure together!

In this role, you will:

• Serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings, focusing on AI/ML workloads within high-performance compute (HPC) environments
• Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements.
• Lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments.
• Drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise.
• Act as a virtual member of CoreWeave's Kubernetes product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions.
• Offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture.
• Conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions.
• Stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders.
• Lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption.
• Represent CoreWeave at conferences and industry events, with occasional travel as required.

Who You Are:

• B.S. in Computer Science or a related technical discipline, or equivalent experience
• 7+ years of proven experience as a Solutions Architect, engineer, researcher, or technical account manager in cloud infrastructure, focusing on building distributed systems or HPC/cloud services, with an expertise focused on AI/ML inference
• Fluency in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions
• Proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences
• Deep expertise  with NVIDIA GPUs typically used in AI/ML applications and associated technologies such as Infiniband and NVIDIA Collective Communications Library (NCCL) 
• Demonstrated experience with running large scale Artificial Intelligence/Machine Learning (AI/ML) training and inference workloads on technologies such as Slurm and Kubernetes. You understand integration points between cloud solutions and enterprise IT 

Preferred:

• Code contributions to open-source inference frameworks
• Experience with scripting and automation related to AI/ML workloads
• Experience with building solutions across multi-cloud environments
• Client or customer-facing publications/talks on latency, optimization, or advanced model-server architectures

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

• You love to help solve challenging technical problems
• You’re curious about the latest and greatest technologies in the AI space
• You’re an expert in managing conflict and achieving mutually beneficial technical outcomes

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! 

The base salary range for this role is £98,000 - £130,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

London | 💰Competitive Salary + Incentive Awards tied to your performance + Benefits  ✨

Our Executive & Board Hiring team⭐

Our Executive & Board Recruiting team helps find, engage and hire the next generation of leadership and board talent for Monzo globally. We are a small, dedicated team of leadership recruiting experts, based out of London but with a global reach. Monzo continues to grow and we are looking for an Executive Researcher to join the team.

Executive & Board Recruitment at Monzo

Monzo is known for its innovative marketing, and beloved products and services - and for the people behind them.

As part of our “People Collective” team, you're charged with finding the most interesting candidates who bring an entrepreneurial spirit, a sense of scrappiness and a diversity of thought to all they do. You're responsible for engaging executive and board candidates to our hiring process and connecting them to the magic of working at Monzo.

You are creative and driven, with an interpersonal savvy that allows you to develop lasting relationships with candidates, recruiters and hiring managers. You're also comfortable with numbers and drawing insights from analytics to make our hiring process smarter and more efficient. From generating pipelines to enriching the search process with market and talent insights, you are confident in a room with senior stakeholders advising on talent and market trends and taking ownership of candidate pipelines. It’s really important that you are adept at keeping an eye on market trends, bringing in-depth credible knowledge and research to every process. Organised and thoughtful in your approach, you will work across multiple collectives and so curiosity and an ability to learn quickly is key. You are data-led, always looking to iterate for process improvement and experienced at designing thorough and creative search strategies. By leveraging your knowledge of our clients' hiring needs and search requirements, you effectively match candidates with the roles in which they will be most successful.

The Executive & Board Recruitment team at Monzo is an exciting and focused group - supporting all hiring at ExCo and Board level, across all parts of the organisation. Our work is focused solely on the most critical leadership roles. You work closely with our Boards, ExCo, and other leaders across every function. 

To be part of this team takes a special person. We are trusted advisors to the leadership at Monzo with a deep understanding of the external talent landscape. With a strong perspective on the external talent landscape and deep insights into Monzo’s business priorities, you will develop search strategies and lead engagements to position Monzo for success today and well into the future.

At Monzo, our bar is high; your job is not to just find the most highly-skilled talent on the market, but also those that will work well in the incredibly unique and valuable Monzo culture. You have the drive, motivation and passion to disrupt the talent landscape and deliver incredible client and candidate experience. Most importantly, you will have the intellectual curiosity, problem solving capability and drive to build a qualified, representative leadership bench at Monzo.

🔑You’ll play a key role by...

As a Senior Executive Researcher on the Executive & Board Recruitment team at Monzo, you will act as a trusted adviser on finding and hiring leadership and board talent who will help build, and deliver our innovative products that make money work for everyone. We are seeking creative, analytical and resourceful individuals with a passion for research and developing relationships, and who have the ability to listen and understand the goals of candidates and our hiring teams. You will play the role of a senior talent scout, tapping into various tools and resources to uncover the best talent in the market and matching them with the roles to which they are best aligned.

• Leading the design of Monzo’s executive sourcing framework — setting standards for research, mapping, and candidate engagement.
• Partnering with Executive Recruiters on live searches, co-owning the sourcing and research strategy, and ensuring smooth collaboration.
• Designing and embedding a framework for recruiter-sourcer partnership (e.g., role kick-offs, milestone check-ins, stakeholder touchpoints, feedback loops).
• Building succession pipelines for C-suite and board roles, prioritising where you spend your time for impact.
• Creating and maintaining in-depth market maps of leadership talent in market, and adjacent industries.
• Acting as a trusted research advisor to recruiters and senior stakeholders, bringing deep market insights and competitive intelligence.
• Championing diversity and inclusion by ensuring all pipelines and market maps reflect Monzo’s values and DE&I goals.
• Building and maintaining long-term relationships with senior leadership talent for both immediate and future opportunities.
• Contributing to projects that establish Monzo as a benchmark for executive and board hiring excellence.
• Innovate to improve the efficiency and effectiveness of our systems and processes - not just incremental improvements, but also “moon shots” that fundamentally change how we approach executive search at Monzo.

🤩 We’d love to hear from you if…

• You have significant experience sourcing and researching at the executive or board level, either in-house or in a top-tier executive search firm.
• You’ve led or built sourcing/research frameworks and want to apply that expertise to continue to shape an inhouse function.
• You’ve been involved in succession planning or proactive pipeline building for senior leadership roles.
• You have a track record of partnering effectively with executive recruiters, and ideally have experience shaping recruiter-researcher ways of working. You are a collaborative team player, with a track record of maximizing team as well as individual performance.
• You’re as comfortable designing strategy as you are executing the research behind it. You are highly experienced in creating search strategies, mapping markets, gleaning industry insights and being a champion of process and data quality.
• You bring credibility, discretion, and gravitas when partnering with senior stakeholders, bringing a high level of personal accountability, integrity and authenticity in everything you do. 
• You care deeply about diversity, inclusiveness, and delivering an exceptional candidate experience.
• You’ve worked in-house in a high-growth business and/or have exposure to financial services or technology industries, with ideally a passion for Fintech.
• Learning agility to get up to speed quickly on new markets and to run a thorough, best-in-class search process, including candidate research, outreach, engagement, and evaluation.

Personal Profile:

• You are passionate about Monzo’s mission of making money work for everyone.
• You have an entrepreneurial mindset, not afraid to challenge the status quo.
• You have the capability to think long-term and help shape our executive & board research strategy in line with global expansion objectives.
• You’re analytical, data-driven and thrive solving complex problems.
• You will have exceptional skill in articulating a search strategy and communicating market and candidate insights to a wide range of audiences and stakeholders. 
• You thrive with a high level of autonomy and responsibility.
• Demonstrated ability to creatively develop diverse pipelines, promoting an inclusive work environment.

🙌 What’s in it for you

💰 Competitive salary range ➕Incentive Awards tied to your performance.

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. 

📚 £1,000 learning budget each year to use on books, training courses and conferences.

🏡 We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. 

➕ Plus lots more! Read our full list of benefits.

🌈 The application journey has 3 key steps

• Recruiter Call
• Initial Call with Hiring Manager
• Two Loop stage interviews

This process should take around 2-3 weeks - your schedule is really important to us, so we promise to be as flexible as possible! 

We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here.

#LI-DH1 

About Us:

Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser.

Overview:
We are seeking a Quantitative Researcher to develop and deploy alpha-generating strategies within our equities business. This role is focused on identifying, testing, and scaling systematic signals in a fast-paced proprietary trading environment. The ideal candidate has a demonstrated track record of generating alpha in equities and thrives in an environment that values ownership, speed, and performance

Responsibilities:

• Research, develop, and implement systematic trading strategies across equities
• Generate and validate alpha signals using large, complex datasets
• Create predictive models utilizing financial data through statistical analysis methods
• Work closely with trading and engineering teams to deploy and optimize strategies in production
• Continuously refine models based on market behavior and performance feedback
• Explore new datasets, features, and methodologies to improve signal quality
• Create robust solutions to problems presented in the trading environment
• Develop research strategies into production software

Requirements:

• A degree in a technical discipline with a focus on statistics, machine learning, or computer science
• Experience working within proprietary trading environments, specifically equities product experience 
• Demonstrated ability to generate and deploy alpha in equities markets
• Strong programming skills in Python
• Significant hands-on experience applying algorithms to real-world situations
• Strong problem-solving and statistics skills
• The ability to proactively take the lead on assignments and deliver practical research results in a timely manner

DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV’s posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

The Machine Learning Researcher will have a deep understanding of the principles behind modern ML algorithms — including recent advances such as transformer-based architectures and other state-of-the-art frameworks — and the ability to turn that knowledge into high-impact, production-ready solutions.

The role involves applying advanced ML techniques to a wide range of forecasting challenges, building scalable ML pipelines, and deploying them in production, while working with high-dimensional, noisy, structured and unstructured datasets. Experience applying ML models in financial markets is desirable, but exceptional candidates with a strong ML background from tech, startups, or academia will also be considered.

Responsibilities

• Research, design, and deploy robust ML models.
• Build and maintain scalable, production-level ML pipelines.
• Extract signals from large, noisy, real-world datasets.

Qualifications

• PhD (or exceptional MSc) in ML, Computer Science, or related field.
• Deep theoretical and practical knowledge of core ML algorithms, and comfortable experimenting with model architectures, feature engineering, and hyperparameter tuning to produce high-performance and resilient models.
• Proven experience taking ML models from research to live production.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

[#LI-AC] 

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

DRW are looking for an experienced Quant Researcher to join our global commodities trading team to aid in alpha generation, research, development, and maintenance of analytics infrastructure.

Responsibilities:

• Developing systematic trading strategies and alpha generating signals across commodity markets
• Enhancing data collection procedures to support improved design, development and maintenance of data pipelines to be used in research/trading
• Analyze large, diverse datasets to identify trends as well as building and maintaining models to support trading decisions. Including the use of AI and LLM’s
• Extract and organize data from a number of source options, performing quantitative analysis in support of trading
• Assist in the development of analytical tools
• Translate business needs into data science projects
• Collaborate with stakeholders at each stage of project
• Communicate projects and results to audiences with different backgrounds
• Create and maintain post-trade diagnostics tools across various strategies

Qualifications:

• A bachelor’s, master’s, or PhD in mathematics, statistics, physics, engineering, computer science or related field
• Experience using AI and LLM’s
• Passion and interest for a quant researcher role solving real-world business problems
• Minimum of two years' experience in alpha generating role
• Experience working with large datasets, data cleaning, preprocessing, and feature engineering
• Experience building, validating, deploying, monitoring, and updating predictive models
• Excellent programming and scripting skills
• Experience working independently and delivering results
• Excellent written and oral communication skills, experience communicating complex ideas clearly and concisely to peers and stakeholders
• Strong collaborative intent, strong outcome driven focus
• Positive, team focused attitude

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

#JW1

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

We are seeking a Quantitative Researcher to work on alpha generation, model development, and the full research pipeline for mid-frequency equity statistical arbitrage strategies. The position will collaborate closely with the Portfolio Manager and other team members, contributing across all stages — from data processing and feature engineering to backtesting and live deployment.

Key Responsibilities

• Research, design, and implement predictive signals and features across global equities.
• Work with large, diverse datasets; develop robust feature engineering and point in time (PIT) data cleaning pipelines.
• Collaborate with team members to implement research infrastructure, backtesting frameworks, and analytical tools.
• Build frameworks and tools for performance attribution and ongoing live strategy monitoring.

Requirements

• 2–8 years of experience in quant equities, with a primary focus on alpha research.
• Familiarity with both standard and alternative datasets used in equity stat arb strategies, including data cleansing, ticker mapping, point-in-time (PIT) handling, and other dataset idiosyncrasies.
• Strong programming skills in Python; experience with SQL and distributed data environments.
• Advanced degree (PhD/MSc) in Mathematics, Physics, Statistics, Computer Science, or related quantitative discipline.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

[#LI-AC] 

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

We are seeking a Quantitative AI Strategist to join our quantitative analytics team. This is a front-office role at the intersection of quantitative finance, AI, and product development — focused on building and evolving the firm’s AI-powered research and analytics platform.

The platform helps traders, researchers, analysts, and risk managers move from questions to actionable insight by unifying analytics, data, and research. Your job is to make it indispensable — by working directly with trading desks to understand their workflows, building the quantitative and AI capabilities they need to generate better ideas and make better decisions, and partnering with software engineers to deliver them at production quality.

You will have broad exposure across asset classes, desks, and problem types — from signal generation and backtesting to risk analysis and research analytics — while working at the frontier of applying AI to quantitative finance. The ultimate goal is to help the firm generate more revenue through AI-assisted trading and research.

The ideal candidate will be able to:

• Work directly with trading desks across asset classes and other stakeholders across the firm to identify high-value use cases for the platform.
• Determine the right balance between AI autonomy and structured tooling — deciding what the AI should reason through on its own, what instructions and domain knowledge it needs, and what purpose-built code it should call — and build accordingly.
• Work with front-office stakeholders to turn desk needs into well-defined quantitative problems/workflows, and collaborate with technology teams and quantitative researchers to deliver solutions.

Key Responsibilities:

• Prototype and validate quantitative workflows end-to-end — from data retrieval and signal construction through to strategy evaluation, PnL simulation, testing, and risk/scenario analysis — while defining how the AI should interact with data sources, analytics libraries, desk-specific tools, etc., and work with engineers to deliver them as production platform capabilities.
• Write high-quality platform code and quantitative libraries — including code designed to be called and understood by AI, with clear interfaces, documentation, and instructions to AI.
• Enhance the platform’s ability to reason about markets, interpret financial data, and produce reliable, contextually aware analysis across products and markets.
• Continuously evaluate how the platform is used, identify where it excels and where it falls short, and drive improvements that deliver measurable value to trading and research workflows.
• Engage with stakeholders across the firm — trading desks, risk management, researchers, new joiners, and others — to discover emerging use cases and adapt the platform’s capabilities accordingly.
• Proactively identify new use cases and capabilities as AI technology evolves.
• Act as the first line of quantitative support for platform users — diagnosing issues, feeding insights back into platform development, and ensuring a high-quality user experience.

Qualification and Experience:

• Background in quantitative finance, financial engineering, applied mathematics, statistics, physics, computer science, or a related technical field.
• 3–7 years’ experience in a front-office quant, strategist, or quantitative research role, ideally with exposure to multiple asset classes.
• Solid understanding of financial markets, pricing/risk methodologies, and PnL attribution.
• Experience building or contributing to internal analytics platforms or tools used by traders and researchers.
• Experience with signal generation, backtesting, or systematic strategy development.
• Strong programming skills in Python. Familiarity with Git and collaborative development workflows.
• Familiarity with AI technologies and their application to quantitative workflows is a strong plus.
• Experience building AI agents is a strong plus.
• Excellent communication skills — able to engage directly with trading desks to understand their needs, formalize them into quantitative specifications, and collaborate effectively with software engineers.
• Strong problem-solving ability, intellectual curiosity, and comfort working across team boundaries in a fast-paced trading environment.
• Strong ability to quickly learn and adapt to new technologies — particularly important given the rapid pace of development in AI.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

[#LI-SK1] 

ABOUT WORLDQUANT BRAIN

worldquantbrain.com

BRAIN is a group within WorldQuant similar to a traditional B2C fintech setup. Our mission is to simplify quant finance and provide global remote-work opportunities to participants, while they learn quant finance, AI and ML concepts. WorldQuant Brain provides an advanced crowdsourcing platform for external participants to contribute signals, data and more to the firm.

THE ROLE:

WorldQuant is seeking Researchers to join the BRAIN team. BRAIN is WorldQuant’s crowdsourcing initiative that allows anyone in the world with the right skills to become a Quant.

Research

• Create and develop Alphas and other utilization algorithms on BRAIN
• Conduct research on academic quantitative finance literature
• Identify and design new research domains. Generate ideas to grow the domain

Platform development

• Analyze current functionalities available to researchers, identify any issues with the platform and provide solutions and recommendations to the BRAIN team
• Design and test new functionalities and datasets on the BRAIN platform.

Business Development and Consultant Engagement

• Work with BRAIN Strategy and Operations country heads and other Business Development partners to enhance & implement BRAIN business strategy for user and consultant acquisition
• Conduct training sessions for BRAIN users and consultants
• Prepare and update training curriculum of BRAIN

WHAT YOU’LL BRING:

• Familiarity and competence in using BRAIN. Applicants expected to have Consultant status on the BRAIN Platform - worldquantbrain.com
• Possess or expect a Bachelor’s degree or advanced degree in engineering, science, mathematics, finance or any other related field that is highly analytical and quantitative from a leading university
• Demonstrated programming experience in one of the following (Java/C++/C/Python/MySQL/SQL Server); knowledge of UNIX preferred
• Possess a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges
• Have a strong interest in learning about worldwide financial markets
• Possess good communication and presentation skills in English

Position based in London. Visit https://www.worldquant.com/brain/ for more information about WorldQuant Brain.

Technologists at WorldQuant research, design, code, test and deploy projects while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role: WorldQuant is seeking an exceptional candidate to join the firm as a Quantitative Developer. The right candidate will be able to use their development and practical thinking skills to slice through complicated challenges to find the most clear and effective solutions. Quant Developers will design, code and implement proprietary systems and tools to help bring research ideas to life, and have a real business impact. You will collaborate with Quant Researchers and PMs, data scientists, mathematicians and computer scientists to gather, analyze and spec out requirements, develop and test code, and manage deliverables. A successful candidate will have a track record of solving problems, be comfortable thinking outside the box, and bring cross-disciplinary solutions into play
  
What You’ll Bring:

• 5+ years of experience in a high‑impact, production environment as a software engineer
• Strong computer science fundamentals - data structures, algorithms, OOP, threading, multiprocessing, etc.
• Clean and Concise coding style
• Solid experience with Python
• Experience working in Linux environment
• Experience building distributed or data intensive systems is a big plus
• Demonstrated problem solving abilities, insight, and judgment as well as a strong attention to detail
• Strong communication skills; ability to express complex concepts in simple terms, especially to non-experts
• Interest and experience in LLM, agentic systems is a plus, but not essential

#LI-DN1