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.

The global Infrastructure team designs, builds, and operates QRT’s high-performance compute and research environments. The team focuses on automation, scalability, and reliability across datacentres and research platforms, working closely with engineering, storage, and research groups worldwide.

Your Future Role within QRT
You will help automate all aspects of a growing, cutting-edge datacentre and research platform. You will build tooling, pipelines, and guardrails that turn network intent into safe, repeatable outcomes for QRT’s high-performance on-premise datacentre.

• Design and evolve the network automation framework (source of truth, templating, validation, change control).
• Build idempotent automation to provision and operate data centre fabrics at scale.
• Integrate with vendor APIs and SDKs (e.g. Arista EOS, NetQ etc.)
• Capture network intent as code, ensuring peer reviews and quality gates.
• Instrument the network with telemetry, alerting, and SLOs to drive automated remediation.
• Adhere to NetDevOps practices and share knowledge across the team.
• Collaborate with network and platform engineers to translate designs into automated workflows.
• Deliver frequent, incremental improvements through safe, tested changes.
• Monitor vendor and industry developments and propose practical adoption paths.

Your Present Skillset

• Advanced Python development for production-grade tools and services.
• Go (preferred) for performant tooling.
• Strong Ansible experience (roles, collections, YAML/JSON data models).
• Git proficiency including branching, pull requests, and semantic versioning.
• Observability fundamentals (Prometheus, Grafana, logging and tracing).
• Source of truth/CMDB systems (NetBox, Nautobot etc.).
• Linux networking (iptables, DHCP, DNS) and strong Bash scripting.
• Workflow orchestration (Temporal or equivalent).
• Network validation and testing tools (pyATS, NAPALM etc.).
• Containers and orchestration (Docker, Kubernetes).
• Secure secrets and configuration management (Vault, PKI best practices).
• Experience with data centre fabrics, QoS, and high-performance networking 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.

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.

Your future role within QRT:

You will join a cross-functional team that supports the business across a wide range of activities, including:

• Providing trading support: analysing and reporting PnL and positions, managing corporate actions, resolving booking issues
• Modelling and analysing performance drivers at the strategy level
• Producing daily dashboards and reports for management
• Performing NAV system gap analyses
• Conducting ad-hoc investigations and deep-dives
• Maintaining and enhancing internal reporting tools
• Working closely with traders, quantitative researchers, operations, risk teams, and IT

Your present skillset:

• An advanced degree in business or engineering, ideally with a focus on finance
• Relevant experience is appreciated but not mandatory
• Strong programming skills in at least one language (VBA, Python, or SQL)
• Advanced proficiency with Microsoft Office
• Ability to adapt, prioritise, and stay detail-oriented in a fast-moving environment
• Solid analytical and organisational skills
• Clear written and verbal communication
• A collaborative mindset

Your enhanced experience and learning opportunities at QRT:

• Mentorship from experienced industry professionals
• Hands-on exposure to low-latency trading systems (software and hardware)
• Experience working with large-scale data technologies
• Insight into a highly collaborative and supportive 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.

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. We thrive at the intersection of cutting-edge technology, smart automation, and scalable processes, enabling us to move fast, think big, and deliver at scale.    

 Your future role at QRT    

• Take ownership of the maintenance and reliability of live trading systems, ensuring robustness, stability, and real-time monitoring. 

• Develop and maintain production-ready Python systems supporting trading, risk, analytics, and reporting, with a focus on writing clean and scalable code that enables fast iteration in live environments. 

• Build, improve, and automate performance and risk reporting frameworks, with strict attention to data integrity and accuracy. 

• Monitor live strategies and exposures intraday, proactively identifying anomalies or inconsistencies. 

• Contribute to research implementation and backtesting pipelines with high coding standards. 

• Operate across multiple tasks, prioritising effectively in a fast-paced trading environment without compromising accuracy or attention to detail. 

Your present skillset    

• Pursuing an advanced degree in a quantitative field such as data science, statistics, mathematics, physics, or engineering    

• Advanced coding skills required in Python, and an ability to write clean, modular, efficient, and production-ready code. 

• Strong understanding of software engineering best practices: version control (Git), testing, debugging and logging. 

• Proven ability to multitask under pressure in a real-time trading environment. 

• Exceptional attention to detail and strong operational discipline. 

• Fluent in English, any other language is a plus 

• Prior experience supporting automated trading systems and/or exposure to derivatives, macro or rates market is a plus. 

Interviewing:    

• Apply online: applications are evaluated on a rolling basis by a member of our Talent Acquisition team. This is a great opportunity to stand out, as we read every application carefully and look for specific, thoughtful answers that reflect your genuine interests.  

• Interviews conducted on-site or through Teams allow us to evaluate your technical abilities and how well you align with our company culture.    

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 

Programme duration: from 5 to 6 months, starting in 2026.   

Who qualifies: Penultimate or final year students completing a Bachelor's, Master's.

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. We thrive at the intersection of cutting-edge technology, smart automation, and scalable processes, enabling us to move fast, think big, and deliver at scale.   

We are committed to identifying and developing exceptional talent, and are inviting a new cohort of outstanding individuals to join us in the year ahead. Our internship offers a stimulating, intellectually rigorous, and high-performance environment, where collaboration is key to success. You will work alongside and be mentored by industry-leading professionals, gaining invaluable experience and positioning yourself for the opportunity to secure a full-time graduate role upon successful completion of the program. 

Your future role at QRT  

Throughout the recruitment process, we will work to align your skills, interests, and potential with the teams where you can make the greatest impact. As part of QRT’s data teams, you will work at the heart of our research and trading operations - designing, building, and managing the data solutions that underpin our strategies. You will collaborate closely with Traders, Researchers, and Engineers to ensure our data infrastructure is robust, scalable, and able to power cutting-edge quantitative research. Your work will involve tackling complex challenges in data acquisition, engineering, and platform design. 

Examples of potential roles and projects include: 

• Quantitative Data Analyst 

Source, design, and onboard new datasets in line with priorities set by trading desks. Support data integration into trading systems, propose data-driven solutions to unlock new research opportunities, and manage the full lifecycle of data sourcing projects, from acquisition and exploration to design. Collaborate with Data Engineers to bring datasets into production at scale. 

• Data Engineer 

Manage extensive datasets across QRT’s research and trading platforms. Design and implement data stores and APIs, monitor the health and performance of data processes, and deliver production-ready datasets. Provide direct support to Researchers and Traders to ensure they can fully leverage the capabilities of our data platform. 

• Data Platform Engineer 

Build and maintain the large-scale data infrastructure that powers our research environment. Focus on the ingestion, processing, and serving of data for both real-time and batch workflows, ensuring the platform operates with low latency and high availability. Continuously monitor and optimize system performance to handle growing volumes of complex datasets efficiently. 

Your present skillset  

• Strong core computer science foundations, including algorithms, data structures, parallel programming, and object-oriented programming (OOP). 

• Genuine interest in software engineering, infrastructure, or data engineering within a low-latency environment, working in Python.

• Interest to build expertise in high-performance, real-time trading systems 

• Excellent communication and analytical skills - you will interact directly with Traders and Researchers  

• Drive for rapid autonomy and the ability to work in a fast-paced, high-performance setting. 

• Rigorous and structured approach to problem-solving. 

Preferred qualifications (a plus): 

• Knowledge of databases such as SQL or NoSQL. 

• Experience in front-end development. 

• Interest in financial markets and/or algorithmic trading. 

Interview Process: 

• Application - Submit your application online. We review applications on a rolling basis, so we recommend applying early to maximize your chances. 

• Technical Assessment - Selected candidates will be invited to complete a coding challenge designed to evaluate core technical and problem-solving skills. 

• Interviews - Shortlisted applicants will proceed to interviews, conducted either on-site or via Microsoft Teams. These will assess both your technical expertise and your alignment with our culture and values. 

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.  

Programme duration: 6 months, starting in 2026.   

Who qualifies: Final year students completing a Bachelor's, Master's.

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. We thrive at the intersection of cutting-edge technology, smart automation, and scalable processes, enabling us to move fast, think big, and deliver at scale.   

We are committed to identifying and developing exceptional talent, and are inviting a new cohort of outstanding individuals to join us in the year ahead. Our internship offers a stimulating, intellectually rigorous, and high-performance environment, where collaboration is key to success. You will work alongside and be mentored by industry-leading professionals, gaining invaluable experience and positioning yourself for the opportunity to secure a full-time graduate role upon successful completion of the program. 

Your future role at QRT  

As a Machine Learning Engineer at QRT, you will contribute to building the systems used to evaluate and compare LLMs across a range of tasks and datasets. Design evaluation pipelines, define scoring methodologies, and develop the services that run, track, and reproduce experiments at scale. Integrate new models into a unified framework and optimize evaluation workflows for performance and reliability.

Your present skillset  

• Strong Python skills, with experience building reliable and maintainable systems.

• Solid software engineering fundamentals, including APIs, testing, and modular design.

• Experience working with data pipelines and experimentation workflows.

• Excellent communication skills - you will interact directly with Traders and Researchers.  

• Strong analytical and problem-solving skills, with a structured approach to ambiguous problems.

• Interest in large language models (LLMs), machine learning systems, and evaluation methodologies.

Preferred qualifications (a plus): 

• Experience with LLM tooling or frameworks (e.g. Hugging Face, OpenAI APIs, vLLM, or similar).

• Familiarity with evaluation or benchmarking frameworks (e.g. lm-eval, HELM, or custom evaluation pipelines).

• Exposure to distributed systems, parallel computing, or GPU-based workloads.
• Experience with experiment tracking tools (e.g. MLflow, Weights & Biases) or similar systems.
• Interest in model evaluation, robustness, and real-world performance of machine learning systems.

Interview Process 

•  Application - Submit your application online. We review applications on a rolling basis, so we recommend applying early to maximize your chances. 

• Technical Assessment - Selected candidates will be invited to complete a coding challenge designed to evaluate core technical and problem-solving skills. 

• Interviews - Shortlisted applicants will proceed to interviews, conducted either on-site or via Microsoft Teams. These will assess both your technical expertise and your alignment with our culture and values. 

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.  

Programme duration: From 4-6 months, starting in 2026. Most individuals join in April, May, or June of each year.    

Who qualifies: Penultimate or final year students completing a Bachelor's or a Master's degree. 

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. We thrive at the intersection of cutting-edge technology, smart automation, and scalable processes, enabling us to move fast, think big, and deliver at scale.   

We are committed to identifying and developing exceptional talent, and are inviting a new cohort of outstanding individuals to join us in the year ahead. Our internship offers a stimulating, intellectually rigorous, and high-performance environment, where collaboration is key to success. You will work alongside and be mentored by industry-leading professionals, gaining invaluable experience and positioning yourself for the opportunity to secure a full-time graduate role upon successful completion of the program. 

 Your future role at QRT   

Throughout the recruitment process, we will work to align your skills, interests, and potential with the teams where you can make the greatest impact. 

As a Quantitative Research Intern, you could contribute in one of two complementary areas within one of QRT's systematic teams - spanning high, mid, and low-frequencies: 

Research 

Your core objective will be to develop high-quality predictive signals. You will leverage access to vast and diverse datasets to identify hidden statistical patterns and market opportunities. Collaborating with fellow researchers to exchange ideas and refine methodologies. You will be trained to lead the full research cycle - from idea generation to implementation.   

Trading 

You will contribute to the live deployment of QRT’s research by working on the systematic trading platform itself. This involves monitoring signal behaviour, tracking performance, and improving execution efficiency, while also helping to identify and manage potential risks. Working closely with senior Researchers and Traders, you will focus on refining and scaling systematic processes, applying your quantitative and programming skills to ensure strategies perform optimally in production. 

We’re looking for interns who are curious, creative, and collaborative. If you’re passionate about learning, excited to take on challenges, and ready to make a real impact, you’ll find plenty of opportunities to grow with us. 

Your present skillset   

• Pursuing an advanced degree in a quantitative field such as data science, statistics, mathematics, physics, or engineering   

• High level of technical knowledge in statistics, machine learning, NLP or AI techniques is a plus   

• Coding skills required in at least one leading programming language (Python and C++ or C#)  

• Experience in exploring large datasets across multiple time frames is a plus  

• Capacity to multi-task in a fast-paced environment while keeping strong attention to detail   

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

• Excellent communication skills  

• Fluent in English, any other language is a plus  

Interviewing:   

• Apply online: applications are evaluated on a rolling basis by a member of our Talent Acquisition team. This is a great opportunity to stand out, as we read every application carefully and look for specific, thoughtful answers that reflect your genuine interests. 

• Interviews conducted on-site or through Teams allow us to evaluate your technical abilities and how well you align with our company culture.   

We encourage you to take part in one of our Data Challenges, which offer a valuable opportunity to engage with the types of problems encountered in the Quantitative Research role while showcasing your analytical and technical skills. Strong performance may lead to direct follow-up from our team, making it an excellent way to gain early visibility in the recruitment process: 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 an Academic Partnerships & Research Lead in London, Paris or Hong Kong, working at the interface between academia and industry. QRT Academy connects leading research communities and talent with QRT through academic collaborations and research engagement initiatives. In this role, you will lead the development of QRT’s academic collaborations, working directly with leading institutions and research groups globally to shape and contribute to research projects and collaboration opportunities.

Your future role at QRT:

• Lead the design and delivery of engagement programmes with academic partner institutions, including research collaborations, visiting practitioner initiatives, and student programmes
• Collaborate directly with academic partners on research projects, including contributing to research direction, publications, and conference engagement
• Build and develop long-term partnerships with leading academics, departments, and research groups across priority institutions
• Act as a primary point of contact for partner institutions, collaborating closely with academics and researchers to shape collaboration opportunities
• Identify and engage high-potential students and early-career researchers through academic programmes and networks
• Develop and scale the model for academic partnerships across institutions and regions
• Ensure alignment between academic engagement activities and broader research and talent objectives
• Work closely with internal teams to connect academic collaborations with QRT’s research priorities
• Partner with the operations function to support effective delivery of programmes, maintaining focus on academic content and relationships

Your present skillset:

• PhD in a quantitative discipline (mathematics, statistics, computer science, engineering or related field) with a strong research background
• Experience managing or contributing to academic collaborations, research programmes, or university partnerships
• Strong stakeholder management skills, with the ability to engage effectively with senior academics and researchers
• Strong understanding of how leading research institutions structure external collaborations
• Ability to shape and manage complex academic partnerships across institutions and regions
• Strong organisational and problem-solving skills, with the ability to operate in evolving or ambiguous environments
• Experience working in globally distributed or research-intensive environments is advantageous
• Strong engagement with research and the academic ecosystem

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 across all liquid asset classes worldwide. We are a technology and data-driven organization applying a scientific approach to investing. The combination of data, research, technology, and trading expertise shapes our collaborative mindset and enables us to solve complex challenges. Our culture of innovation continuously drives our ambition to deliver high-quality returns for our investors.

You will join the Cloud Security function, working closely with Infrastructure Engineering, Platform, DevOps, and Risk teams to design and deliver strategic security enhancements across our AWS environment. This is a highly engineering-focused role, driving forward-looking cloud security initiatives including architectural improvements, automation, control uplift, and continuous maturity enhancement. You will operate in a high-performance, technology-driven investment environment where scalable, secure, and automated cloud infrastructure is critical to business success.

Your future role within QRT:

• Design and implement secure AWS architectures aligned with security best practices and internal control frameworks.
• Engineer and enhance IAM frameworks, including permission boundaries and least-privilege access models.
• Develop and maintain Service Control Policies (SCPs) and account-level governance guardrails.
• Build and automate security baselines across AWS environments.
• Design and implement infrastructure security controls using Infrastructure as Code (Terraform or CloudFormation).
• Engineer scalable encryption and key management solutions leveraging AWS KMS.
• Drive automation of security controls, compliance validation, and remediation workflows.
• Partner with DevOps and Platform teams to embed security into CI/CD pipelines and infrastructure design.
• Lead technical security uplift initiatives across CSPM, CWNP, and broader cloud security domains.
• Contribute to long-term cloud security strategy and architectural roadmaps.

Your present skillset:

• Minimum 5 years of industry experience in cloud security, infrastructure security, or related engineering roles.
• Strong hands-on experience engineering security solutions in AWS environments.
• Deep knowledge of IAM, SCPs, account governance, and AWS organizational design.
• Proven experience designing secure cloud architectures in complex, large-scale environments.
• Expertise with Infrastructure as Code tools such as Terraform or CloudFormation.
• Experience implementing and maintaining industry-standard CSPM solutions.
• Strong understanding of encryption, key management, and cloud data protection principles.
• Ability to build automation frameworks using Python or similar scripting languages.
• Experience operating in security-sensitive or regulated environments.
• Strong analytical skills with the ability to translate security requirements into scalable engineering solutions.
• Collaborative mindset with the ability to work cross-functionally in a fast-paced, high-performance environment.

QRT is an equal opportunity employer. We view diversity as essential to our success and foster an open, respectful environment where collaboration drives collective achievement. Alongside professional growth, we provide initiatives that support a healthy and sustainable 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

• Your core objective is to manage the multiple and extensive dataset used in the QRT research and trading platform
• Contributing to design and implementing QRT data store and its API
• Monitoring fetching processes and data health
• Integrating alternative datasets
• Supporting users (Quants & Traders)

Your present skillset

• 2+ years’ experience in a related field
• Advanced English, both written and verbal communication skills
• Knowledge of Python and Code Quality Theories 
• Ability to communicate and understand user needs
• Structured and unstructured data management expertise is a plus
• Knowledge of the financial data of equity/derivatives is a plus
• Intellectual curiosity to learn new technologies
• Capacity to work with autonomy within a global 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 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 operate one of the most demanding data infrastructures in finance, supporting mission-critical distributed systems across multiple database and streaming platforms, with strict requirements around availability and performance. Our environment spans both on-prem infrastructure and AWS, with a strong focus on standardization, automation, and Kubernetes-based orchestration.

We are looking for an experienced Data Platform Engineer to join our DevOps team in Paris. This role is fully on-site, with a strong focus on ensuring the reliability and scalability of our production data infrastructure.

Your future role within QRT:

This role sits at the intersection of data engineering and infrastructure engineering, focused on building reliable, scalable, and high-performance data platforms.

Your responsibilities will include:

• Ensuring reliability and performance of production data systems (ClickHouse, CockroachDB, Trino, etc.)
• Designing and operating database clusters on Kubernetes (via operators)
• Building and maintaining data pipelines (ingestion, transformation, replication)
• Driving Infrastructure-as-Code practices (Terraform, Helm)
• Operating storage and data platforms across on-prem (VAST) and AWS (S3, EMR, MSK, RDS, EKS)
• Managing Docker images and CI/CD workflows for data services
• Defining and maintaining AWS IAM policies and permissions
• Troubleshooting across the stack (databases, OS, storage, networking)
• Implementing observability (metrics, alerting, capacity planning)
• Collaborating with engineering, data, and research teams

Your present skillset:

• 5+ years in DevOps, Data Platform Engineering, or similar
• Experience with distributed data systems in production (e.g. ClickHouse, Trino, EMR)
• Strong Kubernetes experience (stateful workloads, Helm, operators)
• Solid Infrastructure-as-Code experience (Terraform, Helm, etc.)
• Good knowledge of AWS data ecosystem (S3, EKS, EMR, MSK, RDS)
• Strong understanding of AWS IAM and security best practices
• Hands-on experience with Docker and CI/CD pipelines
• Experience with data pipelines (Kafka, Spark, Airflow, etc.)
• Strong Linux fundamentals and scripting (Python and/or Bash)
• Understanding of database reliability (replication, backups, failover)

Nice to have:

• OLAP / high-throughput systems experience
• Experience with VAST Data or similar storage systems
• Familiarity with Iceberg, Delta Lake or Hudi
• Observability tools (Prometheus, Grafana, OpenTelemetry)
• GitOps tools (ArgoCD, Flux)
• CKA or strong Kubernetes expertise
• Programming in Go, Rust, or Python
• Knowledge of Parquet/Arrow and query engines
• AWS certifications

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.

We are looking for an exceptional Data Scientist to join the Data Search & Analytics team. In this role, you will work directly with the Research and Trading desks to improve their productivity and efficiency.  

Your future role within QRT  

This team is integral to the firm’s success. As such, your responsibilities will include:  

• Sourcing, designing and onboarding new datasets according to trading desks’ priorities  
• Becoming an expert on QRT’s internal tools to help the relevant desks efficiently, using data in production of trading systems  
• Proactively solving data related problems in order to minimise time to production  
• Managing the full lifecycle of data sourcing projects, which includes data acquisition/exploration/engineering, prototyping and production  

Your present skillset  

• 3+ years of experience as a Data Scientist (or similar position); experience in a buy-side quantitative finance role is advantageous
• Postgraduate degree in a quantitative discipline such as Mathematics, Physics or Engineering.
• Advanced programming experience in Python, including proficiency with data handling libraries such as Pandas and NumPy
• Demonstratable interest in financial markets and the application of data in its analysis and understanding
• Experience working with both traditional and alternative financial datasets
• Excellent communication skills, with the ability to effectively collaborate with all stakeholders, including researchers, traders, engineers, management, and external vendors
• Ability to work in a high-performance, high-velocity 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.

Your Future Role within QRT:

As a DevOps Engineer, you will be responsible for designing, building and maintaining scalable and efficient infrastructure for our research and trading systems. You will collaborate closely with our developers and quant researchers to ensure seamless deployment and data flow while improving automation across our environments.

Your responsibilities will include:

• Designing, implementing and maintaining CI/CD pipelines for automated deployment and testing.
• Managing and optimizing AWS cloud infrastructure, with a focus on EKS for container orchestration.
• Building and maintaining data pipelines to support real-time and batch processing needs.
• Ensuring system reliability, monitoring and performance optimization.
• Implementing security best practices across infrastructure and deployments.
• Collaborating with development teams to improve automation and system integration.
• Working closely with teams across QRT’s global offices, including in Europe, London, Hong Kong, Singapore, Dubai and other locations, to ensure seamless collaboration on infrastructure and deployment initiatives.

Your Present Skillset:

• Strong experience in DevOps & automation, with a focus on cloud and containerized environments.
• Expertise in AWS, including services like EC2, S3, RDS, Lambda and EKS.
• Hands-on experience with Kubernetes for deploying and managing workloads.
• Proficiency in CI/CD tools such as GitLab CI, ArgoCD, Flux CD or similar.
• Experience with data pipelines and ETL workflows, including tools like Airflow, Kafka or AWS StepFunction.
• Infrastructure as Code (IaC) experience using Terraform
• Strong scripting abilities in Bash, Python or similar languages.
• Monitoring & logging tools such as Prometheus, Grafana or AWS CloudWatch.
• A problem-solving mindset and ability to work in a fast-paced environment.
• A collaborative approach, working closely with developers, quants and IT teams.
• Strong communication skills in English (French is a plus but not required).
• A passion for automation, efficiency and continuous improvement.

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.

You will work on the HPC Research Platform, building and evolving an in-house research platform that provides efficient, secure access to compute and data for research teams across the organisation. The focus is on enabling the execution of large-scale compute pipelines by developing the services and tools that underpin job submission, scheduling, security, and observability across a range of environments. You will collaborate closely with Quantitative Researchers as well as engineering and infrastructure stakeholders to deliver a platform that supports computational research at scale.

Your Future Role Within QRT 

• Collaborate closely with quantitative researchers, platform engineers, and other cross-functional teams to understand research workflows and translate them into scalable, reliable platform capabilities 

• Design, build, and maintain distributed services and APIs that manage compute workloads, data access, and execution lifecycles across HPC environments 

• Improve the usability, reliability, and performance of large-scale quantitative research workflows, with a strong focus on developer experience and operational excellence 

• Contribute to the design and implementation of scheduling, security, and observability solutions suitable for highly parallel, compute-heavy systems 

• Work with state-of-the-art infrastructure and modern software engineering practices to support massive compute pipelines and rapidly evolving research demands 

• Take ownership of complex technical problems, operating with a high degree of autonomy while making pragmatic trade-offs to deliver impact quickly and safely 

Your Present Skill Set 

• BSc / MEng / PhD in Computer Science or a closely related field, or equivalent practical experience, with 5+ years of professional software development 

• Strong proficiency in at least one statically-typed programming language (e.g. C, C++, Java, Rust), with an interest in Go (prior experience welcome but not required). Experience with Python is a plus 

• Required: 5+ years of experience designing, implementing, and operating large-scale distributed systems in production environments 

• Preferred: Prior experience in quantitative finance or working closely with quantitative researchers and data-intensive workloads 

• Preferred Understanding of GPU programming models and performance considerations (e.g. CUDA, memory hierarchies, parallel execution), with exposure to ML frameworks such as PyTorch or TensorFlow 

• Solid understanding of systems concepts such as concurrency, performance, fault tolerance, and reliability 

• Comfortable working in fast-moving, rapidly evolving environments; proactive in learning new technologies and improving existing systems 

• Pragmatic engineering mindset, with a focus on delivering high-impact solutions while maintaining long-term platform health 

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:

You will join the global infrastructure support team at QRT. Working with end users, application teams and engineering teams you will be key in supporting QRT’s growing Linux on-prem estate in order to meet complex and evolving business requirements. As well as day to day support, the role will also include project-based activities such as new deployments, general administration tasks and upgrades. The role will also involve working closely with engineering teams to enhance platform automation and monitoring initiatives.

• Administer, support, and enhance Linux-based trading and research platforms in a high-availability environment
• Deploy new servers and manage end-to-end build and provisioning processes
• Partner with engineering teams to develop and improve automation and monitoring solutions
• Troubleshoot incidents, perform root-cause analysis, and implement long-term stability improvements
• Contribute to operational documentation and promote knowledge sharing across the team
• Participate in an on-call rota and perform occasional out-of-hours support (primarily remote)

Your present skillset:

• 4+ years’ experience in a systems engineering or infrastructure role supporting high-availability systems
• Strong Linux administration expertise (Red Hat, CentOS, Rocky Linux)
• Proven experience delivering full server lifecycle deployments, from hardware installation through OS build
• Solid understanding of AMD and Intel server hardware and components
• Working knowledge of server networking fundamentals, including TCP/IP, UDP, and LAN/WAN technologies
• Experience with infrastructure automation tools such as Ansible
• Familiarity with scripting languages, including Python and Bash
• Strong problem-solving ability with excellent analytical and communication skills
• Collaborative, team-oriented mindset with a willingness to learn and adapt
• Genuine enthusiasm for technology and continuous improvement
• Exposure to NFS or SAN storage systems is advantageous but not essential

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

• A key member of the global Market Access (MA) team, building and enhancing market access systems for all spectrums of QRT trading business.
• You will cover design, development, validation, deployment, and production support of QRT's trading gateways and market data handlers to global exchanges and brokers.
• Ownership of exchange upgrades and broker onboardings, including gap analysis, development, and validation/certifications, which may require frequent communications with external exchanges, brokers and third-party providers.
• Opportunities to work on low-latency aspects of the MA systems.
• You will be exposed to or work on surrounding upstream and downstream systems.
• You will be working with almost all teams in QRT, including quantitative analysts/developers, traders, operations, compliance, risk officers in addition to all IT teams.

Your present skillset

• Minimum 5 years of C++ development on Linux platform.
• Python and bash scripting skills essential.
• Experience designing and implementing multithreaded and distributed systems.
• Experience of exchange trading gateways and/or market data feed handlers.
• Experience with FIX trading protocol advantageous.
• Good knowledge of financial products desirable.
• Experience in low latency optimization and tuning techniques advantageous.
• Excellent communication and interpersonal skills essential.
• Being a motivated team player, with excellent problem-solving skills.

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:

• Monitor and support real-time risk systems (Greeks, exposure, limits)
• Own end-of-day PnL and resolve discrepancies (flash vs official)
• Investigate trade and position breaks across internal systems, brokers, and exchanges
• Ensure market data (prices, vol, curves) is accurate for risk/PnL calculations
• Explain PnL moves with traders and quants (delta, gamma, vega, etc.)
• Ensure systems are ready before market open (health checks, sign-off)
• Manage incidents and communicate clearly under time pressure
• Improve processes through automation (scripts, monitoring tools)
• Support releases and validate risk/PnL outputs
• Participate in on-call rotation (evenings/weekends, remote)

Your present skillset:

• 2+ years in risk, PnL, or quant support (trading firm, hedge fund, or bank)
• Strong understanding of risk metrics (delta, gamma, vega, theta, DV01)
• Experience with PnL production and reconciliation
• Exposure to at least two asset classes (e.g. equities, FX, rates, commodities)
• Strong SQL skills (SQL Server or Postgres)
• ~1 year scripting (Python, Bash, or PowerShell)
• Strong analytical and problem-solving skills
• Clear communication with technical and business stakeholders
• High ownership and proactive mindset

Nice to have:

• Market data tools (Bloomberg, Refinitiv)
• Options pricing / vol surfaces
• Prime brokerage / post-trade workflows
• Algorithmic trading environments
• Risk systems (e.g. Imagine, Murex, in-house)
• Linux experience
• Understanding of accounting PnL

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

• Your core objective is to deliver high-quality analytics of trading and production data, with a focus on ensuring the accuracy and integrity of the data used in decision-making.
• You will manage and maintain the data processes, ensuring smooth data flow across systems and resolving any discrepancies promptly with the trading support team.
• You will respond to inquiries related to financial metrics and trading data, providing clear and accurate insights to traders, researchers, and senior management.

Your present skillset

• You hold an advanced degree in a quantitative field such as data science, statistics, mathematics, physics, or engineering.
• You have strong coding skills in Python and SQL, with the ability to efficiently work with and manage large datasets.
• Prior experience in a financial institution or audit firm is a plus.
• You possess excellent communication skills, allowing you to clearly explain complex data issues and methodologies to both technical and non-technical audiences.

Your enhanced experience and learning opportunities at QRT

• Mentorship from industry professionals
• Detailed practical hands-on experience with portfolio management and analysis
• Contribution to high level decision making on global businesses
• Exposure to large scale data analysis technology
• Experience in a collaborative and collegial corporate 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.

Your future role within QRT:

• Be a key member of the development team, building and enhancing trading software.
• Work in a fast pace and challenging environment, interacting directly with traders and Quant researchers.
• Build real time trading systems.
• Work with traders and quants to build manual trading facilities as well as automated trading strategies.
• Design clean and reusable code.
• Highly collaborative environment, where time to market is key and user feedback is immediate.

Your present skillset :

• 3 years of professional experience as a software developer.
• Strong skills in object-oriented programming, ideally in C# or Java.
• Proven experience developing trading software (essential).
• Solid understanding of software architecture and performance optimization.
• Experience with WinForms or other front-end frameworks is a plus.
• Demonstrated interest in financial markets and order management systems.
• Rigorous, analytical, and capable of multitasking in a team-driven environment.
• Excellent communication skills and the ability to work closely with end users.

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.

A trading desk is successful thanks to the mix of the following three internal teams:

• Quant Traders: who are having strong knowledge about finance and trading
• Quant Researchers: who are mathematicians
• Quant Devs: who are strong in tech and computer science

Your future role within QRT:

• You will be working within a trading desk which means that your contribution will have a direct and immediate impact on the desk’s success
• Placing you as a key member of a Quant Dev team working closely with Quant Researchers and Quant Traders.
• A role with the potential to touch many aspects of algorithmic trading, including ultra-low-latency trading engine (tracking nanoseconds), research platform (Terabytes of data per day), and analytics infrastructure (Massive cloud computing)
• Opportunities to solve hard technical challenges critical to the desk’s success

Your present skill set:

• Expertise in modern C++, with strong hands-on development experience
• Deep understanding of system-level fundamentals, including CPU, memory, operating systems, and networking
• Strong analytical mindset and genuine motivation for robust and high-quality code development
• Proven ability to take full ownership of projects, from initial idea through to final delivery
• Effective communication skills and adaptability within dynamic, fast-paced environments
• Python skills highly desirable and considered a strong plus
• High motivation to work in the finance industry – prior experience is 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 achieve a healthy work-life balance.

Your future role within QRT:

• Partner closely with quantitative traders and researchers to design and build robust reporting and analytical tools that directly support trading strategies and performance monitoring.
• Explore, evaluate, and integrate alternative datasets to generate actionable insights and contribute to the development of innovative trading opportunities.

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  

This team works on the end to end solution for signal based extra-day and intra-day strategies at QRT.

- The python library/framework with which researchers can perform their research and develop their strategies.
- The on-ramp pipelines and process for submitting, backtesting and validating those strategies to trading
- The platform which run all those strategies in production, including the scaling and monitoring of that platform

Your present skillset 

- Strong python development skills, both exercised for the Python Integrator library itself, and for the tooling around the platform 
- Excellent written and verbal communication skills, as we have a strong focus on user facing documentation and support
- Advanced financial functional knowledge, to be able to design the feature the researchers and traders need in the library
- Architectural skills to help design an ever evolving platform always on step ahead of the needs in terms of scaling
- Great CI/devops mindset to help the team achieve maximal efficiency and the product to reach an excellent level of quality
- Rust/C high performance computing skills to help always improve the performance of the hotspot of the different components

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:

• Collaborate closely with quantitative traders to design and build systematic, data-driven trading strategies
• Develop and maintain real-time tools used to compute indicators that drive these strategies

• Strong experience delivering production-quality Python applications
• Hands-on production experience in C# or a similar language (C / C++ / Java)
• Proven experience building, deploying, and supporting production systems
• Ability to manage priorities effectively and work collaboratively in a fast-paced environment
• Excellent communication and interpersonal skills

• Previous experience in finance, particularly within a hedge fund environment
• Exposure to a technical leadership or architectural role
• Knowledge of AWS or a comparable cloud platform
• Experience building dashboards or working with data visualization tools

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

• 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.

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.

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.

Your future role within QRT

• Your core objective is to deliver high quality analytics of trading and production data and provide senior management with strategic outputs
• Develop new reports and analysis tools in order to help traders and researchers manage their risk on a daily basis
• Leverage your trading and market expertise by sharing production results and methodology with other traders and researchers
• Contribute to portfolio management through periodic strategic deep dives and improved continuous monitoring

Your present skillset

• Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering
• Coding skills required in at least one programming language (e.g. Python + SQL, VBA) and capacity to work on large datasets
• Experience in finance is a plus
• Excellent communication skills

Your enhanced experience and learning opportunities at QRT

• Mentorship from industry professionals
• Detailed practical hands-on experience with portfolio management and analysis
• Contribution to high level decision making on global businesses
• Exposure to large scale data analysis technology
• Experience in a collaborative and collegial corporate environment

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 

• Building global and scalable Data Lakehouse solution used by multiple trading desks at QRT. 
• Contributing into software and infrastructure design and implementation in AWS cloud environment. 
• Developing data pipelines in Python using data libraries and cloud SDKs. 
• Data modelling within scope of Data Lake and OLAP - large volumes and highly concurrent data access. 
• Optimizing performance of the data lake as well as OLAP databases in cross-region environment. 
• Ensuring data completeness and quality across critical pipelines. 
• Build and support tailored data solutions for Quants and Traders. 

Your present skillset 

• 5+ year of experience and proven track record of building data platforms. 
• Python and SQL mastery are essential. C++ is a big plus. 
• Appetite to contribute into cloud infrastructure. 
• Ability to build a structured approach to problem-solving. 
• Independent and autonomous while still a strong team player. 
• Intellectual curiosity to learn rapidly. 
• Finance experience 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 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.

As a Software Engineer – ML you will focus on turning research outputs into robust, scalable, and well-operated production systems. You will directly contribute to our engineering platform and automation efforts that accelerate delivery, improve reliability, and raise the quality bar across the ML and research lifecycle.

Your future role within QRT:

• Collaborate closely with Research and Machine Learning engineers to transition prototypes into production-grade services, jobs, and pipelines.
• Design, implement, maintain and support end-to-end research-to-production workflows (data/feature pipelines, training/inference jobs, batch processes, internal tooling).
• Build and improve automation around packaging, configuration, and environment reproducibility.
• Develop and maintain CI/CD pipelines to enforce code quality, testing, security checks, and smooth deployments.
• Contribute to deployment and runtime operations (containers, orchestration, infrastructure integration), ensuring reliability, performance, and maintainability.
• Implement monitoring, alerting, and observability (logs/metrics/traces) for production workloads; define operational runbooks and on-call support procedures when needed.
• Troubleshoot and resolve integration and production issues, ensuring optimal performance, robustness, and reliability.
• Create and maintain detailed documentation of system architecture, deployment processes, configurations, and support procedures.
• Stay updated with the latest technologies and best practices in software development, DevOps, and production operations.

Your present skill set:

• Proficiency in Python and strong knowledge of software engineering best practices (testing, code review, design, maintainability).
• Strong experience in software development, system integration, and automation.
• Familiarity with cloud platforms (e.g., AWS, GCP) and their integration services.
• Strong understanding of IT infrastructure, networking, and security principles.
• Experience with DevOps practices and tools (CI/CD pipelines, Docker, Kubernetes).
• Solid understanding of production operations: monitoring/alerting, incident troubleshooting, performance tuning, and reliability practices.
• Knowledge of data management and database systems.
• Excellent problem-solving abilities and a proactive mindset.
• Strong written and oral communication (English and French), able to explain complex issues to non-technical users.
• Independent and collaborative team worker.
• Passionate about technology and its potential to transform industries and user experiences.
• Enjoys working in a collaborative environment and building relationships with team members.
• Organized, detail-oriented, and committed to delivering high-quality solutions.
• Flexible and adaptable, able to handle the dynamic nature of project requirements and timelines.

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  

This team works on the end to end solution for signal based extra-day and intra-day strategies at QRT.

- The python library/framework with which researchers can perform their research and develop their strategies.
- The on-ramp pipelines and process for submitting, backtesting and validating those strategies to trading
- The platform which run all those strategies in production, including the scaling and monitoring of that platform

Your present skillset 

- Strong python development skills, both exercised for the Python Integrator library itself, and for the tooling around the platform 
- Excellent written and verbal communication skills, as we have a strong focus on user facing documentation and support
- Advanced financial functional knowledge, to be able to design the feature the researchers and traders need in the library
- Architectural skills to help design an ever evolving platform always on step ahead of the needs in terms of scaling
- Great CI/devops mindset to help the team achieve maximal efficiency and the product to reach an excellent level of quality
- Rust/C high performance computing skills to help always improve the performance of the hotspot of the different components

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 our Research Platform team as an integral member, contributing to the development and evolution of our next-generation research platform which enables researchers to design, test, and deploy highly complex quantitative strategies. Our team collaborates closely with business stakeholders to solve challenging problems that directly impact quantitative research at scale. . This team is central to our business success, supporting distributed computation, large-scale backtesting, and rapid experimentation. Our primary language is Python and we operate in an ecosystem that increasingly utilizes Rust. 

Your future role at QRT:

• Developing user-friendly APIs for Research use
• Designing and developing a scalable, robust platform for quantitative research
• Writing automated tests and maintaining high code quality
• Integrating Research Workflows with Strategy Deployment and Production
• Developing reusable libraries and APIs
• Collaborating with researchers and engineering teams to propose and implement new framework features

Your present skillset:

• Experience and knowledge in distributed systems and large-scale data processing
• Proficiency in Python and research-oriented APIs
• Familiarity with Rust is helpful, but not required
• Understanding of parallel computation
• Knowledge of testing within continuous delivery and integration pipelines
• Excellent communication skills, with the ability to collaborate effectively in a small, close-knit team
• Familiarity with cloud technologies (AWS preferred)
• Experience in financial data or quantitative development is advantageous but not essential.
• Fluency in English

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.

QRT is seeking a Software Engineer with strong Python skills and a deep understanding of systems design and reliability principles to help evolve and scale our high-performance trading platform. You'll build tools, automation, and design systems that support the speed and reliability our business depends on.

Your future role within QRT

• Collaborate with developers, researchers, traders, and platform teams to build and improve business-critical systems
• Build automation for operations, deployment, monitoring, and incident response
• Evaluate and implement tools that balance performance, complexity, and maintainability
• Own and evolve our observability stack: metrics, logs, tracing, and alerts
• Participate in the team oncall rota, leading incident response and driving continuous improvement through postmortems and root cause analysis

Your Present Skill Set

• Bachelor's degree in Computer Science or a strongly related field
• Strong Python programming skills
• Strong problem-solving skills and deep understanding of computer science fundamentals
• Commitment to code clarity, documentation, and reducing technical debt
• Hands-on experience with Linux/Unix systems in production environments
• Proven track record designing and delivering scalable systems in production environments

Preferred Qualifications

• Experience with infrastructure-as-code tools (Terraform, Ansible)
• Experience with monitoring and observability tools (Prometheus, Grafana or similar)
• Experience with container orchestration (Kubernetes, Docker, ECS)
• Knowledge of low-latency systems, trading environments, market data, or exchange protocols

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 Site Reliability Engineer team to help evolve and scale our high-performance trading platform. You’ll build tools, automation, and resilient systems that support the speed and reliability our business depends on.

Your future role within QRT:

• Build automation for operations, deployment, monitoring, and incident response.
• Apply SRE fundamentals (SLIs/SLOs/Error Budgets) to improve service health.
• Deliver and document system designs focused on resilience and performance.
• Evaluate and implement the right tools for the job, balancing performance, complexity, and maintainability.
• Own the observability stack (metrics, logs, tracing, alerts).
• Lead incident response and drive continuous improvement across systems.
• Collaborate with developers, quants, and platform teams on system evolution.

Your Present Skill Set:

• Hands-on experience in SRE or production engineering roles.
• Strong Python skills for infrastructure tooling and automation.
• Deep understanding of monitoring, incident response, and system architecture.
• A commitment to code clarity and reducing technical debt.
• Strong communication and collaboration skills across teams.
• Experience designing and delivering scalable systems in production environments.
• Experience with Linux/Unix.
• Bachelor’s degree in CS, Engineering, or related field.
• Experience with Kubernetes, Docker, or container orchestration.
• Familiarity with Terraform, Ansible, or infrastructure automation tools.
• Knowledge of low-latency trading environments, market data, or exchange protocols is preferred
• Background in Go, Bash, or other performance-focused system languages.

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.

• Support cross-functional strategic projects across research, technology, and business teams
• Contribute to internal AI and LLM-related initiatives
• Build lightweight data tools and automation scripts
• Assist with small coding and workflow optimization projects
• Prepare structured analyses and executive-ready materials
• Coordinate and follow up on multi-stakeholder initiatives to ensure strong execution

• Strong academic background in mathematics, engineering, computer science, finance, economics, or related fields
• Demonstrated excellence through academic performance, competitions, hackathons, research, or meaningful side projects

• Strong analytical and logical reasoning abilities
• Coding skills (Python preferred)
• Comfortable using AI tools and automation technologies
• Fluent English required; additional languages are a plus (French appreciated)

• Exceptionally curious and fast learner
• Structured thinker with a genuine interest in technology
• Comfortable navigating ambiguous, open-ended problems
• Strong intellectual agility and problem-solving mindset
• Eager to learn across both strategic and technical domains
• Humble, intellectually honest, and impact-driven

🚀 About the Team

You will join the Operations France & Europe team, at the heart of Wakam’s activity.

Wakam designs insurance products that are distributed by a wide range of partners such as traditional brokers, Insurtechs, and e‑commerce players. This activity involves building and managing complex ecosystems that bring together multiple stakeholders (distributors, reinsurers, third‑party administrators, assistance providers, etc.).

The Operations team is responsible for the operational performance and quality of service of Wakam’s insurance programs across France and Europe, working closely with partners and internal teams (IT, Product, Finance, Legal, etc.).

🎯 Your Mission

As an Operations Performance Intern for 6 months, your mission is to support the operational monitoring of Wakam’s insurance programs in France and across Europe, and to contribute to transversal transformation projects led by the Operations team.

1. Operational Monitoring of Partnerships

Within the Operations France & Europe team, you will be responsible for the operational follow‑up of several specific partnerships. In this context, you will:

• Collect, validate and analyse operational KPIs periodically sent by Wakam’s partners (distributors, TPAs, etc.), ensuring the reliability and consistency of the data.
• Monitor the quality of day‑to‑day policy and claims handling, as well as compliance with contractual commitments by partners and administrators.
• Identify operational issues or dysfunctions that may require corrective measures, and follow up on remediation action plans until resolution.
• Prepare reporting and presentation materials to support and animate steering committees with partners and administrators (dashboards, summaries of incidents, action plan follow‑up, etc.).

2. Contribution to Transversal Transformation Projects

You will also contribute to several cross‑functional transformation initiatives, such as:

• Designing digital dashboards with the IT team to improve the visualisation of operational KPIs and enable automated alerts when performance drifts or incidents are detected.
• Formalising and improving our end‑to‑end program monitoring processes, including:
  • Rationalisation of the number of external administrators / TPAs
  • Drafting and updating procedures and best practices
  • Designing and implementing new operational controls
  • Setting up and maintaining RACI matrices to clarify roles and responsibilities

🧠 What You Bring

You are a Master’s student from a Business School or University, with a specialisation in management, finance, insurance or a related field.

You ideally bring:

• A solid analytical background, with the ability to work with quantitative and qualitative data.
• An interest in operations, performance management, or insurance / financial services.
• Very good command of Excel / spreadsheet tools; knowledge of data visualisation or BI tools is a plus.
• Fluent English (written and spoken); another European language is a plus.

✨ Who You Are

You will be successful in this role if you:

• Have a strong attention to detail and excellent analytical skills, enabling you to understand and manage complex operational issues.
• Are proactive and solution‑oriented, and do not hesitate to propose improvements and smart, pragmatic solutions.
• Enjoy working in a team within a dynamic and fast‑moving environment.
• Demonstrate excellent communication skills, both written and oral, and feel comfortable interacting with multiple stakeholders (internal and external).
• Show positive energy, responsiveness, adaptability and a strong team spirit, essential qualities to support Wakam in its growth.

✨ 🤖 AI & Digital Mindset

At Wakam, digital is at the core of what we do. In Operations, this means you:

• Feel comfortable working with digital tools, dashboards and collaborative platforms.
• Are keen to industrialise and automate recurring tasks (e.g. reporting, KPI monitoring) in partnership with IT and Data teams.
• Are curious about how data, automation and AI‑powered tools can improve operational performance and risk monitoring, always in a controlled and documented way.
• Naturally look for efficient, technology‑driven ways to improve processes, quality of service, and partner oversight.

🌟 Why Join Wakam?

Joining Wakam as an Operations Performance Intern means:

• Being at the heart of Wakam’s business model, directly involved in the performance and quality of our insurance programs.
• Working in an international environment (France & Europe) with diverse partners (brokers, Insurtechs, e‑commerce players, TPAs…).
• Gaining hands‑on experience in operational monitoring, performance management, and transversal transformation projects.
• Collaborating with multidisciplinary teams (Operations, IT, Product, Data, etc.) in a fast‑growing, mission‑driven company.
• Evolving in a dynamic, caring and meritocratic environment, where interns are given real responsibilities and the opportunity to learn quickly.

🏆 Hiring Process

Our hiring process is designed to be selective, transparent, and respectful of your time:

1. Initial interview with our Talent Acquisition PartnerTo discuss your background, motivations, and answer your first questions about Wakam and the Operations team.
2. **Interview with our Head of External Operations Europe (your future manager)**To explore your experience and skills in more detail, present the role and missions, and assess the mutual fit.

There may be a short additional interview with another team member or a senior stakeholder before finalising the offer.

=> Welcome @Wakam 🚀

The Enterprise IT Support team is a globally distributed group that supports Datadog employees from day one and throughout their time at the company. In this role, you will hire, develop, and manage a team of Enterprise IT Support Technicians delivering high-touch, white-glove support with a focus on proactive and prompt service. You’ll set clear expectations, measure performance through service levels and operational metrics, and act as an escalation point for complex or high-impact issues. You’ll also partner closely with cross-functional stakeholders to continuously improve the services, tooling, and standards that power employee productivity across the business.

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What You’ll Do:

• Hire, Coach, And Develop The Team: Recruit, onboard, mentor, and manage Enterprise IT Support Technicians, supporting growth and career development.
• Drive Performance To Operational Targets: Hold the team accountable to SLOs and KPIs to ensure fast, accurate, and consistent end-user support.
• Own Policies, Standards, And Procedures: Create, maintain, and improve support processes, documentation, and operational playbooks.
• Scale End-User Self-Service: Build and promote programs, tooling, and knowledge resources that increase self-service adoption and reduce repeat issues.
• Serve As An Escalation Point: Triage and resolve complex support issues, coordinating with internal partners and vendors when needed.
• Improve Global Support Experience: Partner with stakeholders across Datadog to identify trends, reduce friction, and continuously improve support services.
  
  

Who You Are:

• People Manager Experience: You have experience managing an IT support team in an organization of 1,000+ employees.
• Endpoint And OS Support Background: You’ve supported large fleets across macOS, iOS, ChromeOS, Windows, and Linux environments.
• Metrics-Driven Operator: You can use quantitative performance management (e.g., SLOs, KPIs) to improve outcomes and coach effectively.
• Strong Communicator: You communicate clearly and professionally in writing and verbally with both technical and non-technical partners.
• Customer-First Leader: You love helping people and set a high bar for thoughtful, high-touch employee support.
  Distributed, Fast-Paced Collaboration: You’ve worked effectively across time zones in a high-growth, distributed environment.

Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply. 

Benefits and Growth:

• Product training to develop an in-depth understanding of our product and space
• Continuous career development and pathing opportunities for internal mobility 
• Intradepartmental mentor and buddy program for in-house networking 
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• New hire stock equity (RSUs) and employee stock purchase plan
• Free global mental health benefit through Spring Health 
• Generous global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Onsite

Datadog Real User Monitoring (RUM) provides deep insight into frontend applications’ availability and performance, enabling customers to monitor user experiences in real time across web, mobile, smart TVs, and other platforms. As a Product Manager II for RUM, you will help customers onboard and expand their usage in scalable and efficient ways, drive product consistency, and build intelligence powered by availability and performance data. You will partner closely with enterprise customers and cross-functional teams to shape the product vision, strategy, and execution for one of Datadog’s fastest-growing offerings. This role offers the opportunity to influence a high-impact product at scale while deepening your expertise in frontend observability and user experience monitoring.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Identify customer needs and business opportunities through quantitative data analysis and qualitative customer research
• Translate insights into clear business cases, product requirements, features, and roadmaps
• Collaborate closely with engineering, design, data science, and other product teams to deliver high-impact solutions
• Partner with marketing, customer success, and technical writing to launch features that are intuitive and easy to adopt
• Communicate feature releases to internal and external audiences to support effective go-to-market and product discovery

Who You Are:

• You have 3+ years of Product Management experience, ideally in enterprise software serving a technical audience
• You bring prior engineering experience or a strong understanding of frontend technologies and troubleshooting workflows, such as diagnosing crashes, latency, and performance issues
• You demonstrate strong ownership and accountability for outcomes, partnering across sales, solutions, marketing, and other teams
• You are customer-focused and hold a high bar for product quality and user experience
• You communicate clearly and confidently, with the ability to present and defend ideas to technical stakeholders and executives

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Real ownership. Real impact. Build from day one.

Are you an ambitious graduate ready to tackle complex, real-world challenges at the intersection of data, strategy and tech? 

The Future Leaders Graduate Program – Business Analytics at Picnic is a two-year launchpad for exceptional talents. From day one, you join a business team, own a business topic, and become an expert in your field.

At Picnic, we’re building the future of grocery. Using cutting-edge technology and data-driven innovation, we challenge the status quo and build the world’s smartest, most customer-focused supermarket.
We move fast, think big, and turn bold ideas into tangible impact.

Tricks of the trade

• Lead with ambition: Bring your relentless determination, creativity, and grit. Take the driver’s seat and redefine the grocery shopping experience for millions. You will be expected to think independently, move fast, and deliver results.
• Steep learning curve: Your growth comes from owning real problems, testing your ideas, learning from your mistakes and starting again. You'll blend hands-on training with immediate execution, you’ll move at a pace that accelerates your growth like nowhere else.
• Solve real-life puzzles: Spot opportunities, use tools at the forefront of technology, and own the outcome end to end. Not just making slides, but building the solution yourself.
• Innovate across borders: You’ll collaborate with teams across the Netherlands, Germany, and France, tackling challenges that redefine how Picnic operates at a European scale.
• High-performance environment: You’ll work alongside some of the best teams in analytics and tech, people who set a high bar and expect you to do the same.

From learning to leading

In your first six months, you’ll own a business-critical project from start to finish - supported by mentorship, learning sessions, and regular feedback.
You’ll strengthen your leadership abilities like project management, storytelling, stakeholder communication, giving & receiving feedback, while sharpening your skills in Python, SQL, Excel and PowerPoint.

As your scope grows, so does your responsibility. You might scale your initial project or take on new challenges in the same domain. Either way, the pace is yours to set. 

Where you’ll make an impact

From day one, you’ll be embedded in a business team, taking ownership in one of the following domains:

• Consumer - Drive growth through pricing, supplier strategy, and our market strategy. Think: Shaping our successful market entry into new cities. Your decisions shape how millions of customers experience Picnic.
• Tech - Work at the intersection of product and infrastructure, building scalable systems that power our operations. Think: building software and algorithms our FCAs run on or launch new features in our app used by millions.   
• Logistics - Build the backbone of Picnic: robotic fulfilment, demand forecasting, route optimization across Europe and much more

Your superpowers

You don't wait for permission. You see a problem, build the solution, and bring people with you, before anyone asks. You've probably already started something: a project, a product, a business, an initiative that didn't exist until you made it happen.

More specifically, you:

• Are about to graduate (or recently graduated) a Masters in a quantitative field: e.g., mathematics, econometrics, engineering, or similar
• Have experience in high-performance environments: consulting, fast-growth startups, or competitive internships and know what it means to raise the bar.
• Show an entrepreneurial mindset: you build, improve, and take ownership without being asked
• Think like a builder: hands-on, curious, and driven to challenge the status quo with practical solutions
• You have already gained basic knowledge in PowerPoint, Python, SQL, Excel or alternative coding languages 
• EU citizenship or valid EU working permit required.

Many strong candidates (particularly women) talk themselves out of applying because they don't tick every box. If this excites you and you believe you have what it takes, apply. We only hire when we find the right match. That’s why our selection process is intentionally highly selective.

 Why Picnic?

• Grow as we grow. We’re scaling quickly across countries and millions of customers and this is just the start. Grow your impact as we grow; we invest in your path but the driver's seat is always yours.
• Work with other innovators. Work with a driven, energetic team that builds, wins, and celebrates together (think of legendary Friday drinks, our Ski trip and our parties)
• Kickstart your career. Earn a competitive salary and step into a program designed to launch your long-term future at Picnic.

When are you joining? 

• Fall Edition 2026
  Start dates: September, October
  *earlier or later dates can be arranged, please indicate your preference in the application question

• Spring Edition 2027
  Start dates: February, March
  *earlier or later dates can be arranged, please indicate your preference in the application question

📍 Location: Full-time in Paris, with period trips to NL and DE

There is no deadline: Our aim is to find the most ambitious people out there. We onboard talents on a monthly basis, so whether you join in April or August, you’ll always have a group of people sharing the ride. 

Picnic Perks

🚲Health and Transportation
Through our partnerships with Malakoff Humanis and OpenUp, you have the opportunity to enroll in our company health insurance plan, as well as free and easy access to professional psychologists, workshops, and practical tools. Additionally, if you commute to work using public transportation, we reimburse 50% of your subscription cost.

🍉Food
Since we are located in the center of Paris, there is no on-site cafeteria. However, you will receive meal vouchers worth €11 per day to explore all the delicious restaurants nearby. Our small kitchen is also stocked with tasty snacks and refreshments.

📈Personal and Professional Development
You will have the opportunity to develop your skills not only through exciting projects and a dynamic environment but also via training programs offered by Lepaya.

🏖️All the rest
You get 25 days of paid vacation, plus additional rest days (RTT) based on the number of days worked in the year. Picnic provides you with a laptop, a phone, and a paid SIM card.
🚀Access to exclusive deals and perks through our Works Council (CSE) and our partner Swile (gift cards, concert tickets, cinema discounts, and more)

FAQ

Do I need a quantitative background? It's a strong advantage, but not a hard requirement. If your internships and projects demonstrate real hands-on ownership and data-driven thinking, we'll consider your application. You do need a Master's degree, basic knowledge of Python or SQL, and relevant work experience.

Does the program include rotations? No, intentionally. We believe depth creates ownership, and ownership creates impact. Rather than rotating across teams, you’ll go deep in one area, build real expertise, and gradually expand your scope as your impact grows. If you have topic preferences, tell us during the process.

In what language should I apply? English. Please include your CV and Master's degree transcript or any other relevant test scores (e.g., GMAT)

What are the long-term opportunities after the program? This program is a fast track into a high-impact career at Picnic, it’s an entry point for a long-term future, not a two-year stopover. 

Career paths here are as varied as the people on them. Some grow vertically, building deep expertise and a team around them as their project expands. Others move laterally - from Commercial to Fulfilment, Distribution to Customer, or wherever their strengths and ambitions take them. What they share is real ownership, real impact, and a career they shaped themselves.

In a nutshell 

At Picnic, we’re building the future of grocery shopping. Through cutting-edge technology and data-driven innovation, we challenge the status quo, set the standard for the industry, and turn ambition into impact at scale. We move fast, think big, and redefine what’s possible.
If you’re a bold, entrepreneurial thinker who wants real ownership, this is your chance to help create the world’s smartest, most customer-focused supermarket.

As a Business Analyst at Picnic, you’ll be at the forefront of innovation, tackling complex challenges with fresh, groundbreaking and lasting solutions. This role is all about driving impact: you’ll analyze data, identify opportunities, develop strategies that push boundaries and redefine the grocery shopping experience for millions of customers. We believe there’s no puzzle we cannot solve with the team we’re building here.
Which complex problems will you solve at Picnic? From day one, your first project, team, and lead will be chosen to fit your strengths. But the real opportunity is endless: you’ll tackle diverse, high-impact challenges over time across operations, products, and consumer teams.
And the best part? You own your path and your growth every step of the way.

Tricks of the trade

• Solving real-life puzzles. Face business questions like a consultant. See the problem, invent a solution, own the path to success. At Picnic, we treat business questions like puzzles in need of solving. Curious about what these puzzles could be?
• Innovating across borders. Working on projects spanning three countries and contributing to Picnic’s in-house innovation, shaping the business model as we grow and create solutions that have never been done before
• Building sustainable solutions. From concept to implementation, take full ownership, design, build, collaborate with stakeholders, and make your solutions work in the real world
• Owning solutions end-to-end. From concept to implementation, take full ownership, design, build, collaborate with stakeholders, and make your solutions work in the real world
• Leading with ambition. Using your relentless determination, creativity and grit to take the driver's seat and redefine the grocery shopping experience for millions of customers

Your superpowers

• Strong quantitative foundation. You hold a Master’s degree in Engineering, Econometrics, Mathematics, Physics, or a comparable quantitative field
• Proven impact in dynamic environments. 2-4 years of work experience in a fast-paced environment, start-up, or scale up. First touchpoints with business consulting is a big plus!
• Problem-solver at heart. You thrive on complex, real-world challenges and excel at breaking big, ambiguous problems into smart, actionable solutions.
• Clear and confident communicator. Strong communication skills in English which allow you to convert abstract plans into structural solutions for your stakeholders.
• Go-getter with an entrepreneurial mindset. You cut through ambiguity, take initiative, and turn ideas into action. Whether driving projects to delivery or building ventures from the ground up, you always find a way to make things happen.
• Analytical mindset. You have a strong grasp of math, logic, and quantitative reasoning, and bring a data-driven approach. Experience with SQL and Python is a plus.
  

  * Please Note: This is not a one-time hire. We’re hiring for this role throughout the year as part of our ongoing growth and expansion. Additionally, a EU citizenship or valid visa to work in the EU is required for this position.

  Why Picnic?

•  Work alongside the best. You’ll collaborate with some of the most talented and ambitious people in your field, we set the bar high for what we do and who joins our team.
• International perspective. You’ll travel across our European offices and work on international challenges, collaborating with colleagues all over Europe
• Endless growth. Your journey at Picnic starts with two days in operations, experiencing firsthand how we deliver to our customers. Then, you’ll meet your team and dive straight into your first project. From day one, you’ll take ownership. You own your path and the possibilities for growth and impact are endless.
• Young, dynamic, and vibrant teams. To build an extraordinary product, you need extraordinary people and a little fun along the way. We celebrate our successes with legendary parties, team events, Friday drinks and much more!

Picnic Perks 

🚲Health and Transportation
Through our partnerships with Malakoff Humanis and OpenUp, you have the opportunity to enroll in our company health insurance plan, as well as free and easy access to professional psychologists, workshops, and practical tools. Additionally, if you commute to work using public transportation, we reimburse 50% of your subscription cost.

🍉Food
Since we are located in the center of Paris, there is no on-site cafeteria. However, you will receive meal vouchers worth €11 per day to explore all the delicious restaurants nearby. Our small kitchen is also stocked with tasty snacks and refreshments.

📈Personal and Professional Development
You will have the opportunity to develop your skills not only through exciting projects and a dynamic environment but also via training programs offered by Lepaya.

🏖️All the rest
You get 25 days of paid vacation, plus additional rest days (RTT) based on the number of days worked in the year. Picnic provides you with a laptop, a phone, and a paid SIM card.

🚀Access to exclusive deals and perks through our Works Council (CSE) and our partner Swile (gift cards, concert tickets, cinema discounts, and more)

The Role: 

• We are seeking candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies

Job Responsibilities (include, but not limited to the following)

• Develop systematic strategies that exploit statistically-based predictive signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures, currencies and options
• Lead, manage and grow quantitative investment portfolio
• Contribute to broader firm research and strategic initiatives

• 2+ years’ experience in developing systematic strategies including a verifiable track record with positive PnL and Sharpe
• Strong programming skills in mainstream quant programming languages, such as Python and C++

The Book Portfolio Manager Opportunity:

• Transparent and formula-based compensation
• Opportunities to contribute to other research and strategy initiatives
• Access to WorldQuant’s alpha pool, portfolio management tools and innovative technology platforms
• Access to a deep and broad menu of datasets supported by a dedicated data team
• State-of-the-art cross asset execution led by a multi-regional trading team
• Participation in internal research conferences and forums
• Autonomy to build your own strategies along with several opportunities for collaboration and mentorship
• Access to cutting edge AI and Machine Learning efforts in financial markets

The Role: 

• We are seeking candidates with quantitative research experience and intimate knowledge of systematic strategies across a broad variety of asset classes including global equities and/or ETFs, futures, currencies and options

Job Responsibilities (include, but not limited to the following)

• Support Portfolio Managers with alpha research, modelling, portfolio construction, optimization, and implementation of quantitative trading strategies
• Build and maintain tools and systems used throughout the quantitative research and portfolio management processes

• PhD or Masters degree from a top university, with a major in computer science, mathematics, statistics, physics, engineering, or quantitative finance discipline
• 2-8 years’ experience in quantitative research and/or quantitative development for systematic strategies
• Demonstrated ability to program in Python and/or C++, with a strong background in data structures and algorithms
• Working knowledge of Linux
• Strong problem-solving abilities
• Strong moral integrity and work ethic

• Core Benefits: Fully paid medical and dental insurance for employees and dependents, flexible spending account, 401k, full paid parental leave, generous PTO (paid time off) with unlimited sick days
• Perks: Employee discounts for gym memberships, wellness activities etc., healthy snacks, casual dress code
• Training: learning and development courses, speakers, team-building off-site
• Employee resource groups

#LI-GO1

The Role: 

• We are seeking candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies

Job Responsibilities (include, but not limited to the following)

• Develop systematic strategies that use statistical signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures, currencies and options
• Independently lead, manage and grow quantitative investment portfolio (portfolio will have a separately identifiable track record)
• Autonomy to build your own research pipeline and grow your team

• 2+ years’ experience in developing systematic strategies including a verifiable track record with positive PnL and Sharpe
• Strong programming skills in mainstream quant programming languages, such as Python and C++
   

The Independent Portfolio Manager Opportunity:

• Transparent and formula-based compensation
• Meaningful allocation with growth potential based on performance and scalability
• Access to a deep and broad menu of datasets supported by a dedicated data team
• Cross-asset execution led by a multi-regional trading team
• Opportunity for select engagement with the CIO Office in support of your research and strategy development

#LI-GO1

About the job

Design, build, and scale internal AI agents that integrate with company systems, automate workflows, and deliver measurable operational impact.

This is a permanent position (CDI) based in Paris or Bordeaux, with 4 days on-site per week.

Why Now, Why Mirakl

The rise of agentic AI has fundamentally changed what's possible in our team automation. For the first time, AI agents can handle complex, multi-step workflows with minimal human intervention.

Mirakl is uniquely positioned to lead this shift. As an Operating system for intelligent commerce, technology is in our DNA. We've already deployed some AI agents using Dust, n8n, Claude Code and Langchain, and the early results are compelling. Now we need someone to take this from experimentation to internal agent industrialization — designing the system that will power the company of tomorrow.

You won't be joining a company that's thinking about AI. You'll be joining one that's already building it — and you'll be at the center of what comes next.

Who are we looking for?

• Backend Engineer with AI exposure – solid on APIs, reliability, and scalable integrations, with growing experience in LLMs
• Data / Analytics Engineer – strong on data structuring and business use cases, relevant for analytics-driven agents
• ML / Applied AI Engineer – good understanding of LLMs, RAG, and evaluation, with potential to grow on productization

What You’ll Do

1. Design & Build AI Agents

• Create workflow-driven AI agents (e.g., BDR, Contract, Accounting agents)
• Architect multi-step agent systems including prompts, tools, memory, and guardrails
• Rapidly prototype solutions and evolve them into production-grade products

2. Integrate Across the Stack

• Connect agents to internal systems (CRM, data platforms, Drive, Jira, etc.)
• Enable agents to perform real actions (e.g., update CRM, generate reports, create tickets)
• Ensure reliable orchestration between APIs, tools, and data sources

3. Iterate for Impact

• Run pilots with end users and gather qualitative and quantitative feedback
• Analyze usage, errors, and performance metrics
• Continuously improve accuracy, reliability, and user experience

4. Ensure Security & Quality

• Implement robust guardrails, validation layers, and access controls
• Ensure compliance with data security and governance standards
• Clearly document each agent (scope, capabilities, limitations, KPIs, roadmap)

5. Drive Adoption & Enablement

• Build a clean, scalable agent ecosystem for internal users
• Support and educate teams on adopting agents in their workflows
• Contribute to internal best practices and agent-building standards
• Act as a champion for AI-driven ways of working

Collaborative: you work hand-in-hand with our process owners, the Solution architect and the Data team.     

Our stack and tools:

• GenAI APIs: OpenAI, Anthropic, Mistral, Gemini
• Agent & Automation Tools: n8n, Dust, Claude
• Cloud: AWS or GCP

What Makes You Successful

• Strong product mindset: able to identify friction and design practical solutions
• Ability to turn ambiguous problems into structured, automated workflows
• Focus on measurable impact, not just technical output

Success Metrics

• Adoption: number of agents actively used and delivering value
• Automation rate: % of tasks completed without human intervention
• Performance: accuracy, reliability, and user satisfaction
• Business impact: time saved, quality improvements, operational efficiency

You'll Love This Job If you have 

• 3 to 5 years of experience as a Data Scientist, ML Engineer, or Software Engineer, with a background in backend/full-stack development, data, or automation workflows
• Proven experience building AI agents using LLMs, RAG, MCP and related technologies, including architectural design of multi-step agentic workflows
• Proficient in Python and data fundamentals (SQL, JSON, data modeling)
• Production deployment expertise, you've shipped AI solutions in production
• Experience with API integrations, MCP, webhooks, and connectors
• Experience with low-code/no-code automation platforms (n8n, Make, Zapier or equivalent)
• Curiosity and continuous learning, you stay current with AI/ML trends and love exploring new technologies
• Strong communication skills in both English and French

Feel free to add a link to your GitHub in your CV so we can understand what you have worked on!

Want to join us? Here is our process 

• A 40-minute phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return.
• An initial 1 hour technical discussion with a member of the Data Science team and Engineering Team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• 2 x 45-minute "STAR" interviews with future Mirakl colleagues to discuss our values and company culture.

About the Role

At Wheely, Operations is the core engine of our business. We operate a high-frequency, luxury marketplace where precision is the baseline. As an Associate Operations Manager, you will be responsible for the health of our marketplace. You will work alongside senior leadership to solve complex supply-demand challenges, optimise pricing mechanics, and ensure systemic efficiency across your market.

Responsibilities

• Marketplace Optimisation: Leverage predictive forecasting to anticipate market needs and deploy tactical levers including dynamic pricing, structured chauffeur incentives, and configuration adjustments.
• Operational Analytics: Utilise advanced data analytics to perform deep-dive root-cause analysis on marketplace inefficiencies. You are expected to translate complex data into clear, actionable insights and strategic recommendations that directly influence business performance.
• Strategic Execution & Impact: Own the full execution lifecycle: from deploying localised configurations to monitoring post-launch performance. You will move beyond delivery to validate that every initiative achieves its intended business impact, iterating on tactics in real-time to ensure measurable improvements.
• Product and Operations Link: Act as the strategic link between Product and Local Operations to solve marketplace inefficiencies. You will translate local operational friction into technical requirements to further improve marketplace health and platform functionality.

Requirements

• Academic Excellence: A degree in a highly quantitative field (Economics, Mathematics, Physics, or Engineering) from a top-tier university;
• Quantitative Depth: Exceptional analytical skills with the ability to translate complex data sets into strategic decisions. Proficiency in SQL is mandatory;
• Professional Grit & Ownership: A high-performance mindset with the tenacity to operate in a high-stakes environment. You are a “finisher” who does not stop until the objective is met, and the target is achieved;
• Problem-Solving: A track record of delivering creative, data-backed solutions to ambiguous problems;
• Communication: Exceptional skills with a focus on clarity, structure, and executive-level ownership;
• Emotional Intelligence: Demonstrated EQ with a customer-centric approach, essential for balancing marketplace mechanics with partner satisfaction;
• Ability to work from the Paris Wheely Academy (9th arrondissement) 5 days a week.

What we Offer

• Office-based role in Paris (9th arrondissement)
• Competitive salary
• Employee stock options plan
• Private medical insurance
• Life and critical illness cover
• Best-in-class equipment
• Monthly credit towards Wheely journeys
• Daily Lunch Allowance
• Navigo and Veligo travel
• Professional development stipend

Who are we?

iBanFirst is a fast-growing European fintech that is revolutionizing international payments for SMEs. Founded in 2016, our platform empowers Small & Medium Multinationals (SMMs) to regain control over their payment operations: currency conversion (FX), international transactions, and foreign exchange risk management across 140 countries — quickly, transparently, and securely.

We make life easier for SMEs through an advanced technology platform (automation, APIs, AI…) combined with dedicated expertise, offering the best of both worlds: the agility of a SaaS solution and the reliability of a trusted partner.

By simplifying complexity, iBanFirst helps thousands of bold companies seize global business opportunities with peace of mind — delivering simplicity, transparency, and security.

Key figures

• 350+ employees across 14 offices in 11 European countries
• 30+ nationalities represented, average age: 32
• 10,000 corporate clients trust us
• €80M in revenue in 2025, with a target of around €100M in 2026
• Profitable for nearly two years
• Ranked for 6 consecutive years in the Financial Times FT1000, among the fastest-growing European companies
• An NPS of 87.5 — an exceptional score in our industry that reflects enthusiastic client feedback on the simplicity, speed, and quality of our service

A strong culture built around 4 core values

• Team First: The complexity of our industry demands collective intelligence. We prioritize cooperation, transparency, and knowledge sharing. Success is a team effort, and decisions are made together.
• Tenacity: We're transforming a challenging and highly regulated market. It requires endurance, fast learning, and resilience — qualities rooted in our entrepreneurial DNA.
• Transformation: Innovation is not a buzzword; it's a necessity in a constantly shifting and strategic sector. We innovate with intent: every technical, product, or organizational improvement is designed for real impact.
• Trust: Trust is the foundation of everything we build — with our clients and, above all, internally. It's driven by ownership, autonomy, and a shared commitment to transparency, rigor, and reliability.

Why join us?

• We operate at the heart of a strategic and fast-evolving sector: international payments for SMEs — a complex, high-potential market.
• We're driven by a meaningful mission: helping bold "Small & Medium Multinationals" succeed globally.
• Our platform integrates cutting-edge technologies (AI, automation…), making it an ideal playground to test, learn, and innovate continuously.
• You'll join an agile environment where your expertise has tangible impact, working alongside talent from top financial institutions.
• iBanFirst is profitable and backed by long-term investors:
  • Xavier Niel and Bpifrance, historical shareholders, have supported and trusted us from the beginning
  • In 2021, the entry of Marlin Equity Partners marked a new chapter in our international ambitions

Joining iBanFirst means joining a profitable, international, fast-growing tech company. It's also a chance to learn, grow, and contribute directly to a shared ambition: simplifying international finance for SMEs.

The Role

Recruitment Context

We are opening this position with the strategic objective of strengthening the seniority level of our Data Analytics team. We are looking for experienced profiles who can take full ownership of cross-functional projects, act as true business partners, and help elevate the team's overall impact across the organization.

Manager & Team

You will report to Fatimata Sall, Head of Data at iBanFirst.

You'll be joining a Data Analytics team of 7 people, including:

• 2 Team Lead Data Analysts
• 3 Data Analysts

The team collaborates closely with all business functions: Finance, Sales, Compliance, Product, Marketing, and Operations. 2026 is an exciting year for the team, with three strategic priorities driving our roadmap: enabling self-service analytics, strengthening data infrastructure and processes, and raising the bar on data quality and governance. You will play a central role in all three.

What will you do?

We are looking for a passionate and highly motivated Senior Data Analyst to join our Data Analytics team. In this role, you will act as a strategic business partner across all functions, driving data-driven decision-making and delivering actionable insights that shape iBanFirst's growth.

You will bridge the gap between business needs and technical implementation, leading complex analytics projects end-to-end while championing scalable, high-quality data practices.

Task breakdown (indicative):

• 70% — Business partnering, analysis & reporting: Work hand-in-hand with business teams to understand their needs, translate them into analytical frameworks, and lead complex cross-functional data projects. Build and maintain strategic dashboards and reports; perform advanced analyses (cohort, attribution, forecasting) and deliver clear recommendations.
• 30% — Technical contribution & data quality: Write high-quality SQL, contribute to data models, and help drive data governance and self-service & AI initiatives.

Key responsibilities:

Strategic Analytics & Business Partnership

• Act as the go-to analytics expert for all business domains (Finance, Sales, Compliance, Product, Marketing, Operations)
• Translate complex business challenges into analytical frameworks and deliver actionable insights
• Proactively identify improvement opportunities and lead strategic data initiatives end-to-end
• Foster a data-driven culture through training, best practice sharing, and stakeholder enablement

Advanced Analysis & Reporting

• Lead complex, cross-functional analytics projects involving multiple data sources
• Build strategic dashboards and reports that empower teams to make data-driven decisions autonomously
• Perform advanced ad-hoc analyses and deliver clear, actionable recommendations

Technical Excellence & Scalability

• Write high-quality SQL code following best practices (version control, code reviews, testing)
• Design and build robust, scalable data models using dbt and Snowflake
• Enable self-service analytics by building reusable data products that reduce dependency on the data team
• Contribute to improving data quality standards and governance practices across the team

Tools you'll work with: Snowflake, dbt (Data Build Tool), Tableau, Metabase, Git, Dust

Role Objectives

First 3 months:

• Get up to speed with our data stack, business context, and team ways of working
• Build strong relationships with key business stakeholders
• Take ownership of initial projects and start delivering value independently

First 6 months:

• Operate fully autonomously on your scope of business domains
• Lead at least one cross-functional data project end-to-end
• Actively contribute to self-service and data quality initiatives

First 12 months:

• Be recognized as a strategic data partner by the business teams you support
• Contribute meaningfully to the evolution of team processes and standards
• Support junior team members and help raise the overall seniority of the team

Objectives are reviewed quarterly and combine both qualitative and quantitative metrics, aligned with the team's three strategic pillars.

What do you bring?

Experience:

• 5+ years of experience as a Data Analyst, ideally in a start-up or scale-up environment
• Proven track record delivering complex analytics projects with measurable business impact

Must-have skills:

• Outstanding communication and interpersonal skills — you know how to make data accessible to non-technical audiences and build strong relationships with business stakeholders
• Strong project management skills — you can independently structure and drive long-term, multi-stakeholder data projects
• Leadership mindset — you're comfortable driving change, supporting teams through transformation, and taking ownership
• Technical proficiency: expert SQL (Snowflake is a plus), dbt or similar transformation tools, and strong experience with Tableau and/or Metabase
• Business acumen — you understand the broader context behind the numbers and can translate requirements into analytical frameworks
• Fluent in both French and English (the team is predominantly French-speaking)
• Passion for code quality, scalability, and self-service analytics
• Comfortable with ambiguity and fast-paced environments

Nice to have:

• Experience in FinTech or financial services (transactional data, regulatory reporting)
• Previous management or mentoring experience
• Knowledge of Python or data quality frameworks

What do we offer?

Contract & benefits

• Permanent contract (CDI)
• Office location: Paris
• Hybrid work policy: Approximately 3 days per week in the office. The team typically aligns on office days together (usually Tuesday and Thursday), with flexibility for individual needs.
• Compensation: €60,000 to €65,000 gross annual salary
• Swile meal card
• Axa health insurance
• Commuter benefits
• RTT (extra paid days off)
• Gymlib subscription
• Paid parental leave

Grow at iBanFirst

• Build deep expertise in the fast-growing FinTech/Paytech industry with a modern, cutting-edge data stack (Snowflake, dbt, Tableau/Metabase, Airflow, Catalog, Dust)
• Grow your data analytics and business partnering skills in a scaling international company
• Enjoy autonomy and ownership on impactful projects — your work directly influences strategic decisions across the company
• Thrive in a multicultural environment, with 14 offices across Europe and colleagues from diverse backgrounds
• Join a tight-knit, high-performing data team known for its great team spirit and genuine collaboration
• Participate in company-wide events: team offsites, company parties, and regular social activities

Recruitment Process

1. Screening call with Malorie Petitjean (Talent Acquisition Specialist)

— 30 minutes – remote (video)

— Purpose: General fit, motivation, salary expectations, availability

2. In-depth interview with Fatimata Sall (Head of Data) + Alex B. (Senior Data Analyst)

— 1 hour – in-person (preferred)

— Purpose: Role-specific skills, business acumen, technical depth, collaboration style. Includes a live case discussion (no take-home assignment) to assess problem-solving approach and analytical thinking. Opportunity to meet part of the team informally.

3. Final round with Julien Molez (N+2)

— 45 minutes – remote (video)

— Purpose: Leadership validation, strategic alignment, long-term potential

 WHAT YOU’LL DO: 

• Handles the day-to-day trading efforts for a portfolio of accounts, actively supporting more Senior Traders  

• Partners with other business team members to add in-depth product knowledge and develop trading-specific strategies to achieve client goals  

• Owns numerous accounts independently and recognises opportunities to grow accounts; playing a key role in identifying and prioritising client needs  

• Helps to train new and existing clients in all platform operational areas, and to onboard new clients  

• Develop areas of expertise in product offerings and acts as an internal resource for the internal business team  

• Actively pursues ways to grow client business through helping agencies provide new value (savings analyses, campaign planning, performance and measurement, marketing funnel approach, etc.)  

• Assists Senior Traders in onboarding and developing newer traders, and in particular works as an authority on trading-related topics 

• Seeks to provide additional value outside of the role through cultural contributions, collaboration with peers, case study development, new product beta testing opportunities and relaying feedback to our product team. 

• Communicates complex concepts and ideas in a clear and concise manner, across audiences with varying levels of expertise. 

WHO YOU ARE: 

• Extensive experience within programmatic advertising 

• Client-facing experience, building and developing relationships as well as confidently presenting in front of clients 

• You're a very strong communicator that collaborates effectively across an internal client services team and leads by example for more junior members of the team 

• Show consistent ability to communicate complex ideas and concepts in a simple, straightforward manner 

• Effective time management skills – ability to prioritise and meet deadlines 

• Excellent troubleshooting and analytical abilities. Love to problem-solve, along with an ability to collaborate cross-functionally in a dynamic environment  

• Strong quantitative skills coupled with real passion for mining insights from very large datasets  

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

About the job

Design, build, and scale internal AI agents that integrate with company systems, automate workflows, and deliver measurable operational impact.

This is a Freelance position based in Paris or Bordeaux, with 4 days on-site per week.

Why Now, Why Mirakl

The rise of agentic AI has fundamentally changed what's possible in our team automation. For the first time, AI agents can handle complex, multi-step workflows with minimal human intervention.

Mirakl is uniquely positioned to lead this shift. As an Operating system for intelligent commerce, technology is in our DNA. We've already deployed some AI agents using Dust, n8n, Claude Code and Langchain, and the early results are compelling. Now we need someone to take this from experimentation to internal agent industrialization — designing the system that will power the company of tomorrow.

You won't be joining a company that's thinking about AI. You'll be joining one that's already building it — and you'll be at the center of what comes next.

Who are we looking for?

Backend Engineer with AI exposure – solid on APIs, reliability, and scalable integrations, with growing experience in LLMs
Data / Analytics Engineer – strong on data structuring and business use cases, relevant for analytics-driven agents
ML / Applied AI Engineer – good understanding of LLMs, RAG, and evaluation, with potential to grow on productization

What You’ll Do

1. Design & Build AI Agents

• Create workflow-driven AI agents (e.g., BDR, Contract, Accounting agents)
• Architect multi-step agent systems including prompts, tools, memory, and guardrails
• Rapidly prototype solutions and evolve them into production-grade products

2. Integrate Across the Stack

• Connect agents to internal systems (CRM, data platforms, Drive, Jira, etc.)
• Enable agents to perform real actions (e.g., update CRM, generate reports, create tickets)
• Ensure reliable orchestration between APIs, tools, and data sources

3. Iterate for Impact

• Run pilots with end users and gather qualitative and quantitative feedback
• Analyze usage, errors, and performance metrics
• Continuously improve accuracy, reliability, and user experience

4. Ensure Security & Quality

• Implement robust guardrails, validation layers, and access controls
• Ensure compliance with data security and governance standards
• Clearly document each agent (scope, capabilities, limitations, KPIs, roadmap)

5. Drive Adoption & Enablement

• Build a clean, scalable agent ecosystem for internal users
• Support and educate teams on adopting agents in their workflows
• Contribute to internal best practices and agent-building standards
• Act as a champion for AI-driven ways of working

Collaborative: you work hand-in-hand with our process owners, the Solution architect and the Data team.     

Our stack and tools:

• GenAI APIs: OpenAI, Anthropic, Mistral, Gemini
• Agent & Automation Tools: n8n, Dust, Claude
• Cloud: AWS or GCP

What Makes You Successful

• Strong product mindset: able to identify friction and design practical solutions
• Ability to turn ambiguous problems into structured, automated workflows
• Focus on measurable impact, not just technical output

Success Metrics

• Adoption: number of agents actively used and delivering value
• Automation rate: % of tasks completed without human intervention
• Performance: accuracy, reliability, and user satisfaction
• Business impact: time saved, quality improvements, operational efficiency

You'll Love This Job If you have 

• 3 to 5 years of experience as a Data Scientist, ML Engineer, or Software Engineer, with a background in backend/full-stack development, data, or automation workflows
• Proven experience building AI agents using LLMs, RAG, MCP and related technologies, including architectural design of multi-step agentic workflows
• Proficient in Python and data fundamentals (SQL, JSON, data modeling)
• Production deployment expertise, you've shipped AI solutions in production
• Experience with API integrations, MCP, webhooks, and connectors
• Experience with low-code/no-code automation platforms (n8n, Make, Zapier or equivalent)
• Curiosity and continuous learning, you stay current with AI/ML trends and love exploring new technologies
• Strong communication skills in both English and French

Feel free to add a link to your GitHub in your CV so we can understand what you have worked on!

Want to join us? Here is our process 

• A 30-minute phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return.
• An initial 1 hour technical discussion with a member of the Data Science team and Engineering Team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• 2 x 45-minute "STAR" interviews with future Mirakl colleagues to discuss our values and company culture.

About the job

Design, build, and scale internal AI agents that integrate with company systems, automate workflows, and deliver measurable operational impact.

This is a permanent position (Freelance) based in Paris or Bordeaux, with 4 days on-site per week.

Why Now, Why Mirakl

The rise of agentic AI has fundamentally changed what's possible in our team automation. For the first time, AI agents can handle complex, multi-step workflows with minimal human intervention.

Mirakl is uniquely positioned to lead this shift. As an Operating system for intelligent commerce, technology is in our DNA. We've already deployed some AI agents using Dust, n8n, Claude Code and Langchain, and the early results are compelling. Now we need someone to take this from experimentation to internal agent industrialization — designing the system that will power the company of tomorrow.

You won't be joining a company that's thinking about AI. You'll be joining one that's already building it — and you'll be at the center of what comes next.

Who are we looking for?

Backend Engineer with AI exposure – solid on APIs, reliability, and scalable integrations, with growing experience in LLMs
Data / Analytics Engineer – strong on data structuring and business use cases, relevant for analytics-driven agents
ML / Applied AI Engineer – good understanding of LLMs, RAG, and evaluation, with potential to grow on productization

What You’ll Do

1. Design & Build AI Agents

• Create workflow-driven AI agents (e.g., BDR, Contract, Accounting agents)
• Architect multi-step agent systems including prompts, tools, memory, and guardrails
• Rapidly prototype solutions and evolve them into production-grade products

2. Integrate Across the Stack

• Connect agents to internal systems (CRM, data platforms, Drive, Jira, etc.)
• Enable agents to perform real actions (e.g., update CRM, generate reports, create tickets)
• Ensure reliable orchestration between APIs, tools, and data sources

3. Iterate for Impact

• Run pilots with end users and gather qualitative and quantitative feedback
• Analyze usage, errors, and performance metrics
• Continuously improve accuracy, reliability, and user experience

4. Ensure Security & Quality

• Implement robust guardrails, validation layers, and access controls
• Ensure compliance with data security and governance standards
• Clearly document each agent (scope, capabilities, limitations, KPIs, roadmap)

5. Drive Adoption & Enablement

• Build a clean, scalable agent ecosystem for internal users
• Support and educate teams on adopting agents in their workflows
• Contribute to internal best practices and agent-building standards
• Act as a champion for AI-driven ways of working

Collaborative: you work hand-in-hand with our process owners, the Solution architect and the Data team.     

Our stack and tools:

• GenAI APIs: OpenAI, Anthropic, Mistral, Gemini
• Agent & Automation Tools: n8n, Dust, Claude
• Cloud: AWS or GCP
• (Optional): LangChain, LlamaIndex
  
  

What Makes You Successful

• Strong product mindset: able to identify friction and design practical solutions
• Ability to turn ambiguous problems into structured, automated workflows
• Focus on measurable impact, not just technical output

Success Metrics

• Adoption: number of agents actively used and delivering value
• Automation rate: % of tasks completed without human intervention
• Performance: accuracy, reliability, and user satisfaction
• Business impact: time saved, quality improvements, operational efficiency

You'll Love This Job If you have 

• 3 to 5 years of experience as a Data Scientist, ML Engineer, or Software Engineer, with a background in backend/full-stack development, data, or automation workflows
• Proven experience building AI agents using LLMs, RAG, MCP and related technologies, including architectural design of multi-step agentic workflows
• Proficient in Python and data fundamentals (SQL, JSON, data modeling)
• Production deployment expertise, you've shipped AI solutions in production
• Experience with API integrations, MCP, webhooks, and connectors
• Experience with low-code/no-code automation platforms (n8n, Make, Zapier or equivalent)
• Curiosity and continuous learning, you stay current with AI/ML trends and love exploring new technologies
• Strong communication skills in both English and French

Feel free to add a link to your GitHub in your CV so we can understand what you have worked on!

Want to join us? Here is our process 

• A 40-minute phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return.
• An initial 1 hour technical discussion with a member of the Data Science team and Engineering Team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• 2 x 45-minute "STAR" interviews with future Mirakl colleagues to discuss our values and company culture.