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 

The Global Compensation & Benefits Manager plays a critical role in shaping, managing, and continuously improving ABBYY’s global Total Rewards framework. This role combines strategic program ownership with handson operational execution across compensation, benefits, and governance. You will partner closely with the Director, Engagement and collaborate with Talent Acquisition, People Operations, Finance, Payroll, Legal, and thirdparty vendors to ensure our compensation and benefits programs are competitive, equitable, compliant, and aligned with ABBYY’s global philosophy. 

This role requires strong analytical capability, sound judgment, and an ability to translate complex data into clear insights and scalable solutions. You will influence global Total Rewards strategy while ensuring excellence and accuracy in daytoday program delivery.
 

Key Responsibilities 

Global Compensation Management 

• Lead preparation and delivery of the annual compensation cycle, including merit, promotion, market adjustments, and performance bonus administration. 

• Oversee global market benchmarking using compensation surveys (e.g., Radford, Mercer, Culpepper) and recommend adjustments to salary ranges and job architecture. 

• Partner with Talent Acquisition to set salary range positions, advise on offer strategies, and ensure internal equity. 

• Own and maintain global salary structures, ensuring alignment with market data, internal equity, and regulatory requirements. 

• Develop compensation dashboards, insights, and executive-ready recommendations. 

• Manage governance and compliance for all global compensation practices. 

Global Benefits Management 

• Oversee evaluation, design, and delivery of ABBYY’s global benefits programs, including health, retirement, statutory benefits, wellness, and regionspecific offerings. 

• Lead market assessments to ensure competitiveness, costeffectiveness, and alignment with global principles. 

• Manage renewals, broking activities, and open enrollment processes. 

• Develop employee-facing benefits materials (benefits guides, FAQs, communication plans) in partnership with Internal Comms. 

• Drive standardisation and harmonisation where appropriate, while respecting local statutory requirements. 

Data, Reporting & Governance 

• Own all global compensation and benefits data within HR systems and reporting tools. 

• Build and maintain regular and ad hoc C&B reporting covering cost, utilization, distribution, and program effectiveness. 

• Identify data gaps and drive improvements to processes, tools, and controls. 

• Support internal and SOX audit activity through accurate documentation and compliance with governance frameworks. 

• Uphold global data privacy requirements, including GDPR and local regulations. 

CrossFunctional Leadership & Vendor Management 

• Partner with People Operations to ensure accurate and timely execution of compensation and benefits transactions. 

• Collaborate with Payroll and Finance on costing, payments, and budgeting for compensation and benefits programs. 

• Manage relationships with global and regional vendors, ensuring SLA adherence and service quality. 

• Act as a subject matter expert for Engagement Partners and managers, providing guidance aligned with global Total Rewards frameworks. 

• Support clear, effective Total Rewards communication strategies across the organisation. 

Job Requirements

• 5–8 years of experience in Compensation, Benefits, or Total Rewards, with exposure to global programs. 

• Strong command of compensation benchmarking tools (Radford, Mercer, Culpepper). 

• Experience partnering crossfunctionally with TA, People Ops, Finance, Payroll, and Legal. 

• Prior experience supporting multiple countries and navigating diverse regulatory environments. 

• Experience managing vendors and external partners preferred. 

 Skills & Capabilities 

• Advanced analytical skills with exceptional attention to detail and data accuracy. 

• High proficiency in Excel/Sheets; experience with Power BI or Tableau a plus. 

• Ability to convert complex data into actionable insights and recommendations. 

• Strong influencing skills and ability to work in a global, matrixed environment. 

• Excellent organizational skills; able to lead multiple processes across global cycles. 

• Ability to maintain strict confidentiality and exercise sound judgment. 

• A global mindset, cultural awareness, and an inclusive approach to decision-making. 

 Tools & Technology 

• HRIS experience (HiBob preferred; equivalent systems such as Workday or SAP SuccessFactors also valuable). 

• Compensation survey platforms (Radford, Mercer, Culpepper). 

• Familiarity with global payroll or finance systems (e.g., ADP, NetSuite). 

Compliance & Governance 

• Knowledge of global statutory requirements, including statutory benefits, minimums, and local market norms. 

• Awareness of pay transparency regulations (EU/US) and their impact on compensation structures. 

• Strong understanding of data privacy laws (GDPR and local equivalents) and secure handling of compensation data. 

Here are some of our local benefits

About the role:

ABBYY Vantage is our flagship Document AI platform – a cloud-native, microservices-based product that combines purpose-built AI, OCR, NLP, and direct LLM integration to help enterprise customers extract, classify, and act on data from any document. Vantage 3.0, our latest release, introduces native Azure OpenAI integration, enterprise-grade compliance and redaction, a real-time analytics dashboard, and a growing library of pre-configured AI skills. Over 10,000 customers trust ABBYY – including Fortune 500 companies like DHL, Johnson & Johnson, FDA, PwC, KeyBank, Spotify, and H&R Block – to automate their most complex document workflows.

We are looking for a Staff Software Engineer to serve as a senior technical leader on the Vantage platform. You will drive the design and delivery of complex, cross-cutting capabilities – spanning document AI pipelines, LLM integrations, compliance infrastructure, analytics, and platform extensibility. Beyond your own code, you will act as a technical multiplier: influencing architectural decisions, setting quality standards, and developing the engineers around you. This is a role for someone who leads through depth, judgment, and impact.

Job Responsibilities:

• Technical Leadership: Drive the technical design and delivery of significant Vantage platform capabilities, from architecture and API contracts through deployment, monitoring, and iteration.
• Quality & Standards: Define and uphold engineering standards for the Vantage codebase – covering code quality, service reliability, performance, security, and compliance – and drive their adoption across teams.
• Strategic Collaboration: Act as a senior technical voice in cross-functional planning with product management, ML engineering, cloud architecture, and engineering leadership; translate business priorities into actionable technical roadmaps.
• Platform Improvement: Lead initiatives to improve Vantage platform health at scale: service decomposition, observability, CI/CD maturity, and developer productivity.
• Operational Excellence: Own high-severity incident response for Vantage cloud services; drive post-mortems and systemic reliability improvements.
• Engineering Mentorship: Mentor Senior and Principal Engineers on the Vantage team; build a culture of technical rigor, shared ownership, and continuous learning.
• Technical Innovation: Evaluate and champion adoption of new technologies – from GenAI model integrations to cloud-native tooling – that strengthen ABBYY's Document AI differentiation.

Job Requirements:

• 10–13 years of professional software engineering experience with deep expertise in C# .NET and C++, willing to work with both languages
• Proven experience designing, implementing, and operating CI/CD pipelines for building, testing, and deploying workflows using GitHub Actions and/or Azure DevOps Pipelines
• Strong command of microservices architecture, distributed system design, and cloud-native patterns at enterprise scale
• Demonstrated ability to mentor Senior and Mid-level Engineers and partner with Engineering Managers on technical direction
• Experience leading technical design reviews and influencing architectural decisions across team and product boundaries

Desired Qualifications

• Experience in cloud, preferably using Microsoft Azure (AKS, Storage, Key Vaults, Azure SQL or equivalent)
• Track record of delivering production-grade systems that meet enterprise compliance, security, and reliability standards
• Hands-on experience designing and operating workflow-driven systems (orchestration, retries, timeouts, and state management)
• Experience integrating Machine Learning, Neural Networks or LLMs into enterprise applications and workflows
• Comfort operating across a globally distributed engineering organization spanning multiple regions and cultures

Here are some of our local benefits:

Job Responsibilities:

Technical Leadership & Architecture

• Guide architectural decisions for computer vision and multimodal systems
• Drive implementation of novel ML approaches and best practices
• Lead technical design reviews and architecture discussions
• Establish patterns for model development and deployment
• Evaluate and introduce new technologies and methodologies
• Ensure technical excellence across ML initiatives

Team Mentorship & Growth

• Mentor senior and junior machine learning engineers
• Foster a culture of engineering excellence and knowledge sharing
• Guide career development of team members
• Lead technical discussions and learning sessions
• Review and provide feedback on technical approaches
• Help build and maintain high engineering standards

Technical Implementation & Scale

• Lead development of complex ML systems and architectures
• Guide optimization of model performance and efficiency
• Establish frameworks for model evaluation and validation
• Drive improvements in development and deployment processes
• Ensure production readiness and system reliability
• Architect scalable ML solutions

Job Requirements:

Education & Experience

• MS or PhD in Computer Science, Engineering, Mathematics, or related field
• 8+ years of experience in Machine Learning/AI
• Deep expertise in computer vision and deep learning
• Proven track record of leading successful ML projects
• Experience mentoring engineers and driving technical excellence

Technical Expertise

• Expert knowledge of computer vision and multimodal architectures
• Deep understanding of ML system design and scalability
• Strong programming skills in Python and modern ML frameworks
• Extensive experience with production ML systems
• Proven ability to solve complex technical challenges
• Strong background in performance optimization

Leadership & Communication

• Demonstrated ability to mentor and grow engineers
• Strong track record of driving technical decisions
• Excellence in technical communication and documentation
• Experience leading architectural discussions
• Ability to influence and drive consensus
• Track record of fostering team growth

This role offers the opportunity to shape both our technical direction and team growth while working on cutting-edge computer vision systems. The ideal candidate will combine deep technical expertise with strong mentorship abilities to drive both project success and team development.

Here are some of our local benefits:

About the role:

ABBYY Vantage is our flagship Document AI platform – a cloud-native, microservices-based product that combines purpose-built AI, OCR, NLP, and direct LLM integration to help enterprise customers extract, classify, and act on data from any document. Vantage 3.0, our latest release, introduces native Azure OpenAI integration, enterprise-grade compliance and redaction, a real-time analytics dashboard, and a growing library of pre-configured AI skills. Over 10,000 customers trust ABBYY – including Fortune 500 companies like DHL, Johnson & Johnson, FDA, PwC, KeyBank, Spotify, and H&R Block – to automate their most complex document workflows.

We are looking for a Senior Software Engineer to join the Vantage engineering team. You will be a hands-on contributor building and evolving the services that power Vantage's document AI capabilities – from OCR pipelines and skill training workflows to API integrations and analytics infrastructure. You bring strong engineering fundamentals, a quality-first mindset, and a drive to deliver reliable, scalable software in a cloud-native environment.

Job Responsibilities:

• End-to-End Development: Design, develop, test, and deploy features and services within the Vantage platform, contributing to areas such as document processing pipelines, AI skill management, cloud infrastructure, and API layers.
• Code Quality: Write clean, maintainable, well-tested code; actively participate in code reviews and champion engineering best practices across your team.
• Cross-Functional Collaboration: Work closely with product managers, UX designers, ML engineers, and fellow software engineers to translate Vantage feature requirements into well-architected solutions.
• Continuous Improvement: Identify and surface improvements to existing Vantage services, tooling, and delivery workflows; contribute to reducing technical debt and increasing engineering velocity.
• System Reliability: Monitor the health and performance of Vantage cloud services; investigate and resolve production incidents in a timely manner.
• Technical Growth: Stay current with advances in Document AI, cloud-native patterns, and GenAI integration approaches that could enhance the Vantage platform.

Job Requirements:

• 5–9 years of professional software engineering experience with deep expertise in C# .NET and C++, willing to work with both languages
• Proven experience designing, implementing, and operating CI/CD pipelines for building, testing, and deploying workflows using GitHub Actions and/or Azure DevOps Pipelines
• Good understanding of microservices architecture, distributed system design, and cloud-native patterns at enterprise scale
• Demonstrated track record of delivering high-quality, testable code
• Strong analytical and debugging skills with the ability to investigate complex issues across distributed systems

Desired Qualifications

• Experience in cloud, preferably using Microsoft Azure (AKS, Storage, Key Vaults, Azure SQL or equivalent)
• Hands-on experience designing and operating workflow-driven systems (orchestration, retries, timeouts, and state management)
• Experience integrating Machine Learning, Neural Networks or LLMs into enterprise applications and workflows
• Familiarity with OCR, NLP and computer vision technologies
• Comfort operating across a globally distributed engineering organization spanning multiple regions and cultures

Here are some of our local benefits:

About the role:

As a trusted partner for intelligent automation, we solve highly complex problems for our enterprise customers and put their information to work to transform the way they do business. Innovation and excellence run through our veins, and you'll work with experts who are creating market-leading technologies, using Machine Learning, Artificial Intelligence, and an advanced, sophisticated tech stack.

We are seeking a skilled Staff Software Engineer to drive the modernization and evolution of our C++ Computer Vision library, including the development of new algorithms specifically for Intelligent Document Processing (IDP). This role focuses on deep technical expertise to deliver robust, high-performance Computer Vision solutions that support our product teams. Our extensive library incorporates algorithms from Classical Computer Vision, Machine Learning, Deep Learning, to cutting-edge Multimodal models. The ideal candidate will design and implement core library architecture while mentoring team members and collaborating across functions to ensure the long-term success of our vision technology. Strong experience with Computer Vision concepts and algorithms is highly valued.

Job Responsibilities:

Technical Leadership & Innovation

• Design and implement major architectural improvements to our C++ Computer Vision library
• Drive technical decisions for library modernization, scalability, and performance
• Establish technical standards and best practices for C++ development
• Lead implementation of critical algorithms and optimization initiatives
• Design robust error handling, testing, and verification systems
• Develop solutions for code quality, maintainability, and developer experience

Technical Mentorship & Collaboration

• Mentor senior and junior engineers on technical challenges
• Provide expert guidance on complex modernization implementations
• Drive adoption of modern C++ engineering best practices
• Facilitate technical knowledge sharing and design discussions
• Contribute technical insights to roadmap planning
• Elevate team capabilities through knowledge transfer

Architecture & Innovation

• Design and implement high-performance, memory-efficient algorithms
• Lead major refactoring and modernization initiatives
• Develop new Computer Vision algorithms focused on Intelligent Document Processing
• Establish patterns for cross-platform compatibility
• Implement advanced optimization techniques
• Design library architecture for internal product teams
• Ensure robustness and reliability of production systems

Job Requirements:

Education & Experience

• Bachelor's or Master's degree in Computer Science, Engineering, or related field
• 5+ years of software engineering experience
• Strong background in C++ development and cross-platform library design
• Cross-Platform experience in at least a couple of platforms: Windows, Linux, Mac
• Experience building and maintaining production-grade software systems

Technical Expertise

• Deep knowledge of modern C++
• Expertise in software architecture and design patterns
• Strong understanding of Computer Vision and Machine Learning algorithms and techniques
• Experience with performance optimization and profiling
• Knowledge of low-level system programming considerations
• Background in building maintainable, well-tested software components

Technical Leadership & Communication

• Experience technically guiding a team and mentoring engineers on technical challenges
• Track record of driving architectural and design decisions
• Strong team collaboration and communication skills
• Ability to work effectively across technical teams
• History of solving complex engineering problems

This role offers the opportunity to shape essential Computer Vision technology while growing technical leadership skills. The ideal candidate will combine deep C++, Computer Vision and ML expertise with the ability to implement complex technical solutions and mentor others.

Here are some of our local benefits:

About the role:

ABBYY is seeking an HR Systems Analyst to design, optimize, and scale systems that power the global employee lifecycle. This role sits at the intersection of People, Data, and Operations, ensuring a seamless, data-driven employee experience. 

You will own and integrate our core People tech stack (HiBob, Greenhouse, SharePoint, Power BI), transforming them into a unified, efficient system that drives automation, accuracy, and insight across the organization. 

Job Responsibilities: 

HR Systems Ownership

• Manage and optimize HiBob, Greenhouse, and related tools  

• Ensure data integrity, security, and system performance  

• Drive adoption and continuous improvement  

Workflow & Automation

• Design scalable workflows across hiring, onboarding, employee changes, and offboarding  

• Automate processes using Power Automate and native tools to reduce manual work  

Systems Integration

• Own integrations across HR, Finance, and IT systems (e.g., payroll, NetSuite)  

• Manage APIs and data flows to maintain a single source of truth  

1. Data & Reporting

• Build Power BI dashboards for workforce insights  

• Track key metrics (hiring, headcount, attrition, performance)  

• Deliver actionable insights to leadership  

1. Process Standardization

• Translate business needs into scalable system solutions  

• Establish global standards while supporting local flexibility 

Job Requirements:

• 4–7+ years in HRIS / People Systems roles  

• Experience with HiBob (or similar HRIS) and Greenhouse (or ATS)  

• Strong skills in SharePoint, Power BI, and workflow automation  

• Experience with APIs, integrations, and data pipelines  
• Proficiency in Excel; SQL preferred  
• Strong problem-solving and system-thinking mindset 

Here are some of our local benefits:

Position Overview

Lead the Future of GRC (Governance Risk & Compliance) Technology!

We’re looking for a strategic technical leader with a track record of building great teams, delivering scalable systems, and transforming engineering organizations. If you thrive in complex problem spaces, love building world-class platforms, and want to play a key role in our AI-native transformation, we want to talk to you. 

Key Responsibilities

• Build high-performing, AI-enabled teams that deliver real value fast—especially within our Budapest Global Center for Product Innovation
• Lead engineering for one or more of our strategic products, driving design, delivery, and quality across multiple agile teams
• Architect for the future: Define technical strategy, system architecture, and integration of AI/ML-powered components
• Champion engineering best practices—from design and security reviews to continuous delivery and reliability
• Infuse AI into the product: Identify, prioritize, and implement opportunities for machine learning, NLP, and intelligent automation
• Be a cultural builder: Create a space for innovation, ownership, and continuous learning
• Partner across disciplines—Product, Design, Data Science—to deliver high-impact outcomes
• Ensure ethical, secure, and privacy-conscious implementation of AI and data capabilities
• Inspire through leadership: Mobilize the team in moments that matter, from solving critical customer issues to celebrating key wins
• Contribute to company-wide strategy and help shape the future of Diligent's global technology organization 

Requiered Experiences/Skills

• 7+ years of engineering leadership experience, including multiple years building SaaS products
• A strong track record of scaling products and teams, especially in fast-moving, innovative companies
• Passion for mentoring engineering leaders and building inclusive, high-performance cultures
• Deep familiarity with modern cloud-native architecture
• Experience with AI/ML platforms and integrating AI into customer-facing products
• Understanding of AI ethics, data governance, and responsible AI principles
• Proven success in leading agile delivery at scale and fostering DevOps/SRE mindsets
• Sharp business instincts, with the ability to collaborate cross-functionally and drive product strategy
• Excellent communication and influence skills at executive and organizational levels 

#LI-Hybrid

Position overview:

We’re looking for a Software Engineering Manager who blends technical depth with product intuition — someone who doesn’t just deliver features, but cares deeply about how they work, feel, and perform. 

You’ll lead a cross-functional engineering team modernizing one of the world’s most trusted governance, risk, and compliance platforms as we move forward to the direction of the AI native software development. 

This is not a pure “people manager” or “ticket shepherd” role. We’re looking for someone who: 

• Enjoys getting close to the product, collaborating daily with Product and UX to craft exceptional user experiences. 

• Brings a QA mindset — cares about stability, edge cases, and how things actually behave in users’ hands. 

• Thrives in uncertainty and isn’t afraid to explore new paths or challenge assumptions. 

• Wants to lead by example and elevate the team — technically, culturally, and strategically. 

Key Responsibilities 

• Lead and grow a cross-functional engineering team, combining developers and QA engineers into a high-performing unit with shared accountability for quality and delivery. 

• Collaborate closely with Product Managers and Designers to shape features from ideation to delivery — focusing on usability, performance, and customer value. 

• Raise the engineering bar through thoughtful code reviews, mentoring, and continuous improvement practices. 

• Drive technical direction: influence architecture, cloud strategy, observability, and test automation approaches. 

• Cultivate quality ownership: partner with QA to evolve testing frameworks, increase automation coverage, and make quality everyone’s responsibility. 

• Leverage AI and automation to remove friction from development, testing, and operations — identifying opportunities for intelligent tooling and integration. 

• Champion responsible AI practices, ensuring transparency, explainability, and control in every AI-assisted capability. 

• Foster a culture of curiosity and experimentation — encouraging engineers to prototype, measure, and iterate rapidly. 
• Contribute hands-on when needed (code reviews, architecture discussions, proof-of-concepts) while empowering your team to own their solutions. 

What You’ll Bring 

• 7+ years of professional software engineering experience, including 3+ years in a people management role. 

• A solid technical foundation — comfortable discussing system design, code quality, and architectural trade-offs. 

• A product-focused mindset — you think in terms of user impact and aren’t satisfied until the experience feels right. 

• Strong experience leading teams in agile environments, balancing delivery speed with technical quality. 

• Experience with modern development practices: CI/CD, trunk-based development, infrastructure-as-code, etc. 

• Understanding of QA practices and automation, and an appreciation for testing as a first-class citizen in software development. 

• Familiarity with AI/ML concepts and curiosity about practical applications (you don’t need to be a data scientist, but you should know what’s possible). 

• Excellent communication skills — you can translate between product, design, and engineering worlds effortlessly. 

Preferred Experience 

• Hands-on background in .NET, Angular, Python or Node.js 

• Experience with Cloud (AWS/Azure/GCP), CICD, DevOps, SQL/NoSQL databases 

• Use of AI-assisted developer tools such as Copilot, CodeWhisperer, or automated code review systems. 

• Track record of shipping high-quality, user-centered products. 

• A natural drive to push boundaries, learn fast, and make others better around you. 

#LI-Hybrid

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 programing 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.

We are currently looking for a well-versed (Senior) Data Scientist to join the team to deliver consulting expertise our EMEA and US-based customers.

What (exactly) will you do?

As a (Senior) Data Scientist, your responsibilities will span across the following dimensions:

Project Planning & Delivery

In the planning phase of a project, you're expected to lead or participate in scoping the engagement, designing high-level architecture, defining subtasks, and project delivery schedules. After the planning phase is over, you'll deliver the project on your own or within a mixed DS/DE team setup where you'll oftentimes take the role of a technical lead. Furthermore, during the project delivery, you will be client-facing, acting as DATAPAO's interface or SPOC to our customers.

During non-delivery cycles, you will provide ML/DS consultancy to technical teams for our EMEA customers. Our customers are either direct DATAPAO customers or coming via our Databricks partnership.

Data Science & AI consultancy

As a consultant, you will work closely with Databricks and cloud providers to understand the needs and requirements of clients. Based on your understanding, you will recommend solutions that leverage Databricks or native cloud features. Additionally, you will be responsible for conducting workshops to enable clients on these platforms.

Internal Solution Development

Besides customer projects, you’ll also work on internal solution development and research initiatives. Furthermore, you will be expected to grow your industry-specific knowledge and learn new technologies & methodologies by participating in the Data Science Group and by delivering solutions for internal usage.

Wider Organizational Initiatives

Occasionally, you can participate in developing Data Science and Machine Learning courseware (for our Education arm) to be delivered to customers or internal teams. You could also add value by providing technical (pre-sales) support for our Sales Team or creating content for marketing and sales.

Last but not least, if you would like to and have the required people skills, you can mentor other members of the data science guild. This includes regular tech mentorship meetings, one-on-ones, knowledge sharing sessions, and participation in performance reviews among others.

What does it take to fit the bill?

Soft Skills

Tech Skills

• Solid software engineering foundations (git, clean code principles, OO programming, etc.);

What do we offer?

• Flexible PTO and Working Hours - we’re flexible about your working routine and how many days you take off if it does not conflict with customer success, company goals, and getting the work done.

• Flexible Office - it is up to you which days you spend in the office. However, as a strong community is one of DATAPAO's value propositions, we’d expect you to spend one day per week in the office on average. 

• 30 Calendar Days of Paternity Leave (if applicable) - we think it’s essential for both parents to be there when it matters the most. 

• Private Medical Insurance - we provide a private medical package via Generali. Employee Assistance Program (EAP): Through EAP, we offer our employees access to psychological, financial, and legal consulting services via phone or in person.