
Winton · London
ABOUT WINTON Winton is a research-based investment management company with a specialist focus on statistical and mathematical inference in financial markets. T...
Winton is a research-based investment management company with a specialist focus on statistical and mathematical inference in
financial markets. The firm researches and trades quantitative investment strategies, which are implemented systematically via
thousands of securities, spanning the world's major liquid asset classes. Founded in 1997 by David Harding, Winton today manages
assets for some of the world’s largest institutional investors.
We employ ambitious professionals who want to work collaboratively at the leading edge of investment management.
We seek an experienced and talented quantitative developer to join the Investment Management & Research group at Winton. The role
sits within our Fundamental Commodities strategy and will work closely with the Senior Portfolio Manager. You will work within a
collaborative quantitative research environment to design and implement trading systems and tools that support the firm’s trading
and research capabilities.
We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex,
sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or
any other applicable legally protected characteristics.
ABOUT US Engelhart was founded in 2013 by BTG Pactual Group as a commodities trading company. Our business model is “asset light” and highly diversified – giving us the ability to adapt effectively and nimbly to changing market conditions. We have assembled successful multidisciplinary teams, leveraging advanced fundamental analysis with deep quantitative and weather research capabilities. Our activities are underpinned by strong risk management practices and by powerful technology and operational excellence. We have exceptional teams with diverse global backgrounds and decades of experience, and are driven by a highly collaborative culture, across products and competencies. In 2024, Engelhart acquired Trailstone, a global energy trading and technology company. The acquisition provides us with new expertise, analytics and proprietary technology which is being used to provide risk management and optimisation services to help maximise the value of our clients’ renewable power. The acquisition also expanded Engelhart’s capabilities into physical natural gas across North America, a critical fuel to support the energy transition. Our talented and experienced individuals work together according to its four company values: Performance, Agility, Collaboration, Entrepreneurship. ABOUT THE ROLE Our team runs systematic trading strategies in short-term power markets around the world. In many countries, trading algorithms are central to how intermittent renewable power generation gets integrated into the grid - the liquidity and price signals we provide are part of what makes the renewables transition work. This role offers a unique blend of technical challenge and societal impact, providing you with end-to-end exposure to the full algorithmic trading value chain. This spans systems development for automated trading, machine-learning operations, dev-ops, backtest technology, data engineering and dashboarding. Within this broad purview, your primary focus will be platform development and technical operations. This position is based in our Berlin office, and will be tasked with the following responsibilities: * Build and operate python-based trading stack for continuous / day-ahead power: signal generation, backtesting, execution logic etc. * Contribute to developing optimised data solutions that allow for low latency (seconds) data retrieval. * Productionise and monitor live trading algos. * Apply software development best practices to design scalable, robust and testable systems. * Work closely with quant researchers, traders and risk teams to turn ideas into deployed strategies. * Support the expansion of the business into new areas. * Engage in exciting technical challenges, including performance optimisation, cloud-native application development and the creation of versatile reporting and visualisation frameworks. ABOUT YOU You’re an engineer who wants their code running in production against live markets, not sitting in notebooks. You care about correctness and reliability because the cost of a bug is real. Domain experience in power or energy markets is a plus, not a requirement. We value diversity of thought and encourage applications from individuals with varied backgrounds and experiences. As a result, we believe the following background and acquired knowledge will best set this individual up or success: * A minimum of 2 years of experience as a Python developer. * Strong software engineering fundamentals: OOP and functional patterns, modular loosely coupled design, a solid grasp of data structures and algorithms. * Proficiency with software engineering best practices for version control, code review, testing, documentation and CI/CD. * Excellent communication skills, strong team orientation and a drive for operational excellence. * Experience testing and productionising quantitative models (e.g., models relating to prediction, optimization, uncertainty quantification or performance attribution) In addition to the above, the following skills are not necessary for application, though highly advantageous for this role: * Experience in a software engineering and/or data science role, within financial service companies or energy trading companies. * Experience with Python’s scientific libraries, e.g., numpy, pandas, scikit-learn, polars. * Experience with time-series databases, Airflow and deploying containerised applications as cloud services. * Experience with at least one statically typed programming language. * SQL proficiency. WHAT WE OFFER * Competitive compensation and participation in Engelhart’s discretionary bonus plan. * 28 days of annual holiday entitlement plus Berlin public holidays. * €3,000 per year contribution to a private pension scheme on your behalf. * €20 monthly subsidy towards BVG tickets. * €25 monthly subsidy towards ClassPass membership. * A subsidy for German language courses to help you immerse yourself in the local culture. * A sociable working environment with an open, international culture. We believe in inclusivity and are therefore dedicated to ensuring all employees – across gender identity, race, ethnicity, sexual orientation, religion, life experience, background and more – feel welcome and included in the company. We promote diversity because we believe it is essential to our ability to think holistically.
ABOUT US Engelhart was founded in 2013 by BTG Pactual Group as a commodities trading company. Our business model is “asset light” and highly diversified – giving us the ability to adapt effectively and nimbly to changing market conditions. We have assembled successful multidisciplinary teams, leveraging advanced fundamental analysis with deep quantitative and weather research capabilities. Our activities are underpinned by strong risk management practices and by powerful technology and operational excellence. We have exceptional teams with diverse global backgrounds and decades of experience, and are driven by a highly collaborative culture, across products and competencies. In 2024, Engelhart acquired Trailstone, a global energy trading and technology company. The acquisition provides us with new expertise, analytics and proprietary technology which is being used to provide risk management and optimisation services to help maximise the value of our clients’ renewable power. The acquisition also expanded Engelhart’s capabilities into physical natural gas across North America, a critical fuel to support the energy transition. Our talented and experienced individuals work together according to its four company values: Performance, Agility, Collaboration, Entrepreneurship. About the Role We have a new opportunity for a technically strong Quantitative Developer to join our growing Global Oil desk in the London office. This role sits at the intersection of data engineering, quantitative research and trading, with direct exposure to PnL-driven decision-making. We will provide direct and hands-on mentorship from senior quants and portfolio managers, offering the opportunity to gain insights into hedge fund data strategy and macro trading. The successful candidate will play a key role in building and optimising data infrastructure that supports investment decisions, while developing a strong commercial understanding of financial markets at desk. This will be a full-time role, owning the following responsibilities: * Assisting with the design and implementation of scalable architectures for large time-series datasets (market, economic and alternative data). * Developing and maintaining data pipelines to ingest, clean, and store structured and unstructured datasets. * Improving and optimising data querying, storage formats and indexing to enable efficient analysis. * Managing and enhancing database environments, ensuring high performance and reliability. * Working closely with portfolio managers and traders to ensure data is actionable and aligned with commercial needs. * Identifying opportunities to extract commercial value from data, not just collecting it. * Contributing to data standards, documentation and automation of workflows. * Supporting the development of tools and datasets that directly impact trading strategies and PnL. About You This person will gain direct exposure to real-world trading and macro strategy, collaborating closely with experienced quants and traders. As a result, we believe the following background of experiences and skills will best set up this person for success: * A recent degree in Computer Science, Data Science, Engineering or a related quantitative discipline. * Experience working on market modelling, quantitative research or data-heavy projects (academic or professional). * An understanding of time-series data structures, databases and processing techniques. * Prior exposure to a bank, trading house, hedge fund or physical trading environment is advantageous. * Any trading experience or strong market interest is highly valued. In addition, the following technical skill set will be complimentary: * Experience with SQL and Python. * An understanding of libraries such as pandas, NumPy or similar. * Familiarity with time series databases (e.g., kdb+, InfluxDB, TimescaleDB) is a plus. * Knowledge of cloud-based data solutions (AWS, Azure, GCP) is preferred. What we offer * Competitive compensation and participation in Engelhart’s discretionary bonus plan. * 25 days of annual holiday entitlement, excluding UK public holidays. * Robust benefits package such as medical, dental, life insurance, generous pension contribution, and supplemental benefits partially subsidised by the Company. * Eligibility to receive external and internal training in accordance with our Training & Development Policy. We believe in inclusivity and are therefore dedicated to ensuring all employees – across gender identity, race, ethnicity, sexual orientation, religion, life experience, background and more – feel welcome and included in the company. We promote diversity because we believe it is essential to our ability to think holistically.
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. We are looking for a senior C++ developer with proven experience supporting HFT. Your future role within QRT * You’ll play a pivotal role in enhancing the QRT market access systems, to meet the demands of low latency and high frequency trading * You’ll work closely with the traders, researchers to understand the requirements and provide timely feedbacks and solutions * You’ll work closely with Linux admin and network engineers, for optimal system set up and deployment * You’ll work with exchanges and external vendors, to fully grasp the end-to-end flow and explore any potential improvements in time to market * You’ll be part of the QRT Market Access team, enhancing and maintaining existing systems, that cover all main global markets and various asset classes including Equities, Derivatives, FX, Fixed Income, Commodities and Options Your present skillset * Expert skills in C++ and Linux platform. * Proven experience in low latency optimization and tuning techniques. * Proven experience in market access systems at a financial institution. * Existing experience in Asia markets desirable * Good knowledge of financial products desirable. * Strong communication and interpersonal skills 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. #LI-DNI