--- title: 'Machine Learning Engineer at Graham Capital Management, L.P.' canonical: 'https://feeny.ai/job/machine-learning-engineer-graham-capital-management-l-p-london-england-zs9prx75sm60' type: 'job' last_seen: '2026-09-13' --- # Machine Learning Engineer at Graham Capital Management, L.P. - **Company:** Graham Capital Management, L.P. - **Location:** London England, United Kingdom - **Posted:** 2026-05-13 - **Last confirmed live:** 2026-09-13 - **Apply:** https://boards.greenhouse.io/grahamcapitalmanagement/jobs/4693961005?gh_jid=4693961005 ## Job description Graham Capital Management, L.P. (collectively with its affiliates, "Graham") is an alternative investment manager founded in 1994 by Kenneth G. Tropin. Specializing in discretionary and quantitative macro strategies, Graham is dedicated to delivering strong, uncorrelated returns across a wide range of market environments. As one of the industry’s longest-standing global macro and trend-following managers, Graham remains committed to innovation, evolving its strategies through a robust investment, technology, and operational infrastructure. Graham harnesses the synergies between its discretionary and quantitative trading businesses to offer a broad suite of complementary alpha strategies, each built on the principles of thoughtful portfolio construction, active risk management, and diversification by design. Graham invests significant proprietary capital alongside its clients – including global institutions, endowments, foundations, family offices, sovereign wealth funds, investment management advisors, and qualified individual investors – reinforcing alignment of interests across all strategies. The foundation of Graham’s sustainability and success is the experience and contributions of its people. The firm seeks to cultivate talent, encourage the diversity of ideas, and respect the contributions of all. In turn, each employee shares in the responsibility of strengthening those around them. Description Graham Capital Management, L.P. is seeking a ML Engineer to join our Data Science team, a future-looking technical arm of Graham Capital. We envision, design, prototype and implement the processes that feed Quantitative Research and Discretionary Trading teams as well as the broader firm. We are passionate about what we do and welcome every opportunity to prove it. The Data Science department straddles traditional Data Science and Engineering roles as well as the application of Machine Learning & AI. We work closely with Quant Researchers, Portfolio Managers, Operations and Execution to continuously improve upon our offering. Every day we work to transform our business through data, technology, and the insights we provide our stakeholders. At Graham Capital, our systems feed live models around the clock, span billions of market data ticks, an ever-increasing corpus of news and other texts as well as a broad spectrum of financial and alternative data. Our objective is to support the research process by providing our stakeholders with all the right pieces to succeed in their jobs. ## Responsibilities You will be part of a growing team within Data Science. You will work alongside world-class talent to find innovative solutions to some of the most interesting problems on the buy-side. You will work closely with other areas such as Technology, Quantitative Research and Portfolio Manager groups as well as Risk and Operations to learn about problems they face with respect to data and ultimately develop cutting edge solutions. Your focus will be to dive deep into multiple data sets to understand relationships, develop time series, forecasting models, and support quant strategies, and provide new insights and leverage state-of-the-art machine learning and advanced statistical methods to produce the best data sources for the fund. ## Requirements - Undergraduate or higher degree in Computer Science, Engineering, Operations Research, or other quantitative discipline - 3+ years of hands-on experience with Machine Learning and Statistics on large, unstructured, data sets - Experience writing production code for multi-client systems serving model results is a great plus - Ability to clearly communicate research findings to technical and nontechnical stakeholders - Full-stack experience with Python (preferred) or C++, Spark/Scala, SQL or other distributed data processing technologies as well as experience working comfortably building and deploying services and models in containerized environments - Experience with scientific computing, statistics, optimization, time series, panel data, etc. - Comfortable handling multiple projects to solve varied problems working with multiple teams - Detail-oriented mindset - Sense of ownership of his/her work, working well both independently as well as collaboratively This role requires commuting into our London office Mondays through Fridays. ## About Graham Capital Management, L.P. ## Company Overview - **One-liner**: Graham Capital Management is a global alternative investment firm that manages macro trading strategies by combining quantitative and discretionary approaches to generate alpha for institutional and private wealth clients. - **Entity Type**: Private (established hedge fund; funded by proprietary capital and reinvested profits; no external venture funding) - **Headquarters**: Rowayton, Connecticut, USA (with offices in New York City, West Palm Beach, Florida, and London, UK) - **Founded**: 1994 - **Founders**: Kenneth G. Tropin (Chairman and Founder) ## Core Business - **Primary industry/industries**: Alternative asset management / Hedge funds / Macro trading - **Target customers**: Institutional investors (pension funds, endowments, foundations) and private wealth partners (B2B, institutional) - **Mission or purpose statement**: To help clients meet their unique portfolio objectives through thoughtful risk management, investment, and governance frameworks with a high level of transparency. ## Products & Services - **Quantitative Macro Strategies**: Systematic, data-driven trading strategies that process large datasets to detect signals and patterns; managed by the firm’s quantitative research team. - **Discretionary Macro Strategies**: Multi-portfolio manager discretionary macro funds where individual portfolio managers trade their views within a disciplined risk management framework. - **UCITS-Compliant Funds**: Regulated investment vehicles for European investors. - **‘40 Act Mutual Funds**: Sub-advised mutual funds for US retail and institutional investors. - **Risk Management Services**: A robust framework including daily Risk Committee meetings, real-time monitoring, and proprietary risk tools. ## Market Standing - **Valuation/Market Cap**: Not applicable (private firm). Latest AUM: **$21 billion** (as of April 1, 2026). - **Key Metric**: **$21 billion in AUM** (includes significant proprietary capital and ongoing investment in the firm). - **Notable Investors/Partners**: Global institutions and private wealth partners; signatory to PRI and SBAI; regulated by the SEC. - **Growth Signals**: 30+ years of continuous operation; expanded to offices in Florida and London; launched multi-portfolio manager discretionary macro funds; average employee tenure of ~8 years; half of employees have been with the firm for over 5 years. ## Competitive Advantages - **Three decades of macro trading experience** (founded in 1994) with a proven track record. - **Unique synergy of quantitative and discretionary trading** under one roof, enabling complementary alpha strategies and diversification by design. - **Deep risk management culture** with daily Risk Committee meetings and real-time monitoring at portfolio, strategy, and position levels. - **Strong retention and institutional knowledge**: Investment Committee members average 15 years at the firm; overall employee average tenure is ~8 years. ## Strategic Focus - **Innovation**: Continuously evolving trading strategies, portfolio construction, and risk management techniques. - **Collaboration**: Encouraging open communication across departments to share ideas and expertise in the pursuit of alpha. - **Client alignment**: Maintaining fiduciary responsibility with high transparency and a governance framework that prioritizes client objectives. - **Sustainability**: Becoming a PRI signatory and integrating ESG considerations into investment processes. ## Why Work Here - **Collaborative and inclusive culture**: Flat management structure, cross-departmental collaboration, and an open forum for sharing ideas. - **Professional development**: Management training, mentorship programs, educational seminars, “Lunch and Learns” with senior management, and an internal technology platform for knowledge sharing. - **Comprehensive benefits**: Medical, vision, dental insurance; paid vacation; parental leave with return-to-work program; 401K; educational assistance; competitive salary and bonus. - **Wellness amenities**: Onsite fitness facility with personal training, group classes, meditation room; onsite dining; social events (summer barbecues, happy hours). - **Work environment**: Scenic campus in Rowayton, CT (suburb of NYC); additional offices in New York, West Palm Beach, and London. Many team members live in New York or Fairfield County. - **Strong retention**: Half of employees have been with Graham for over 5 years, reflecting positive culture and career growth. - **Internship program**: Fully integrated interns work on independent and team projects, with many converting to full-time roles. ## Sources 1. [Graham Capital Management Home](https://www.grahamcapital.com/) 2. [Graham Capital Management Careers](https://www.grahamcapital.com/careers/) 3. [Graham Capital Management About Us](https://www.grahamcapital.com/about-us/) 4. [Graham Capital Management People and Culture](https://www.grahamcapital.com/people-and-culture/) 5. [Graham Capital Management LinkedIn](https://www.linkedin.com/company/graham-capital-management) ## Other roles at Graham Capital Management, L.P. - [HR Professional and Office Manager](https://feeny.ai/job/hr-professional-and-office-manager-graham-capital-management-l-p-yeveran-p59h2vz0mqqm) — Yeveran, Armenia - [Manager, Financial Planning and Trader Compensation](https://feeny.ai/job/manager-financial-planning-and-trader-compensation-graham-capital-management-l-21tjsesqhajk) — Norwalk Connecticut, United States - [Middle Office Software Developer](https://feeny.ai/job/middle-office-software-developer-graham-capital-management-l-p-norwalk-brr8nx5zfmva) — Norwalk Connecticut, United States - [AI / ML Quantitative Research Manager](https://feeny.ai/job/ai-ml-quantitative-research-manager-graham-capital-management-l-p-london-england-84pkb4qwkns2) — London England, United Kingdom / New York New York, United States / Norwalk Connecticut, United States - [Quantitative Research Manager](https://feeny.ai/job/quantitative-research-manager-graham-capital-management-l-p-london-england-78jd27gwyw8j) — London England, United Kingdom / New York New York, United States / Norwalk Connecticut, United States / West Palm Beach Florida, United States - [Quantitative Research Analyst](https://feeny.ai/job/quantitative-research-analyst-graham-capital-management-l-p-london-england-nn2tbf3kfqmw) — London England, United Kingdom / New York New York, United States / Norwalk Connecticut, United States / West Palm Beach Florida, United States - [Machine Learning Engineer](https://feeny.ai/job/machine-learning-engineer-yuno-europe-qk68kdrz5rgw) — Europe - [Machine Learning Engineer](https://feeny.ai/job/machine-learning-engineer-pangram-labs-brooklyn-e3hhh2tc2855) — Brooklyn, NY - [Machine Learning Engineer](https://feeny.ai/job/machine-learning-engineer-gatik-ai-santa-clara-qj4vvbdeqt4x) — Santa Clara, CA - [Machine Learning Engineer](https://feeny.ai/job/machine-learning-engineer-wynd-labs-remote-whe42v314npy)