--- title: 'Quantitative Developer at Engineers Gate' canonical: 'https://feeny.ai/job/quantitative-developer-engineers-gate-london-mk3jtv614n56' type: 'job' last_seen: '2026-10-13' --- # Quantitative Developer at Engineers Gate - **Company:** Engineers Gate - **Location:** London, United Kingdom - **Posted:** 2026-09-25 - **Last confirmed live:** 2026-10-13 - **Apply:** https://job-boards.greenhouse.io/engineersgate/jobs/8233715 ## Job description Engineers Gate is a leading quantitative investment firm focused on systematic trading in global financial markets. Our team of researchers, developers, and financial industry professionals apply sophisticated statistical and machine learning models to uncover predictive signals in data and turn them into superior investment returns. We believe that career fulfilment and enterprise success converge when smart, hard-working, and intellectually curious people come together in pursuit of innovation and excellence. The Quantitative Developer will join our London Portfolio Management group and play a key role in building and scaling its central infrastructure. The work spans greenfield projects as well as enhancing and refactoring existing systems, offering immediate group-wide impact and exposure to every area of the trading system and research platform. We place a high value on continuous learning, and this role is a rare opportunity to work alongside and learn from highly experienced quantitative developers and researchers in a collaborative and innovative group. A successful candidate will combine strong numerical and engineering skills with a genuine appetite for learning new technologies. They will be comfortable working independently from high-level guidance. If you thrive in a collaborative environment, follow best practice across the full software development life cycle, and want to make a meaningful impact, we encourage you to apply. ## Key Responsibilities - Build, maintain, and monitor the existing live trading infrastructure. - Develop and enhance the research platform and analytics tooling. - Collaborate with researchers to bring new trading strategies into production. Required Skills, Qualifications and Experience - Undergraduate degree in Computer Science or a related STEM discipline. - Production-level software engineering experience in a high-quality, technology-driven environment. - Solid understanding of algorithms, software architecture, design patterns, and software engineering best practices. - Proficiency in at least one modern programming language (e.g. Python, C++, Java). - Strong numerical reasoning and problem-solving skills, with the ability to work comfortably with quantitative and scientific problems. Desirable Skills and Experience (beneficial but not required) - Experience with Python and/or MATLAB for numerical and scientific computing. - Familiarity with AI-assisted development tools. - Experience working with machine learning and quantitative research workflows. - Exposure to cloud platforms, especially AWS ## About Engineers Gate ## Company Overview - **One-liner**: Engineers Gate is a quantitative investment company that uses computer-driven trading and advanced data science to generate superior returns in global financial markets. - **Entity Type**: Private - **Headquarters**: New York City, USA (with offices in Boston, London, Singapore, and Hong Kong) - **Founded**: 2014 - **Founders**: Glenn Dubin ## Core Business - **Primary industry/industries**: Investment Management / Quantitative Finance / Hedge Funds - **Target customers**: Institutional investors (via private funds) and proprietary trading operations — predominantly B2B. - **Mission or purpose statement**: “Implement scientific and mathematical methods to explore, isolate, and solve problems in the global financial markets” — with a core belief that systematic, research-driven strategies will outperform over time. ## Products & Services - **Hedge Funds / Multi-Strategy Investment Platform**: The firm manages several private investment funds that combine systematic and selective discretionary approaches. Investment teams pursue independent strategies while leveraging shared infrastructure, risk management, and a proprietary data platform. - **Quantitative Trading & Research**: In-house teams research and execute computer-driven strategies across equities, futures, and other asset classes, covering full trading lifecycles (alpha research, signal generation, portfolio construction, execution, risk management). ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed (private company). - **Key Metric**: **Assets Under Management (AUM)** — approximately **US$4 billion** (as of 2025). The firm also raised an estimated **$300 million in total funding** per LinkedIn (though some sources list this as total capital raised; AUM is the more standard metric). - **Notable Investors/Partners**: Not publicly detailed. The firm operates as a Registered Investment Advisor (SEC) and Commodity Pool Operator (CFTC), with key leadership including **CEO Greg Eisner**. - **Growth Signals**: - Headcount grew **49% year-over-year** to **187 employees** (LinkedIn, 2025); Wikipedia reports 179 employees in 2025. - Opened an office in Singapore in May 2024, expanding Asian presence. - Actively hiring for quantitative researchers, engineers, and operational roles across New York, London, Hong Kong, and Singapore. ## Competitive Advantages - **Quantitative & Technology Moat**: Deep integration of proprietary statistical models, machine learning, and a centralized data platform gives a persistent edge in signal discovery and execution. - **Multi-Manager Model**: Allows independent investment teams to operate with autonomy while sharing best-in-class infrastructure, risk management, and operational support — attracting top talent. - **Culture of Collaboration & Rigor**: The firm’s emphasis on open idea exchange, intellectual curiosity, and a “friendly but challenging” environment differentiates it from larger, more bureaucratic asset managers. - **Talent Density**: Team composed of researchers, engineers, and financial professionals from top academic and industry backgrounds (e.g., math, physics, computer science, and prior quant trading experience). ## Strategic Focus - **Multi‑Strategy Expansion**: Continuing to build a diversified platform that scales both systematic and discretionary strategies across global markets. - **Technology & Data Leadership**: Investing in proprietary infrastructure to stay ahead of market microstructure changes and emerging data sources. - **Talent Acquisition**: Aggressively recruiting quantitative researchers, engineers, and portfolio managers to support growth, especially in US, Europe, and Asia. - **Risk Management & Alignment**: Maintaining a patient, disciplined approach to capital allocation with strong alignment between the firm, its investment teams, and its investors. ## Why Work Here - **Culture**: Collaborative, intellectually curious, and open — described as “as intellectually rewarding as life in academia and as inventive and dynamic as working at a start-up technology firm.” - **Work‑Life Balance & Benefits**: “Superb benefits” including fully covered medical, dental, and vision insurance, generous vacation and personal days. The firm also supports social and philanthropic causes. - **Remote/Hybrid Policy**: Most roles are based in office hubs (NYC, London, Singapore, Hong Kong), though some positions (e.g., U.S.‑based telecommuting roles) allow remote work. The firm explicitly touts flexibility for certain roles. - **Engineering & Research Environment**: Emphasis on open‑source style sharing of ideas, use of state‑of‑the‑art tools (Python, ML/DL frameworks, large‑scale data pipelines), and exposure to full trading lifecycle. ## Sources 1. [Engineers Gate – Official Site](https://www.eglp.com/) 2. [Engineers Gate – Wikipedia](https://en.wikipedia.org/wiki/Engineers_Gate) 3. [Engineers Gate – LinkedIn](https://www.linkedin.com/company/engineers-gate) 4. [Careers – Greenhouse (Open Positions)](hhttps://boards.greenhouse.io/engineersgate) 5. 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