--- title: 'Forward Deployed Engineer at BlueCrest Capital Management' canonical: 'https://feeny.ai/job/forward-deployed-engineer-bluecrest-capital-management-london-hq9vgtp0br5s' type: 'job' last_seen: '2026-10-16' --- # Forward Deployed Engineer at BlueCrest Capital Management - **Company:** BlueCrest Capital Management - **Location:** London, United Kingdom - **Posted:** 2026-10-08 - **Last confirmed live:** 2026-10-16 - **Apply:** https://job-boards.greenhouse.io/bluecrestcapitalmanagement/jobs/8016707003 ## Job description Department Overview: The AI Team, part of Front Office Technology, builds the governed foundation for AI across the firm: secure access to firm data and knowledge, standard tooling, reusable AI services, and the controls that let AI be used safely in a regulated trading environment. Our model is simple. Pods build close to the problem, Technology provides the paved road, and successful applications graduate into formal Technology ownership as they grow in importance. The AI Team, part of Front Office Technology, builds the governed foundation for AI across the firm: secure access to firm data and knowledge, standard tooling, reusable AI services, and the controls that let AI be used safely in a regulated trading environment. Our model is simple. Pods build close to the problem, Technology provides the paved road, and successful applications graduate into formal Technology ownership as they grow in importance. ## Key Responsibilities Embedded delivery - Scope pod use cases that need engineering build, working directly with PMs, traders and quants. - Build production-grade applications using AI-assisted development (e.g. Claude Code) on the firm’s standard AI tooling: templates, CI/CD, the Institutional Knowledge Layer, MCP services and shared libraries. Engineering standards in the pod - Pair with pod developers on live builds, sharing good practice in design, code review, testing and safe use of agentic coding tools. - Leave the pod able to extend and maintain what has been built, rather than dependent on you. Shared capability and reuse - Turn repeated pod requirements into reusable MCP servers, skills, agents and templates, available for use across the firm. - Feed engineering gaps and requirements directly into the team’s roadmap. Governance and graduation - Build entitlements, per-user identity, audit and evaluation into every solution from day one. - Take successful applications through graduation to Technology ownership, including evals, documentation and operational handover. Business outcomes - Assist in tracking the business impact of what you deliver: time saved, risk reduced, decisions supported. Key Competencies: You are an experienced engineer who is credible on a trading desk. You understand how PMs and traders work, speak their language, and are comfortable challenging requests in order to deliver what actually adds value. You build quickly with AI tools but hold yourself to production standards: tested, governed, maintainable and reviewable. You understand the limitations of LLMs and design around them rather than over-promising. You look beyond the immediate request, spotting when a pod’s problem is really a firm-wide one and building it once so others can reuse it. You are comfortable with ambiguity, take ownership, and measure success by business outcomes. Key Experience and Qualifications: The ideal applicant will have: Essential - 5+ years in software engineering, with strong Python and SQL. - Direct front office experience at a hedge fund or bank, working day to day with traders or PMs, ideally in Rates or Emerging Markets. - Hands-on experience building LLM applications: retrieval (RAG), tool use and agents, context engineering, and evaluation of output quality. - Heavy daily use of agentic coding tools, with a clear view of where they fail and how to review their output. - A track record of shipping production systems: APIs, containers, CI/CD and cloud (Azure or Kubernetes preferred). - The ability to turn loosely defined desk requests into scoped deliverables, and the confidence to push back when something should not be built. Desirable - Building MCP servers or similar tool integrations. - Market data and time-series work (e.g. Bloomberg, Snowflake). - Integrating where required with existing front office tooling and working effectively with the teams that support them. BlueCrest is committed to providing an inclusive environment for its workforce. As an employer, we provide equal opportunities to all people regardless of their gender, marital or civil partnership status, race, religion or ethnicity, disability, age, sexual orientation or nationality. ## About BlueCrest Capital Management ## Company Overview - **One-liner**: BlueCrest Capital Management is a global alternative asset manager, originally focused on fixed income macro trading, that now manages significant institutional assets across diversified strategies, primarily for its partners and employees after closing to external investors. - **Entity Type**: Private (limited liability partnership) - **Headquarters**: London, United Kingdom (with offices in Geneva, Jersey, Dubai, New York, Miami, and Singapore) - **Founded**: 2000 - **Founders**: Michael Platt and William Reeves (now retired) ## Core Business - Primary industry: Investment & Asset Management (Hedge Funds) - Target customers: Institutional investors (historically); currently focused on managing internal capital (partners and employees) - Mission/purpose: Not publicly stated; the firm prioritizes partner-aligned investing and technology-driven trading. ## Products & Services - **Multi-Strategy Investment Funds**: BlueCrest manages internal funds across fixed income macro, systematic trading, rates, equity index volatility arbitrage, emerging markets, and other strategies. - **Private Wealth Services**: Select portfolio administration and wealth management offerings for a limited client base. - **Technology & Quantitative Platforms**: In-house development of trading infrastructure, AI/ML models, cloud platforms, and quantitative research tools to support proprietary trading. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed (private partnership) - **Key Metric**: At its peak in 2013, BlueCrest had US$35.3 billion in global assets under management. Annual revenue is estimated between $13.4 million (Apollo estimate) and $100–500 million (Glassdoor self-reported). The higher range is more credible given the scale of the firm. - **Notable Investors/Partners**: The firm is fully owned and controlled by its principals. No external institutional investors currently. - **Growth Signals**: Active hiring (10+ open roles as of mid-2026, +25% monthly job posting growth); increasing investment in AI/cloud engineering; expansion of technology stack (Python, Kubernetes, Azure, Snowflake, Hugging Face, OpenAI). ## Competitive Advantages - **Talent Concentration**: Deep bench of alumni from top investment banks (Goldman Sachs, Morgan Stanley, UBS, Citi, Deutsche Bank, etc.) – 70 former Goldman Sachs employees currently at BlueCrest. - **Proprietary Technology**: Heavy internal tech investment with 91+ tools in stack, including AI, ML, cloud-native infrastructure, and quantitative platforms. - **Partner-Governed Structure**: Principals control the firm, aligning incentives and enabling long-term, high-risk strategies without external investor pressure. - **Global Presence**: Offices across major financial hubs (London, New York, Singapore, Geneva, Jersey, Dubai, Miami) providing 24/7 trading and operational coverage. ## Strategic Focus - **AI Transformation**: BlueCrest is actively hiring for AI Integration Lead, AI Cloud Platform Engineer, and AI Adoption SME roles, signaling a push to embed machine learning and LLMs across trading, risk, and operations. - **Technology Modernization**: Moving to cloud-native infrastructure (Azure, Kubernetes, Snowflake) and modern UI frameworks (Angular, React). - **Internal Capital Growth**: After returning external capital in 2015–2016, the firm focuses on growing the internal fund for partners and employees. ## Why Work Here - **Culture**: Described as “friendly team, nice people” by some employees on Glassdoor. The firm emphasizes intellectual rigor and risk-taking in trading. - **Work Environment**: Hybrid/office-based in major financial centers. Offices in London (Victoria/Belgravia), New York, Singapore, etc. - **Benefits & Perks**: Positive reviews mention good benefits and lunch provided. Compensation is competitive (industry-standard for hedge funds). - **Engineering Culture**: Strong emphasis on quantitative development, AI/ML, and modern infrastructure. Developers work directly with traders and quants. - **Glassdoor Ratings**: 3.0 out of 5 stars (based on 130 reviews); 46% would recommend to a friend; 52% approve of CEO. Reviews are mixed – some cite average interview difficulty (3/5) and decent work/life balance. ## Sources 1. [Greenhouse Jobs Page](https://job-boards.greenhouse.io/bluecrestcapitalmanagement) 2. [Apollo.io Company Profile](https://apollo.io) – revenue/employee data (note: may contain inaccuracies) 3. [LinkedIn Company Page](https://uk.linkedin.com/company/bluecrest-capital-management-llp) 4. [Glassdoor Overview](https://www.glassdoor.com/Overview/Working-at-BlueCrest-Capital-Management-EI_IE305621.11,39.htm) 5. [FCA Final Notice – BlueCrest Capital Management (UK) LLP (Oct 2025)](https://www.fca.org.uk/publication/final-notices/bluecrest-capital-management-2025.pdf) 6. [Indeed Company Profile](https://www.indeed.com/cmp/Bluecrest-Capital-Management) ## Other roles at BlueCrest Capital Management - [Finance Analyst](https://feeny.ai/job/finance-analyst-bluecrest-capital-management-london-bfw0twe5xtjg) — London, United Kingdom - [Technology PMO Lead](https://feeny.ai/job/technology-pmo-lead-bluecrest-capital-management-london-r2fy720drgpf) — London, United Kingdom - [AI DevOps Engineer](https://feeny.ai/job/ai-devops-engineer-bluecrest-capital-management-london-yyafrrtnx311) — London, United Kingdom - [Windows Platform Engineer](https://feeny.ai/job/windows-platform-engineer-bluecrest-capital-management-london-nq70p2s2k1gk) — London, United Kingdom - [Network Platform Engineer](https://feeny.ai/job/network-platform-engineer-bluecrest-capital-management-london-s1hhzx9mbe18) — London, United Kingdom - [AI Integration Lead](https://feeny.ai/job/ai-integration-lead-bluecrest-capital-management-london-xw72xnt0pxc6) — London, United Kingdom - [Front Office Developer](https://feeny.ai/job/front-office-developer-bluecrest-capital-management-london-zfnw77gw439b) — London, United Kingdom - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-foxglove-south-korea-m840bbetsxe0) — South Korea - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-foxglove-hong-kong-tzj8c9vnpwmk) — Hong Kong, China - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-66degrees-bengaluru-04afaam55rw4) — Bengaluru, India