BlueCrest Capital Management
Forward Deployed Engineer
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
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.
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.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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
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.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
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.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Location