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- Tasks: Design and build cutting-edge trading technology for a high-performing hedge fund.
- Company: Join a dynamic multi-strategy hedge fund with a focus on innovation.
- Benefits: Competitive salary up to ÂŁ450k, collaborative environment, and career growth opportunities.
- Other info: Be part of a growing team with exciting projects in AI-driven tools.
- Why this job: Make a real impact by owning critical systems and working closely with traders.
- Qualifications: Strong Python skills and experience in trading technology or quantitative analysis.
A high‑performing, multi‑strategy hedge fund of around 380 people globally is in a genuine build phase across its Trading Technology platform. The firm is scaling beyond 400 people but deliberately avoiding “mega‑fund” scale, so small engineering teams still own critical systems end‑to‑end and see a direct link between what they build and P&L. Around 30 hires into Technology are planned for 2026, with a particular focus on discretionary trading tech, data, and early AI‑driven tooling.
The Role – High‑Ownership Trading Tech
You will be a senior, hands‑on engineer embedded with discretionary trading teams, owning key components of the trading stack rather than working in a distant central IT group. You will:
- Turn research and desk models into robust, low‑latency, production services used live by PMs and traders.
- Design and own real‑time and end‑of‑day risk, P&L and pricing tools that directly support trade sizing and execution.
- Build and evolve scalable market and reference data pipelines, integrating vendor feeds and internal systems.
- Work directly with Portfolio Managers, quants and Risk to shape requirements, prioritise projects and iterate quickly on desk tools.
Example projects:
- Re‑engineering a trader’s prototype Python script into a monitored microservice behind the order‑management / blotter stack.
- Building an intraday scenario engine so PMs can stress portfolios across rates, FX, credit and equity derivatives in seconds.
- Developing a real‑time exposure dashboard with alerting that hooks into existing trading workflows.
- Collaborating with data and AI engineers on intelligent monitoring or research‑support tools (e.g. automated checks on model behaviour, smarter analytics surfaces).
Key Responsibilities:
- Design, build and maintain high‑quality Python services and libraries.
Quantitative Trading Technology Engineer - Multi-Strategy Hedge Fund - London - TC employer: Mondrian Alpha
Contact Detail:
Mondrian Alpha Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Trading Technology Engineer - Multi-Strategy Hedge Fund - London - TC
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Prepare for those technical interviews! Brush up on your Python skills and be ready to discuss your past projects in detail. We recommend practising coding challenges and system design questions to show off your expertise.
✨Tip Number 3
Showcase your passion for trading technology! When you get the chance to chat with potential employers, share your thoughts on the latest trends in AI and data integration. We want to see that you’re not just a coder, but someone who’s genuinely excited about the field.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. We’re always on the lookout for talented individuals who can make a real impact in our teams.
We think you need these skills to ace Quantitative Trading Technology Engineer - Multi-Strategy Hedge Fund - London - TC
Some tips for your application 🫡
Show Your Passion for Trading Tech: When writing your application, let us see your enthusiasm for trading technology. Share any relevant projects or experiences that highlight your skills in building low-latency services or working with trading teams. We love seeing candidates who are genuinely excited about the role!
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this specific role. Highlight your experience with Python and any relevant technologies that align with our needs. We want to see how your background fits into our multi-strategy hedge fund environment, so be specific!
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. We appreciate a well-structured application that gets straight to the good stuff!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at Mondrian Alpha
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and any other relevant technologies mentioned in the job description. Brush up on your knowledge of low-latency systems and how they impact trading. Being able to discuss specific projects you've worked on will show your hands-on experience.
✨Understand the Trading Environment
Familiarise yourself with the multi-strategy hedge fund landscape and the role of technology within it. Be prepared to discuss how your work can directly influence P&L and trading decisions. Showing that you understand the business side of things will set you apart.
✨Prepare for Technical Challenges
Expect to face technical questions or coding challenges during the interview. Practice solving problems related to real-time data processing and risk management tools. This will demonstrate your ability to think critically and apply your skills in a practical setting.
✨Showcase Collaboration Skills
Since you'll be working closely with Portfolio Managers and quants, highlight your experience in cross-functional teams. Share examples of how you’ve gathered requirements and iterated on projects based on feedback. This will illustrate your ability to communicate effectively and adapt to team needs.