At a Glance
- Tasks: Design and build cutting-edge trading technology with direct impact on trading performance.
- Company: Dynamic multi-strategy hedge fund in a growth phase, fostering innovation.
- Benefits: Competitive salary up to £450k, performance bonuses, and career development opportunities.
- Other info: Collaborative teams with a focus on innovative projects and real-time solutions.
- Why this job: Join a high-ownership environment where your work directly influences trading success.
- Qualifications: Strong Python programming skills and a quantitative background required.
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 (Pandas, NumPy; C++ exposure a plus for performance‑critical paths).
- Enhance and extend the risk‑modelling, pricing and analytics suite used directly on discretionary trading desks.
- Implement solid engineering practices: testing, code review, CI/CD, monitoring and documentation.
- Partner with front‑office users to deliver new tools, debug production issues and advocate best practices in how models and data are used in trading.
Candidate profile – research‑grade engineering
You have exceptional programming skills in Python (plus MATLAB) and are comfortable working on production systems, not just research scripts. You bring a deep quantitative toolkit – probability, statistics, optimisation and numerical methods – and you enjoy reading and implementing ideas from academic papers. You will typically have an outstanding academic record with a Master’s or PhD in a highly quantitative subject (Maths, Statistics, Computer Science, Physics, Engineering or similar) from a leading university; candidates without this background will need to demonstrate equivalent research‑level achievements in front‑office trading or risk technology. MATLAB experience is required, and familiarity with additional analytics tools (R, EViews) is a plus. Engineers on this team sit onsite with PMs and quants and largely come from research or PhD backgrounds, so you should be comfortable in a highly analytical, academic environment.
You should also have:
- Strong experience with scientific/data libraries and production systems.
- Solid SQL/RDBMS experience; time‑series DB experience (e.g. Timescale/PostgreSQL, kdb) is beneficial.
- A track record of owning projects end‑to‑end, from sitting with users through design and implementation to deployment and support.
- Strong communication skills and pragmatic problem‑solving in a fast‑moving front‑office setting.
- Prior front‑office or risk‑technology experience within a bank, asset manager or hedge fund is highly desirable.
Why now?
You’ll be joining during a multi‑year build‑out of trading technology, not a maintenance phase. Small, focused teams mean meaningful ownership of systems that are core to how the fund trades. Compensation is highly competitive, with strong performance‑related upside and clear visibility of the impact of your work.
Quantitative Trading Technology Engineer – Multi-Strategy Hedge Fund – London – Up to £450k TC employer: Mondrian Alpha
Join a high-performing multi-strategy hedge fund in London that is currently in an exciting build phase for its Trading Technology platform. With a focus on small engineering teams, you will have the opportunity to take ownership of critical systems and see the direct impact of your work on the fund's performance. The firm offers a collaborative work culture, competitive compensation, and ample opportunities for professional growth as it scales, making it an excellent employer for those seeking meaningful and rewarding careers in quantitative trading technology.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Trading Technology Engineer – Multi-Strategy Hedge Fund – London – Up to £450k TC
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, conferences, or even online webinars. The more you engage, the better your chances of landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to trading technology. This will give potential employers a taste of what you can do and how you can contribute to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and approach problems!
✨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. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Quantitative Trading Technology Engineer – Multi-Strategy Hedge Fund – London – Up to £450k TC
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the role of a Quantitative Trading Technology Engineer. Highlight your programming prowess in Python and any relevant projects that showcase your ability to work on production systems.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about trading technology. Share specific examples of how you've turned research into practical solutions, and don’t forget to mention your experience with risk modelling and analytics tools.
Showcase Your Problem-Solving Skills:In your application, emphasise your problem-solving abilities. We want to see how you approach challenges in a fast-paced environment, especially when it comes to debugging production issues or enhancing trading tools.
Apply Through Our Website:We encourage you to apply directly through our website. This way, we can ensure your application gets the attention it deserves, and you’ll be one step closer to joining our dynamic team!
How to prepare for a job interview at Mondrian Alpha
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and MATLAB, as these are crucial for the role. Brush up on your knowledge of scientific libraries like Pandas and NumPy, and be ready to discuss how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your ability to tackle complex problems in a fast-paced environment. Think about specific challenges you've faced in previous roles and how you approached them, especially in trading or risk technology.
✨Understand the Business Impact
Be ready to discuss how your work directly impacts P&L. This firm values engineers who can connect their technical contributions to business outcomes, so think about how your projects have influenced trading decisions or risk management.
✨Communicate Like a Pro
Strong communication skills are key in this role. Practice explaining complex technical concepts in simple terms, as you'll need to collaborate closely with Portfolio Managers and quants. Show that you can bridge the gap between tech and trading.
