At a Glance
- Tasks: Join a research team to build systems that turn ideas into live trading strategies.
- Company: Top-tier systematic quantitative fund competing with the best in tech and finance.
- Benefits: Attractive salary package, hybrid work model, and opportunities for career advancement.
- Other info: Collaborative environment with direct involvement in architectural decisions and project ownership.
- Why this job: Make a real impact by designing critical systems that influence global trading.
- Qualifications: Strong engineering instincts and experience in Python; quant finance knowledge is a bonus.
My client is a systematic quantitative fund operating at the highest level of global markets. The kind of firm that benchmarks itself against Jane Street, Two Sigma, and the best technology companies in the world. Research and engineering are inseparable here, which is why the best developers don't drift into management. They go deeper, own more, and build things that matter.
This seat opened because someone moved up. It could happen to you, too.
What You'll Actually Be Doing
You'll sit inside a research team, not a centralised tech function, not three layers from the action. You'll work directly with researchers building and evolving the systems that turn ideas into live, systematic strategies. That means signal research infrastructure, data pipelines, backtesting frameworks, execution modelling. The scope is genuinely broad, in a team senior and small enough that you'll be in the room when architectural decisions are made, expected to have a view, defend it, and own what ships.
The Engineering Challenge
Research systems here aren't internal tools. They're the foundation that determines what gets traded, when, and at what scale. A poorly designed backtesting framework doesn't produce a slow result. It produces a wrong one, and wrong compounds quietly until it matters most. You design for correctness before you design for speed. You understand the domain well enough to know when something that runs is still broken. Python is the core language: numerical computing, high-throughput data processing, clean abstractions over complex systems. If you've built infrastructure where the quality of the output matters as much as the correctness of the code, research platforms, systematic trading systems, large-scale data environments, you'll find this environment familiar in the best possible way.
Quant finance knowledge is a plus, not a prerequisite. The firm can teach the domain. It can't teach the engineering instincts, and those are what they're actually hiring for.
Interested?
If this sounds like the right kind of hard, reach out. I work across this firm's teams and can give you a full picture of where this role sits, what the progression looks like, and whether it's the right move for you, even if you're not actively looking right now.
Senior Quantitative Developer – Research Team – Systematic Fund – London – Hybrid – Up to £500k TC employer: Mondrian Alpha
This systematic quantitative fund in London offers an exceptional work environment where research and engineering are seamlessly integrated, allowing developers to take ownership of impactful projects. With a strong emphasis on employee growth and a culture that encourages deep technical engagement, you will have the opportunity to work closely with researchers and contribute to the development of critical trading systems. The hybrid work model and competitive compensation package further enhance the appeal of joining a firm that benchmarks itself against the best in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Quantitative Developer – Research Team – Systematic Fund – London – Hybrid – Up to £500k TC
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at firms similar to the one you're eyeing. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio or GitHub with projects that highlight your quantitative development chops, make sure to share it. Real-world examples of your work can speak volumes more than just words on a CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and understanding the principles behind systematic trading systems. We all know that coding tests can be tough, so practice makes perfect!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate candidates who want to dive deep into the world of quantitative finance.
We think you need these skills to ace Senior Quantitative Developer – Research Team – Systematic Fund – London – Hybrid – Up to £500k TC
Some tips for your application 🫡
Show Your Passion for Quantitative Development:When writing your application, let us see your enthusiasm for quantitative development shine through. Share specific examples of projects or systems you've built that demonstrate your engineering instincts and how they relate to the role.
Be Clear and Concise:We appreciate clarity! Make sure your application is well-structured and to the point. Avoid jargon unless it's relevant, and focus on what makes you a great fit for our research team.
Highlight Relevant Experience:Tailor your application to showcase your experience with Python and any quantitative finance knowledge you have. Even if quant finance isn't your strong suit, emphasise your engineering skills and how they can contribute to our systematic strategies.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures it gets into the right hands quickly. Plus, it shows you're serious about joining our 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 any relevant frameworks. Brush up on your numerical computing and data processing skills, as you'll need to demonstrate your technical prowess during the interview.
✨Understand the Research Landscape
Familiarise yourself with systematic trading strategies and the role of research in quantitative finance. Even if you don’t have a deep background in quant finance, showing that you understand how research and engineering intersect will impress the interviewers.
✨Prepare for Technical Challenges
Expect to tackle some real-world problems during your interview. Practice coding challenges that focus on building robust systems and backtesting frameworks. This will help you showcase your engineering instincts and problem-solving abilities.
✨Be Ready to Defend Your Ideas
In a small team, your voice matters. Be prepared to discuss your architectural decisions and defend your approach. Show that you can think critically about design choices and understand their implications on system performance.
