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- Tasks: Develop and optimise quantitative research frameworks and trading infrastructure.
- Company: Leading asset management firm with a focus on innovation and collaboration.
- Benefits: Competitive salary plus performance-based bonuses and flexible working options.
- Why this job: Join a high-impact role and work directly with investment decision-makers.
- Qualifications: 25 years of experience in quant development or data science, strong programming skills required.
- Other info: Dynamic environment with opportunities for ownership and career growth.
The predicted salary is between 72000 - 108000 £ per year.
A leading asset management firm is seeking a highly talented Quant Developer / Data Scientist to join its systematic and discretionary investment teams. This is a front-office, high-impact role working directly with Portfolio Managers and Quant Researchers to design, implement, and scale the next generation of research and trading infrastructure. This opportunity is ideal for someone who loves hands-on development, quantitative research, and solving complex data challenges in a fast-paced, intellectually rigorous environment.
Key Responsibilities
- Develop and optimise quantitative research frameworks, signal-generation pipelines, and analytics tools.
- Work closely with PMs and Quants to translate research ideas into production-grade models and code.
- Build and maintain high-performance C++ and Python components used for modelling, simulation, and live trading.
- Design scalable Linux-based data and compute architectures, including feature engineering and large dataset processing.
- Support the creation of robust backtesting environments, ensuring accuracy, reproducibility, and efficiency.
- Collaborate with investment teams to enhance portfolio construction, execution logic, and model robustness.
- Contribute to the broader technology and research roadmap, identifying opportunities for optimisation and innovation.
Required Skills & Experience
- 25 years experience as a Quant Developer, Data Scientist, or Research Engineer within a trading, hedge-fund, or asset-management environment.
- Strong programming skills in: C++ (performance-critical research and execution components), Python (research, data processing, statistical modelling).
- Solid experience working in Linux environments, including scripting, debugging, and performance optimisation.
- Understanding of software architecture and experience contributing to scalable, modular research or trading systems.
- Strong quantitative background with a degree in a highly technical field (Computer Science, Mathematics, Physics, Engineering, Statistics, or related STEM discipline).
- Excellent problem-solving skills and the ability to work closely with front-office teams.
Bonus / Preferred Skills
- Knowledge of Japanese equity or derivatives markets (microstructure, trading conventions, data nuances).
- Experience with time-series modelling, market-microstructure research, or alpha-signal development.
- Familiarity with cloud compute environments, distributed frameworks, or containerised research infrastructure.
- Experience with CI/CD, Git, workflow automation, and best-practice engineering processes.
What We're Looking For
- Someone who is curious, analytical, and proactive.
- Excited by the challenge of building research and trading infrastructure from the ground up.
- Comfortable taking ownership, contributing ideas, and working directly with investment decision-makers.
- Motivated to work in a performance-driven, collaborative buy-side environment.
Quant Developer / Data Scientist employer: Marlin Selection
Contact Detail:
Marlin Selection Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Developer / Data Scientist
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. Attend meetups, webinars, or industry events where you can chat with potential employers or colleagues. Remember, sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving C++ and Python. Share your work on platforms like GitHub or even your own website. This gives hiring managers a taste of what you can do and sets you apart from the crowd.
✨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 complex data challenges, so be confident and articulate!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search. So, get your application in and let’s see if you’re the right fit for our team!
We think you need these skills to ace Quant Developer / Data Scientist
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills in C++ and Python. We want to see how you've used these languages in real-world scenarios, especially in quantitative research or trading environments.
Tailor Your Application: Don’t just send a generic CV and cover letter. We love it when applicants tailor their applications to our specific role. Mention your experience with Linux environments and any relevant projects that showcase your problem-solving skills.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured documents that make it easy for us to see your qualifications and experiences without wading through fluff.
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 you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Marlin Selection
✨Know Your Tech Inside Out
Make sure you brush up on your C++ and Python skills before the interview. Be ready to discuss specific projects where you've used these languages, especially in a trading or quantitative context. They’ll want to see how you’ve tackled complex data challenges.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've solved tough problems in previous roles. Think about times when you had to optimise a model or improve a trading strategy. Being able to articulate your thought process will impress the interviewers.
✨Understand the Business
Research the asset management firm thoroughly. Know their investment strategies, recent news, and how they operate within the financial markets. This will help you tailor your answers and show that you're genuinely interested in the role.
✨Be Ready for Technical Questions
Expect technical questions related to quantitative research frameworks and data processing. Brush up on your knowledge of Linux environments and be prepared to discuss software architecture. They might even throw in a coding challenge, so practice coding on the spot!