At a Glance
- Tasks: Build cutting-edge portfolio risk and analytics tools for decision support.
- Company: Leading hedge fund focused on innovative quantitative strategies.
- Benefits: Competitive salary, hands-on experience, and impactful role in portfolio management.
- Other info: Dynamic middle-to-front-office environment with significant career growth potential.
- Why this job: Gain real ownership of analytics and risk, directly influencing portfolio decisions.
- Qualifications: 2-5 years in quant roles with strong Python skills and Orchestrade experience.
The predicted salary is between 60000 - 80000 € per year.
A high-quality hedge fund is building out its quantitative risk and portfolio analytics capability and is looking to hire a Quant / Quant Developer with Orchestrade experience to work directly with the Head of Risk and the QR in the risk team. This is a hands-on, build-the-platform role focused on real decision support - not a reporting, model validation, or back-office risk seat.
What you’ll be doing:
- Build PM-facing portfolio risk & analytics tools
- Design and run:
- Stress tests & scenario analysis
- VaR & Credit VaR
- Tail risk & drawdown analysis
- Develop tools to:
- Understand portfolio risk
- Support hedging decisions
- Explain P&L and risk drivers
- Work directly with PMs on:
- Portfolio construction
- Risk allocation
- Forward-looking scenario analysis
- Backtest strategies and trade ideas
- Help build a scalable, institutional-grade risk & analytics platform
Tech & skills:
- Strong Python (core development language)
- Orchestrade
- Good OOP / engineering discipline
- Experience building:
- Analytics libraries
- Research frameworks
- Portfolio or risk tooling
- Excel / VBA useful but not core
- C# a plus
Background:
- ~2–5 years experience as:
- Desk Quant
- Risk Quant
- Quant Developer
- Portfolio Analytics Quant
- Strong academic background in:
- Maths, Physics, Engineering, or Computer Science
- Comfortable working directly with PMs and front-office teams
Why this is interesting:
- Middle-to-Front-office, PM-facing role
- Real ownership of the analytics & risk stack
- High impact on how the portfolio is built and hedged
- Not a back-office or reporting function
Quantitative Developer - Leading Hedge Fund in London employer: Finna Group
Join a leading hedge fund that prioritises innovation and collaboration, offering a dynamic work environment where your contributions directly influence portfolio management and risk strategies. With a strong focus on employee development, you will have access to cutting-edge tools and the opportunity to work closely with experienced professionals in a hands-on role that fosters growth and meaningful impact. Located in a vibrant financial hub, this position not only provides competitive compensation but also a culture that values creativity and forward-thinking.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Developer - Leading Hedge Fund in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. Attend industry events or webinars where you can meet people who work at hedge funds or in quantitative roles. A personal introduction can make all the difference!
✨Tip Number 2
Show off your skills! Create a portfolio of projects that highlight your Python expertise and any tools you've built, especially if they relate to risk analytics or portfolio management. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge, especially around Orchestrade and quantitative risk concepts. Be ready to discuss how you've applied your skills in real-world scenarios, as this will show you're not just book-smart but also practical.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Make sure your application stands out by tailoring it to the specific role and showcasing your relevant experience in quantitative development.
We think you need these skills to ace Quantitative Developer - Leading Hedge Fund in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python and Orchestrade, as these are key skills for the role. We want to see how your background in maths, physics, or engineering aligns with the job description.
Craft a Compelling Cover Letter:Use your cover letter to showcase your passion for quantitative risk and portfolio analytics. Tell us why you're excited about building PM-facing tools and how your previous experiences have prepared you for this hands-on role.
Showcase Relevant Projects:If you've worked on any projects related to portfolio risk, analytics tools, or scenario analysis, make sure to include them. We love seeing practical examples of your work that demonstrate your ability to build scalable solutions.
Apply Through Our Website:We encourage you to apply directly through our website. This way, we can easily track your application and ensure it gets the attention it deserves. Plus, it shows us you're serious about joining our team!
How to prepare for a job interview at Finna Group
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and Orchestrade, as these are crucial for the role. Brush up on your OOP principles and be ready to discuss how you've applied them in past projects.
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of stress tests, scenario analysis, or VaR calculations you've worked on. Be ready to explain your thought process and how your contributions impacted portfolio risk management.
✨Engage with Portfolio Management Concepts
Since this role involves working closely with PMs, demonstrate your understanding of portfolio construction and risk allocation. Think of scenarios where you’ve collaborated with front-office teams and how you added value.
✨Ask Insightful Questions
Prepare thoughtful questions about the hedge fund's approach to risk analytics and decision support. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals.
