At a Glance
- Tasks: Build cutting-edge portfolio risk and analytics tools for decision support.
- Company: High-quality hedge fund focused on quantitative risk and portfolio analytics.
- Benefits: Competitive salary, hands-on role, and impactful work with PMs.
- Other info: Collaborate directly with PMs and front-office teams for high-impact projects.
- Why this job: Gain real ownership of analytics and risk stack in a dynamic environment.
- Qualifications: 2-5 years experience in quant roles and strong Python skills.
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 - C# employer: Finna Group
Join a prestigious 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 resources, fostering both personal and professional growth. Located in a vibrant financial hub, this role provides the unique opportunity to work closely with portfolio managers, ensuring your work has a tangible impact on the firm's success.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Developer - C#
✨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 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 related to risk analytics or portfolio management. This is your chance to demonstrate your Python prowess and any tools you've built. Make it easy for hiring managers to see what you can do!
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with Orchestrade and how you've tackled real-world challenges in quantitative development. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job postings and make sure your application stands out by tailoring it to the specific role you’re interested in.
We think you need these skills to ace Quantitative Developer - C#
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python and Orchestrade, as these are key for the role. We want to see how your skills align with the hands-on, build-the-platform nature of the job.
Showcase Relevant Projects:Include any projects or tools you've developed that relate to portfolio risk and analytics. This will help us understand your practical experience and how you can contribute to building our risk and analytics platform.
Craft a Compelling Cover Letter:Use your cover letter to explain why you're excited about this role and how your background in maths, physics, or engineering makes you a great fit. We love seeing genuine enthusiasm and a clear connection to the job!
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 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 C# skills too, even if it's not the core focus. Be ready to discuss specific projects where you've used these technologies to build analytics tools or frameworks.
✨Understand Portfolio Risk Concepts
Familiarise yourself with key concepts like VaR, stress testing, and scenario analysis. Be prepared to explain how you would apply these in real-world situations, especially in collaboration with PMs. Showing that you can translate complex risk metrics into actionable insights will impress the interviewers.
✨Demonstrate Your Problem-Solving Skills
Think of examples where you've tackled challenging problems in quantitative analysis or risk management. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting your analytical thinking and decision-making process.
✨Show Your Collaborative Spirit
Since this role involves working closely with PMs and front-office teams, be ready to discuss your experience in collaborative environments. Share examples of how you’ve successfully communicated complex ideas to non-technical stakeholders and contributed to team projects.
