Quantitative Developer EXCEL

Quantitative Developer EXCEL

Full-Time 60000 - 80000 € / year (est.) No home office possible
F

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: Gain real ownership of analytics, high impact on portfolio management.
  • Other info: Dynamic middle-to-front office role with excellent growth opportunities.
  • Why this job: Work directly with PMs and make a significant impact on portfolio construction.
  • Qualifications: 2-5 years in quant roles, strong Python skills, and a solid academic background.

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 EXCEL 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 benefits but also immerses you in a culture that values creativity and forward-thinking.

F

Contact Detail:

Finna Group Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Quantitative Developer EXCEL

Tip Number 1

Network like a pro! Reach out to people in the industry, especially those who work at hedge funds or have experience with quantitative roles. A friendly chat can lead to valuable insights and even job referrals.

Tip Number 2

Show off your skills! If you’ve built any tools or analytics libraries, make sure to showcase them. Create a portfolio or GitHub repository to demonstrate your Python prowess and any relevant projects you've worked on.

Tip Number 3

Prepare for technical interviews by brushing up on your OOP principles and quantitative methods. Practice coding challenges that focus on risk analytics and portfolio management to impress the hiring team.

Tip Number 4

Don’t forget to apply through our website! We’re always on the lookout for talented individuals who can contribute to our team. Your next big opportunity could be just a click away!

We think you need these skills to ace Quantitative Developer EXCEL

Python
Orchestrade
OOP (Object-Oriented Programming)
Analytics Libraries Development
Research Frameworks Development
Portfolio Risk Tooling
Stress Testing

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.

Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your skills and experiences that make you a great fit for this role.

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 this exciting opportunity in our quantitative risk 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 talk about specific tools or libraries you've built for portfolio risk and analytics. Be ready to explain your thought process behind stress tests, scenario analysis, and how you’ve supported hedging decisions in previous roles.

Engage with Real Scenarios

Think of real-life examples where you’ve worked directly with PMs or front-office teams. Discuss how you contributed to portfolio construction and risk allocation, and be prepared to backtest strategies and trade ideas.

Demonstrate Your Problem-Solving Approach

Be ready to tackle hypothetical scenarios during the interview. Show how you would approach building a scalable risk and analytics platform, and don’t shy away from discussing potential challenges and your solutions.