At a Glance
- Tasks: Build cutting-edge portfolio risk and analytics tools for a high-quality hedge fund.
- Company: Dynamic hedge fund focused on quantitative risk and portfolio analytics.
- Benefits: Competitive salary, hands-on experience, and direct collaboration with PMs.
- Other info: Opportunity for significant ownership and career growth in a fast-paced environment.
- Why this job: Make a real impact on portfolio construction and risk management in a front-office role.
- 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
(Quant) Developer - Orchestrade in London employer: MindMatch
Join a high-quality hedge fund that prioritises innovation and collaboration, offering a dynamic work environment where your contributions directly influence portfolio construction and risk management. With a strong focus on employee growth, you will have the opportunity to develop cutting-edge analytics tools while working closely with portfolio managers in a hands-on role that fosters real decision support. Enjoy a culture that values technical excellence and encourages professional development, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land (Quant) Developer - Orchestrade in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors, especially those who work with hedge funds or have experience in quantitative roles. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and Orchestrade. This is your chance to demonstrate your hands-on experience and problem-solving abilities directly related to the role.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and understanding of risk analytics. Be ready to discuss how you've tackled real-world problems in previous roles, and don't shy away from sharing your thought process during coding challenges.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your relevant experience and how you can contribute to building a top-notch risk and analytics platform.
We think you need these skills to ace (Quant) Developer - Orchestrade in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Orchestrade and any relevant quantitative skills. We want to see how your background aligns with the role, so don’t be shy about showcasing your hands-on experience in building analytics tools.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your skills can contribute to our team. We love seeing genuine enthusiasm and a clear understanding of what we do.
Showcase Your Technical Skills:Since this role is all about building and developing, make sure to highlight your Python expertise and any experience with OOP principles. If you've worked on portfolio risk tools or analytics libraries, let us know!
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 MindMatch
✨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 coding skills and 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 these concepts apply to real-world situations and how you’ve used them in past roles to support PMs in decision-making.
✨Showcase Your Problem-Solving Skills
This role is all about building solutions, so come prepared with examples of how you've tackled complex problems in previous positions. Think about specific challenges you faced and how your analytical skills helped you overcome them.
✨Engage with the Interviewers
Since this position involves working closely with PMs and front-office teams, demonstrate your communication skills during the interview. Ask insightful questions about their current analytics platform and express your enthusiasm for contributing to their risk and portfolio analytics capabilities.
