At a Glance
- Tasks: Develop and optimise trading platforms using cutting-edge machine learning and distributed systems.
- Company: Research-led hedge fund at the forefront of systematic trading and technology.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Be part of a new engineering function with significant influence on architecture and tooling.
- Why this job: Join a team shaping the future of quantitative research and investment strategies.
- Qualifications: Strong programming skills in algorithms, data structures, and distributed systems.
The predicted salary is between 60000 - 80000 £ per year.
We have partnered with a research-led hedge fund where scientific rigour, experimentation, and evidence-based decision-making sit at the heart of the business. Headquartered in London, they operate at the intersection of systematic trading, machine learning, large-scale distributed compute, and performance engineering. Despite C# and Python being their core stack, the firm is deliberately language-agnostic, prioritising deep systems understanding, strong programming fundamentals and problem-solving over any particular stack.
The dedicated engineering function was formally established earlier this year, meaning the team is in a genuine build phase with significant opportunity to influence architecture, tooling, standards, and platform direction.
What You Will Do- Develop the trading, modelling and simulation platforms underpinning sophisticated quantitative research and investment strategies.
- Scale cutting-edge machine learning workloads across large distributed compute environments.
- Optimise mission-critical, low-latency infrastructure where performance and reliability are paramount.
- Own the full lifecycle of solutions, from early-stage research and experimentation through to production deployment and ongoing optimisation.
- Experienced with algorithms, data structures, and architecture.
- Deeply proficient with performance, distributed systems, concurrency, and large-scale computing.
- A clear communicator who collaborates and builds strong relationships across the business.
If the opportunity to work on mission-critical quantitative systems in a performance-driven environment without direct ownership of investment risk interests you, either follow the link adjacent to apply or send your CV directly to zaakir.khan@mondrian-alpha.com.
Quantitative Developer employer: Mondrian Alpha
Mondrian Alpha is an exceptional employer located in the vibrant Greater London area, offering a dynamic work culture that fosters collaboration and innovation. Employees benefit from competitive compensation packages, including market-leading bonuses, and have ample opportunities for professional growth within a supportive environment. Joining our team means being part of a forward-thinking organisation that values your contributions and encourages your development in the financial sector.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Developer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at hedge funds or in quantitative roles. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving algorithms, data structures, or machine learning. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your problem-solving skills. Practice coding challenges and be ready to discuss your thought process. Remember, they want to see how you tackle real-world problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Quantitative Developer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with algorithms, data structures, and performance engineering. We want to see how your skills align with the role of a Quantitative Developer, so don’t be shy about showcasing relevant projects!
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex problems in the past. We love seeing candidates who can think critically and creatively, especially when it comes to real-world challenges in quantitative systems.
Communicate Clearly:As a Quantitative Developer, you'll need to collaborate with Quant Researchers. Make sure your application reflects your ability to communicate effectively. Use clear language and structure your thoughts logically to demonstrate your communication skills.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Mondrian Alpha
✨Know Your Algorithms
Brush up on your algorithms and data structures before the interview. Be prepared to discuss how you've applied them in real-world scenarios, especially in performance and distributed systems.
✨Showcase Your Problem-Solving Skills
Expect to tackle some challenging problems during the interview. Practice coding challenges that focus on concurrency and large-scale computing to demonstrate your problem-solving prowess.
✨Communicate Clearly
As a Quantitative Developer, you'll need to collaborate with Quant Researchers. Practice explaining complex technical concepts in simple terms to show you can communicate effectively across teams.
✨Understand the Business Context
Familiarise yourself with the hedge fund's approach to systematic trading and machine learning. Being able to discuss how your skills can contribute to their mission will set you apart from other candidates.
