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- Tasks: Translate Python research into production C++ and optimise backtesting systems.
- Company: Fionics, a dynamic prop firm in London with a focus on AI trading.
- Benefits: Join a small team where your work directly impacts strategy and profits.
- Other info: Collaborative environment with opportunities for personal and professional growth.
- Why this job: Be part of a cutting-edge team and make a real difference from day one.
- Qualifications: BSc/MSc in a relevant field and 0-5 years of C++ experience.
The predicted salary is between 50000 - 70000 £ per year.
Fionics, a systematic prop firm in London, seeks a talented individual to translate Python research into production C++. You will build and optimize backtesting systems using L3 market data, owning components end-to-end alongside researchers and engineers.
The ideal candidate holds a BSc/MSc from a top university in a relevant field and has 0-5 years of experience with C++.
Join a small, technical team where every hire directly impacts strategy and P&L from day one.
Quantitative Developer: Production C++ for AI Trading employer: Fionics
Contact Detail:
Fionics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer: Production C++ for AI Trading
✨Tip Number 1
Network like a pro! Reach out to current employees at Fionics or similar firms on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! If you've got a GitHub or personal project showcasing your C++ prowess, make sure to highlight it. We love seeing practical applications of your knowledge!
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and data structures. Practice coding challenges that focus on C++ to ensure you're ready to impress during those tricky assessments.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for fresh talent like you!
We think you need these skills to ace Quantitative Developer: Production C++ for AI Trading
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with C++ and any relevant projects you've worked on. We want to see how you can translate your Python research into production code, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific experiences that relate to building and optimising backtesting systems, as it shows us you’re genuinely interested in the position.
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 qualifications and what you can bring to our team.
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’s super easy!
How to prepare for a job interview at Fionics
✨Know Your C++ Inside Out
Make sure you brush up on your C++ skills before the interview. Be prepared to discuss specific projects where you've used C++, especially in relation to AI or trading systems. They’ll likely want to see how you can translate Python research into production-level code.
✨Understand the Trading Environment
Familiarise yourself with the basics of trading and backtesting systems. Knowing how L3 market data works and its importance in trading strategies will show that you’re not just a coder, but someone who understands the business side of things too.
✨Showcase Your Problem-Solving Skills
Be ready to tackle some technical challenges during the interview. Practice coding problems that involve optimising algorithms or working with large datasets. This will demonstrate your ability to think critically and solve real-world problems in a trading context.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects and the technologies they use. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values. Plus, it gives you a chance to engage with the interviewers on a deeper level.