Quant Developer: Build & Own High-Impact Trading Systems

Quant Developer: Build & Own High-Impact Trading Systems

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Translate Python research into production C++ and optimise trading systems.
  • Company: Fionics, a dynamic firm in London with a focus on high-impact trading.
  • Benefits: Full-time role with direct impact on strategy and profit.
  • Why this job: Join a small, technical team and make a real difference in trading systems.
  • Qualifications: Proficiency in Python and C++, with a passion for trading systems.

The predicted salary is between 60000 - 80000 £ per year.

Fionics is seeking a skilled developer to translate Python research into production C++. You'll build and optimise backtesting and simulation systems using L3 market data, owning components end-to-end alongside researchers and senior engineers.

Located in London, this full-time, on-site role offers a unique opportunity to join a small, technical team where every hire directly impacts strategy and P&L.

Quant Developer: Build & Own High-Impact Trading Systems employer: Fionics

Fionics is an exceptional employer that fosters a collaborative and innovative work culture, where your contributions directly influence trading strategies and profitability. Located in the vibrant city of London, we offer competitive benefits, opportunities for professional growth, and the chance to work alongside talented researchers and engineers in a dynamic environment that values your expertise and input.

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Contact Details:

Fionics Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Quant Developer: Build & Own High-Impact Trading Systems

Tip Number 1

Network like a pro! Reach out to current employees at Fionics on LinkedIn or attend industry meetups. A friendly chat can give us insights into the company culture and maybe even a referral!

Tip Number 2

Show off your skills! Prepare a portfolio showcasing your Python and C++ projects, especially any backtesting or simulation systems you've built. This will help us stand out during interviews.

Tip Number 3

Practice makes perfect! Brush up on your technical interview skills by solving coding challenges related to trading systems. We can use platforms like LeetCode or HackerRank to get ready.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CVs and cover letters to highlight how our skills align with Fionics' needs.

We think you need these skills to ace Quant Developer: Build & Own High-Impact Trading Systems

Python
C++
Backtesting Systems
Simulation Systems
L3 Market Data
End-to-End Development
Collaboration with Researchers

Some tips for your application 🫡

Show Off Your Skills:Make sure to highlight your experience with Python and C++ in your application. We want to see how you've translated research into production code, so share specific examples of your work that demonstrate your technical prowess.

Tailor Your Application:Don’t just send a generic CV and cover letter. We’re looking for candidates who understand our needs, so customise your application to reflect how your skills align with the role of a Quant Developer at Fionics.

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 relevant experience 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 don’t miss out on any important updates from our team!

How to prepare for a job interview at Fionics

Know Your Tech Stack

Make sure you’re well-versed in both Python and C++. Brush up on how to translate Python research into production-level C++ code. Be ready to discuss specific projects where you've done this, as it shows your practical experience.

Understand the Trading Systems

Familiarise yourself with backtesting and simulation systems, especially using L3 market data. Being able to talk about how these systems work and their importance in trading strategies will impress your interviewers.

Showcase Your Problem-Solving Skills

Prepare to discuss challenges you've faced in previous roles, particularly in optimising systems or working with large datasets. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly.

Engage with the Team Dynamics

Since this role involves working closely with researchers and senior engineers, demonstrate your ability to collaborate effectively. Share examples of how you’ve successfully worked in a team to achieve a common goal, highlighting your communication skills.