Quantitative Developer

Quantitative Developer

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

At a Glance

  • Tasks: Collaborate with researchers to develop high-performance trading tools and frameworks.
  • Company: Leading quantitative trading firm with a world-class technology stack.
  • Benefits: Competitive salary, dynamic work environment, and opportunities for innovation.
  • Other info: Join a culture of collaboration and rigorous debate for great ideas.
  • Why this job: Make a real-world impact while working on cutting-edge trading strategies.
  • Qualifications: Expertise in Python and strong problem-solving skills required.

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

With over two decades at the forefront of systematic trading, a world‑class technology stack, and a proven track record of success, this leading quantitative trading firm is seeking an exceptional Python Developer to join their London‑based team. As a Python Quant Developer, you will work closely with quantitative researchers to develop the high‑performance tools and frameworks that power the firm's trading strategies. Each team has the autonomy to set its own research direction, fostering an environment of innovation and ownership.

Key Responsibilities:

  • Collaborate with quant researchers to rapidly iterate on trading models
  • Develop robust, high‑performance Python libraries for research
  • Enhance backtesting frameworks to push the boundaries of low‑latency trading
  • Build scalable workflow engines to orchestrate global research pipelines

Required Skills and Experience:

  • Deep expertise in Python and its scientific stack (NumPy, Pandas, Polars)
  • Proven track record of developing production‑quality code in fast‑paced environments
  • Strong computer science fundamentals and problem‑solving skills
  • Excellent communication and collaboration abilities
  • Passion for writing clean, elegant, and well‑architected code
  • Familiarity with C++, Bash scripting, or prior experience in financial markets is a plus but not required.

The firm fosters a culture of collaboration and rigorous debate, where great ideas can come from anywhere. If you thrive in a fast‑paced environment, enjoy tackling complex challenges, and want to see your work have real‑world impact, we would love to hear from you.

Quantitative Developer employer: OCR Alpha

This leading quantitative trading firm in London offers an exceptional work environment where innovation and ownership are at the forefront. With a world-class technology stack and a culture that encourages collaboration and rigorous debate, employees have the opportunity to develop high-performance tools that directly impact trading strategies. The firm is committed to employee growth, providing a platform for continuous learning and the chance to tackle complex challenges in a fast-paced setting.

OCR Alpha

Contact Detail:

OCR Alpha Recruiting Team

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, attend meetups, and connect with current employees at the firm. A personal introduction can make all the difference in landing that interview.

Tip Number 2

Show off your skills! Create a GitHub profile showcasing your Python projects, especially those related to quantitative trading. This gives you a chance to demonstrate your expertise and passion for coding.

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 complex problems!

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the team and being part of the innovation.

We think you need these skills to ace Quantitative Developer

Python
NumPy
Pandas
Polars
Production-Quality Code Development
Computer Science Fundamentals
Problem-Solving Skills

Some tips for your application 🫡

Show Off Your Python Skills:Make sure to highlight your expertise in Python and its scientific stack. We want to see how you've used these skills in real-world projects, so don’t hold back on sharing specific examples!

Tailor Your Application:Take a moment to customise your application for the role. Mention how your experience aligns with the responsibilities listed, especially around developing high-performance tools and collaborating with researchers.

Keep It Clean and Concise:We appreciate well-structured applications! Keep your writing clear and to the point. Avoid jargon unless it’s relevant, and make sure your passion for coding shines through.

Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!

How to prepare for a job interview at OCR Alpha

Know Your Python Inside Out

Make sure you brush up on your Python skills, especially the scientific stack like NumPy and Pandas. Be ready to discuss your past projects and how you've used these libraries to solve complex problems.

Showcase Your Problem-Solving Skills

Prepare to tackle some coding challenges during the interview. Practice common algorithms and data structures, as well as low-latency trading concepts. This will demonstrate your strong computer science fundamentals.

Communicate Clearly and Collaboratively

Since collaboration is key in this role, practice explaining your thought process clearly. Be prepared to discuss how you’ve worked with others in the past, especially when iterating on trading models or developing frameworks.

Demonstrate Your Passion for Clean Code

Be ready to talk about your coding philosophy and why writing clean, elegant code matters to you. Share examples of how you’ve ensured code quality in previous projects, as this aligns with the firm's values.