Quantitative Developer

Millennium; London; On-site; GBP 150,000 - 180,000; Full time

Job summary

A leading investment management firm is seeking a Mid-Senior Level Quantitative Developer in London. The role involves building robust trading systems, automating trade processes, and requires strong programming skills in Python alongside a solid understanding of quantitative finance.

Qualifications

• Experience in high-performance, scalable systems design.
• Strong background in quantitative finance and statistical methods.
• Ability to manage multiple tasks simultaneously in a collaborative environment.

Responsibilities

• Develop, maintain, and improve the core trading engine.
• Design and implement systematic trade automation systems.
• Collaborate with traders and researchers to meet requirements.

Skills

Python

Quantitative Finance

Problem-Solving

Attention to Detail

Communication Skills

Education

Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, Engineering

Tools

pandas

polars

numpy

duckdb

Job description

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Mid-Senior Level Quant Developer

Preferred Location: London

Leading index Rebal team seeking a highly motivated and detail-oriented Quant Developer to join our team. The ideal candidate will have a strong passion for building robust trading systems and be familiar with the trading process. This role requires someone who is extremely hard-working and dedicated to achieving excellence in every aspect of their work. You will be working on our core trading engine and building out trade automations that drive the business.

Key Responsibilities

• Core Trading Engine Development: Develop, maintain, and improve our core trading engine.
• Systematic Trade Automations: Design and implement trade automation systems to enhance trading efficiency and effectiveness.
• Collaboration: Work closely with traders, researchers, and other developers to understand requirements and deliver solutions.
• Code Review: Participate in code reviews to ensure the highest quality of code and adherence to best practices.
• Support: Provide ongoing support and troubleshooting for existing trading systems and models.
  
  

Required Skills And Qualifications

• Educational Background: Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, Engineering, or a related field.
• Programming Proficiency: Strong programming skills in Python and must be comfortable with common dataset libraries e.g. pandas, polars, numpy, duckdb etc.
• Quantitative Skills: Solid understanding of quantitative finance and statistical methods.
• Trading Knowledge: Familiarity with the trading process and financial markets.
• System Design: Experience in designing and implementing high-performance, scalable systems.
• Problem-Solving: Excellent analytical and problem-solving skills.
• Attention to Detail: Meticulous attention to detail and a commitment to accuracy.
• Work Ethic: Demonstrated ability to work hard and manage multiple tasks simultaneously.
• Team Player: Ability to work effectively in a collaborative team environment.
• Communication Skills: Strong verbal and written communication skills.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Finance and Sales

• Industries

  Investment Management

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