Quantitative Developer

WorldQuant LLC; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading quantitative investment firm in Greater London seeks a Quantitative Developer to design and implement proprietary systems. The ideal candidate has 5+ years in high-impact software engineering, strong Python skills, and a concise coding style. This role involves collaboration with researchers and managing deliverables in a relaxed yet intellectually driven environment. If you're adept at problem-solving and enjoy working with data-intensive systems, we want to hear from you.

Qualifications

• 5+ years of experience as a software engineer in production environments.
• Strong fundamentals in data structures and algorithms.
• Proficient in Python with a clean coding style.

Responsibilities

• Design, code, and implement proprietary systems and tools.
• Collaborate with Quant Researchers and PMs to define requirements.
• Analyze and test code, manage deliverables.

Skills

5+ years of experience in a high-impact, production environment as a software engineer

Strong computer science fundamentals - data structures, algorithms, OOP, threading, multiprocessing

Clean and concise coding style

Solid experience with Python

Experience working in Linux environment

Experience building distributed or data intensive systems

Strong communication skills

Interest in LLM, agentic systems

Job description

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.

WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.

Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.

Technologists at WorldQuant research, design, code, test and deploy projects while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role:

WorldQuant is seeking an exceptional candidate to join the firm as a Quantitative Developer. The right candidate will be able to use their development and practical thinking skills to slice through complicated challenges to find the most clear and effective solutions. Quant Developers will design, code and implement proprietary systems and tools to help bring research ideas to life, and have a real business impact. You will collaborate with Quant Researchers and PMs, data scientists, mathematicians and computer scientists to gather, analyze and spec out requirements, develop and test code, and manage deliverables. A successful candidate will have a track record of solving problems, be comfortable thinking outside the box, and bring cross-disciplinary solutions into play.

What You’ll Bring:

• 5+ years of experience in a high‑impact, production environment as a software engineer
• Strong computer science fundamentals - data structures, algorithms, OOP, threading, multiprocessing, etc.
• Clean and concise coding style
• Solid experience with Python
• Experience working in Linux environment
• Experience building distributed or data intensive systems is a big plus
• Demonstrated problem solving abilities, insight, and judgment as well as a strong attention to detail
• Strong communication skills; ability to express complex concepts in simple terms, especially to non-experts
• Interest and experience in LLM, agentic systems is a plus, but not essential