Quantitative Developer

WorldQuant; City Of London; On-site; GBP 90,000 - 130,000; Full time

Job summary

WorldQuant is seeking an exceptionally strong software engineer to join its Technology organization in London. You will build and evolve core systems powering our quant strategies, collaborating with researchers and quants to turn ideas into robust production solutions.

You will work on data pipelines, the data layer, and AI-powered tooling, leveraging Python and C++ on Linux/Unix, with CI/CD and a focus on code quality, reliability, and scalable infrastructure in a finance-focused environment.

Qualifications

• Degree in a technical or quantitative discipline from a top-tier institution.
• 3 to 8 years of working experience in software engineering.
• Experience programming in Python (preferred) or C++ on Linux/Unix; scripting languages welcome.

Responsibilities

• Design, build and maintain data pipelines and data layer for quantitative systems.
• Develop and evolve computational frameworks and infrastructure for data, research, portfolio construction and trading.
• Collaborate with Researchers and Quants to turn ideas into robust production solutions; deploy AI-powered tooling in engineering workflows.

Skills

Python

C++

Linux

CI/CD

Communication

Problem Solving

Teamwork

AI/ML

Finance knowledge

Education

Bachelor's or higher in CS/Math/Engineering

Tools

Git

Job description

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:

We are looking for an exceptionally strong software engineer to join our Technology organization at WorldQuant. You will be part of a business-facing team responsible for building and evolving the core systems that power our Quant strategies. This is an AI-forward team: large language models (LLMs) and AI agents are part of our daily workflow – from writing and reviewing code, to automating operational toil, to building internal copilots and agentic tools that the whole team relies on. You won't just use AI to move faster; you'll help shape how it's applied across our engineering practice. Design and build data pipelines and the data layer. Develop and maintain the computational frameworks and infrastructure that run our quantitative and enhance quant-related software systems for data, research, portfolio construction, and trading. Work closely with Researchers, and Quants as a hands‑on engineering partner, helping them turn ideas into robust production solutions. Gain exposure to the full lifecycle of the systematic/quant business, from data ingestion through research, and integrate AI-powered tooling – LLM agents, copilots, and automation – into engineering and research workflows. Use AI coding assistants and agentic developer tools to ship higher‑quality software faster.

What You'll Bring:

• Degree in a technical or quantitative discipline from a top tier institution.
• 3 to 8 years of working experience in software engineering.
• Demonstrated ability to program in Python (preferred) or C++ on Linux/Unix platforms, familiarity with scripting languages.
• Experience with effective code version control, as well as Continuous Integration and Deployment.
• Exceptional communication skills in both verbal and written form.
• Excellent problem‑solving abilities and judgment with strong attention to detail.
• Mature and thoughtful, with the ability to operate in a collaborative, team‑oriented culture.
• Motivated by the transformational effects of with AI technologies, such as LLMs and agentic AI, along with their use cases would be beneficial.
• Experience in finance is a plus but not required.

WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

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 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