WorldQuant at a glance
worldquant.com/home- Founded 2007
SEC filings mentioning "WorldQuant": 14 — search EDGAR
Source: Wikipedia
WorldQuant
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 firmwide platforms and tooling 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: Our group is responsible for building software enabling both the large-scale quantitative research operations that drive WorldQuant’s platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firm’s next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team.
What You’ll Bring:
A successful candidate will possess:
- A minimum of 5 years of writing production-quality code in C++ on Linux platform
- Good understanding of Python language with development experience
- Strong understanding and experience with Linux system programming fundamentals
- Ability to develop large-scale, distributed systems
- Strong understanding of data structures, algorithms, high-performance application design, and concurrency patterns.
- Self-motivated and able to work independently with minimal direction
- Proficiency in English
An outstanding candidate will also have experience with one or more of:
- Developing systems for managing and performing computation on large-scale graph data
- Streaming / dataflow systems
- Candidates need not have prior experience in financial services.
#LI-DN1
By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction.
Copyright © 2025 WorldQuant, LLC. All Rights Reserved.
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.
To apply for this job please visit job-boards.greenhouse.io.
Explore WorldQuant online
What people say about WorldQuant
- Ask HN: Who wants to be hired? (February 2026)
- Ask HN: Who is hiring? (September 2025)
- ‘Machine Scientists’ Distill the Laws of Physics from Raw Data
- Using Reinforcement Learning in the Algorithmic Trading Problem
Recent news
- WorldQuant University Launches First-Ever Fundraising Campaign, Horizon 2036, As It Begins Its Second Decade of Global Impact - Business Wire
- WorldQuant billionaire launches Israeli deep-tech venture arm - CTech
- WorldQuant Grows Non-Millennium Cash It Manages to $30 Billion - Bloomberg.com
- External Assets for Clients of WorldQuant Hit $30 Billion - Briefs Finance
- WorldQuant grows non-Millennium cash it manages to $30 billion - MSN
Aggregated from public discussions and news; opinions are the authors’ own.
Working in London, UK
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London is the capital and largest city of England and the United Kingdom, with a population of 9.1 million people in 2024. Its wider metropolitan area is the largest in Western Europe, with a population of 15.4 million. London stands on the River Thames in southeast England, at the head of a 50-mile (80 km) tidal estuary down to the North Sea, and has been a major settlement for nearly 2,000 years. Its ancient core and financial centre, the City of London, was founded by the Romans as Londinium and has retained its medieval boundaries. The City of Westminster, to the west of the City of London
England is a country that is part of the United Kingdom. It is located on the island of Great Britain, of which it covers about 62%, and more than 100 smaller adjacent islands. England shares a land border with Scotland to the north and another land border with Wales to the west, and is surrounded by the North Sea to the east, the English Channel to the south, the Celtic Sea to the south-west, and
- Elevation 18m (59 ft)
Source: Wikipedia (state)
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