Full-Time
Quantitative Developer
Platform & Operations
Updated on 8/21/2026
WorldQuant
1,001-5,000 employees
Global quantitative asset management via algorithms
Compensation Overview
$125k - $175k/yr
Old Greenwich, Greenwich, CT, USA + 1 more
More locations: New York, NY, USA
In Person
Bachelor's, Master's
 Quantitative Finance (1) |
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 Software Engineering (1) |
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- A Bachelor's or Master's degree in Computer Science, Engineering, or a related field is required.
- Solid practical experience in Python and/or C++ is required.
- Good working knowledge of Bash scripting and Linux environments is required.
- Familiarity with version control systems such as Git is required.
- The candidate must demonstrate strong analytical and logical thinking and approach problems methodically.
- The candidate must maintain a high standard for the quality of their work.
- The candidate must be able to take ownership of problems and work independently without constant direction.
- The candidate must be comfortable leading multiple tasks and making sound decisions in a fast-paced environment.
- The candidate must be able to learn quickly and adapt to new technologies and complex systems.
- The candidate must communicate effectively and concisely in English, both in writing and verbally.
- The candidate must have good working knowledge of Claude or other large language model ecosystems and understand how to apply them across development workflows, including problem analysis, debugging, solution design, and documentation.
- The candidate must use large language model tools with judgment and critical thinking rather than relying on blind code generation.
- The candidate must be able to contribute this approach to the broader team and help raise overall productivity.
- Contribute to the design, development, and maintenance of systems, interfaces, and tools that support portfolio management workflows.
- Collaborate with portfolio managers and developers to understand requirements and translate them into practical solutions.
- Identify, investigate, and resolve issues in existing tools and infrastructure.
- Monitor and support production systems, respond to incidents, and ensure reliability.
- Contribute to code reviews, testing, and technical documentation.
- Continuously improve team productivity by maximizing modern development tools and practices.
WorldQuant is a global quantitative asset management firm that uses data, talent, and predictive algorithms to manage investments for institutional clients. Its approach centers on quantitative research and algorithmic trading, applying mathematical models to identify opportunities and execute trades in financial markets. The company earns management and performance fees based on assets under management and investment returns. What sets WorldQuant apart is its scale and culture: a worldwide footprint with over 1,000 professionals across 27 offices, a strong emphasis on data-driven research and experimentation, and a commitment to equal opportunity where employees at all levels can contribute ideas. The firm’s goal is to deliver reliable, scalable investment performance for pension funds, endowments, sovereign wealth funds, and other institutions by closely linking research, technology, and trading execution to generate client returns.
Company Size
1,001-5,000
Company Stage
N/A
Total Funding
$148.5M
Headquarters
Greenwich, Connecticut
Founded
2007
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Simplify's Take
What believers are saying
- July 2026 Bloomberg reported WorldQuant Millennium Advisors nearly tripled to almost $30 billion.
- February 23, 2026 RavenPack launched a data challenge on WorldQuant BRAIN.
- The 2026 International Quant Championship drew 140,000 registrations across 150 countries.
What critics are saying
- July 31, 2026 litigation from WorldQuant Predictive Technologies signals expensive legal overhang.
- BRAIN’s talent-sourcing model commoditizes quant ideas, eroding moat as rivals copy faster.
- Millennium-linked capital concentration creates existential dependency if that relationship deteriorates in 2026.
What makes WorldQuant unique
- WorldQuant BRAIN turns competitors into a global alpha-sourcing funnel.
- Igor Tulchinsky built WorldQuant into a 1,100-plus-person, 27-office quant platform.
- WorldQuant Millennium Advisors manages almost $30 billion, validating its model.
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Benefits
Performance Bonus
Flexible Work Hours
Company News
RavenPack and WorldQuant announce ai-powered data competition, accelerating financial innovation. PR Newswire "Data Creation Challenge" Powered by RavenPack's Bigdata.com Brings Institutional-Grade Data and Global Research Community Together Through the WorldQuant BRAIN Platform NEW YORK, Feb. 23, 2026 /PRNewswire/ - RavenPack, the AI decision infrastructure provider for financial enterprises, and WorldQuant, a global quantitative asset management firm, today announced the launch of the "Data Creation Challenge." With participation taking place exclusively on WorldQuant BRAIN, a web-based simulation platform fueled by data and technology, across the platform's global research consultant community who have met rank thresholds and passed background checks, this six-week competition is designed to advance education in AI-driven financial research. This initiative combines data from Bigdata.com, RavenPack's AI-native platform delivering decision-grade financial intelligence, with WorldQuant BRAIN, which enables registered consultants to build and submit alphas[[1]] for potential compensation. "Financial innovation accelerates when high-quality data and modern infrastructure are accessible to researchers everywhere," said Armando Gonzalez, CEO and Founder of RavenPack. "This initiative is about education and AI enablement, showing how institutional-grade intelligence can be explored responsibly and creatively by a global research community." Transparent Participation, Protected Intelligence The competition is guided by a clear principle: transparent participation, protected intelligence. The campaign is designed as an educational showcase of how datasets are built, how unstructured financial information becomes research-ready, and how collaborative data science workflows operate in practice, while fully protecting individual models, signals, and proprietary methodologies. Participants will use RavenPack's open Search API via WorldQuant BRAIN to access data on Bigdata.com to build datasets from unstructured financial content. Throughout the competition, high-level insights will be shared. "The world is at a fascinating inflection point: with the proliferation of data and AI, we're reaching a place where you can quantify almost anything," said Nitish Maini, Chief Strategy Officer at WorldQuant. "By powering innovation in dataset creation, this competition is a natural extension of the initiatives we're always looking to pursue as we seek to amplify the BRAIN platform and empower our thousands of consultants worldwide." Expanding Access to Institutional-Grade Infrastructure Updates and details regarding the "Data Creation Challenge", such as the competition overview and timeline, educational materials, and weekly highlights of creative data engineering approaches and community-level learning themes will be hosted on Bigdata.com.
WorldQuant has just announced its fifth annual International Quant Championship (IQC), a three-stage team-based competition with a prize pool of $100k.
Karolis Jankauskas joined ADIA last month from Millennium spinoff Worldquant, where he was VP of deep research data science.
WorldQuant, the Connecticut-headquartered hedge fund firm founded in 2007 by ex-video game programmer-turned portfolio manager Igor Tulchinsky, has appointed James Henderson as deputy general manager based in London, according to a report by Reuters.