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WorldQuant

Global quantitative asset management via algorithms

Quantitative Researcher

Full-TimeUpdated on 10/16/2026
No salary listed
Mid
Bachelor's, PhD
Yerevan, Armenia
In Person
Quantitative FinanceQuantitative Research

About the job

Requirements
  • A degree from a top university in a highly analytical or quantitative field, such as Mathematics, Finance or Economics, Computer Science, Physics, Engineering, or a similar field.
  • A research mindset, including being a deep thinker, creative, persevering, inquisitive, a self-starter, and attentive to detail.
  • Critical thinking and the ability to develop non-standard approaches.
  • Solid programming skills in C++ and/or Python.
  • A solid understanding of machine learning; hands-on experience with scientific and data libraries such as NumPy and pandas; and experience with deep learning or machine learning frameworks such as PyTorch and Keras.
  • Working proficiency with AI-assisted development tools such as Claude Code, OpenCode, Roo Code, or similar tools.
  • Willingness to learn about worldwide financial markets.
  • Good oral and written English proficiency.
  • A strong work ethic.
Responsibilities
  • Build algorithmic, computer-driven models.
  • Conduct research on academic quantitative finance literature.
  • Explore new data.
  • Apply innovative methods in Applied Mathematics, Computer Science, and Financial Economics.
  • Stay updated on the latest advancements in AI and large language model research and identify opportunities to integrate them into quantitative finance applications.
Desired Qualifications
  • International or regional Mathematical, Programming, or Physics Olympiad medals.
  • A strong record of academic achievement, such as a PhD or equivalent experience, scientific publications, conference presentations, grants, or awards.
  • Relevant experience in research or software engineering.
  • Knowledge of financial economics, including portfolio theory, asset pricing, corporate finance, and derivatives.
  • Knowledge and hands-on experience in AI, machine learning, and large language models.

About the company

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 Jobs

Simplify's Take

What believers are saying

  • RavenPack's February 23, 2026 partnership added AI-powered data creation to BRAIN.
  • WorldQuant's 2026 IQC doubled registrations, strengthening its hiring funnel.
  • WorldQuant listed over 100 open quant roles in 2026 across Europe and Asia.

What critics are saying

  • James Golden's July 31, 2026 counterclaim keeps WorldQuant Predictive Technologies litigation alive.
  • Millennium joint-venture concentration leaves WorldQuant exposed to one counterparty's mandate changes.
  • BRAIN commoditizes alphas, eroding WorldQuant's edge within 12-24 months.

What makes WorldQuant unique

  • WorldQuant BRAIN drew 156,000 registrants across 167 countries for 2026 IQC.
  • WorldQuant Millennium Advisors reached nearly $30 billion AUM on July 1, 2026.
  • WorldQuant monetizes crowd-sourced alpha research through BRAIN and paid consultant submissions.

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Benefits

  • Performance Bonus
  • Flexible Work Hours

Company News

Forbes
Aug 31st, 2026
Meet the hedge fund billionaire who kickstarted Wall Street's newest tax dodge.

Meet the hedge fund billionaire who kickstarted Wall Street's newest tax dodge. illustration by philip smith for forbes ByJohn Hyatt, Forbes Staff. John Hyatt is a NYC-based Forbes staff writer covering Wall Street. Aug 31, 2026, 06:30am EDT After helping AQR pioneer a novel tax avoidance investment strategy, accounting PhD Hoon Kim left to start Quantinno. Thanks to thousands of wealth managers and their ultra-rich clients, assets have swelled from $2 billion to $70 billion in three years. The long-running stock bull market has left America's wealthiest with a tax problem: too many investment gains with too few losses. With major indexes marching ever higher, and as founders and early employees of tech firms accumulate fortunes in concentrated stock positions, it's become harder and harder for wealthy folks to identify losers that they can use to "harvest" losses to offset their capital gains. A fast-growing strategy designed to fix this problem has become the toast of the investment industry, from the Wall Street hedge funds crafting the products to the independent advisors hawking them to clients. In the so-called long-short tax-aware strategy, an investor uses leverage to make hundreds, even thousands, of additional bets on stocks - some that they own, and some that they short. (Shorting is betting that a stock will fall: you borrow shares, sell them and later buy them back, preferably at a lower price). The novel formula deliberately creates plenty of losses, on either its long or short positions, which investors can harvest to strategically offset gains elsewhere, while keeping most of their money invested in the rising stock market. Today, the assets committed to long-short tax aware strategies are fast approaching $200 billion, up from just a few billion five years ago. With an estimated $260 billion under management Greenwich-based AQR Capital Management, a 1,000-person hedge fund and asset manager, is well known as a pioneer of this trading strategy. Its success has prompted blue chip copycats from asset management giants like BlackRock, Nuveen, and Franklin Templeton to fellow quant hedge funds like Two Sigma and WorldQuant. All have recently launched or are exploring similar "long-short tax aware" offerings. However, AQR's biggest rival is a little known New York City-based firm called Quantinno Capital Management. In fact Quantinno's founder, a 57-year-old accounting PhD named Hoon Kim, actually helped create one of AQR's first long-short funds during his 12-year run at AQR. As of March 2026 Quantinno's assets were reported to be $48.4 billion across 10,600 individual accounts, up from less than $300 million five years ago, according to its website and public filings. This net assets figure has since been removed from Quantinno's website, but in less than six months assets have further ballooned to around $70 billion, says one wealth advisor familiar with the firm's numbers. "I would call their success remarkable. I've actually never seen anything like it," says Brent Sullivan, a tax analyst and founder of the blog Tax Alpha Insider. Become a member and unlock unlimited access, expert analysis and exclusive member benefits. Already a member? Digital Membership Billed monthly LESS THAN $2/WEEK Digital Membership Billed annually Digital Membership Billed biennially Premium access to exclusive events, thought-provoking conversations with global leaders and more, all available on-demand. Elevated browsing experience with fewer ads and unlimited article saving power an enhanced reading experience. ByJohn Hyatt John Hyatt is a staff writer who covers finance, investments and billionaire dealmakers. Contact Hyatt with suggestions, tips and scoops at +1-720-951-2080 (Signal) or [email protected]. Read our community guidelines.

Yahoo Finance
Feb 23rd, 2026
RavenPack and WorldQuant Announce AI-Powered Data Competition, Accelerating Financial Innovation

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.

eFinancialCareers
Mar 20th, 2025
The $140k side hustle that helps get a hedge fund job

WorldQuant has just announced its fifth annual International Quant Championship (IQC), a three-stage team-based competition with a prize pool of $100k.

eFinancialCareers
Nov 15th, 2024
The unusual experiments of ADIA's 150 AI experts

Karolis Jankauskas joined ADIA last month from Millennium spinoff Worldquant, where he was VP of deep research data science.

Global Fund Media Ltd
Mar 30th, 2023
WorldQuant appoints deputy general manager in London

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.