WorldQuant jobs, judged for you, free

What they do

WorldQuant is a global quantitative asset management firm. Igor Tulchinsky founded it in 2007. It has more than 1,100 employees in 28 offices. Its researchers build alphas, models that try to predict price moves. Its strategies trade many asset classes in global markets. WorldQuant BRAIN is its online platform where outside users build alphas, and some become paid research consultants.

What they value

• Everything is information, and information is opportunity.
• Change is not to be feared: change fuels innovation.
• Quantity is quality: more talent, ideas, and solutions.
• Talent is global, opportunity is not.
• Freedom: go where the talent is.

Where they hire

Roles are spread across many cities: Budapest, Hanoi, Ho Chi Minh City, Singapore, Montevideo, Mumbai, New York, Yerevan, Beijing, Shanghai, Ramat Gan, and London. India has eight roles, in Mumbai, New Delhi, and Bengaluru. No role is remote. No posting says how many days you work in the office. No posting mentions visa sponsorship.

Teams and roles

Technology is the largest division, with 42 of 87 roles. Research and portfolio management have 15 roles each, and BRAIN has seven.

• Technology: C++, Python, and Java engineers, quantitative developers, and site reliability engineers. Many are in Budapest, Vietnam, and Montevideo. AI software developers build AI tools that help employees find and use information.
• Research: quantitative researchers and data scientists search for new alphas in Mumbai, New Delhi, Beijing, Shanghai, Taipei, Seoul, Yerevan, and Vietnam. Two roles in China are for students who graduate in 2026 or 2027.
• Portfolio management: independent and book portfolio managers run their own quantitative portfolios in the US, Europe, and Asia.
• BRAIN: researchers create alphas on the BRAIN platform, and user success specialists support its users.

US roles give pay ranges, such as $150,000 to $200,000 for a book portfolio manager.

What they look for

Most roles ask for Python and C++, and many ask for Linux. Research roles ask for a degree in a quantitative field from a leading university, and good English. Some ask for a PhD or for a place in the top 10 percent of your class. Many research roles say that you do not need finance experience, but you must have a strong interest in markets. Some technology roles say the same.

Engineering roles ask for two to eight years, often five or more. Some ask for experience with LLMs (large language models) and AI agents. Portfolio managers need two or more years of building systematic strategies, which are trading rules that a computer follows. They also need a verifiable track record of profit and a good Sharpe ratio (return for each unit of risk).