Quantitative Researcher
Quick Summary
Building algorithmic, computer-driven models; Conducting research on academic quantitative finance literature; Exploring new data; Applying a synergy of innovative methods in Applied Mathematics,
International or regional Mathematical/Programming/Physics Olympiad medals; Strong record of academic achievement (PhD or equivalent experience, scientific publications, conference presentations,
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.
Responsibilities
~1 min read- →Building algorithmic, computer-driven models;
- →Conducting research on academic quantitative finance literature;
- →Exploring new data;
- →Applying a synergy of innovative methods in Applied Mathematics, Computer Science and Financial Economics;
- →Staying updated on the latest advancements in AI and LLM research, identifying opportunities to integrate them into quantitative finance applications.
- Degree from a top university in a highly analytical/quantitative field, such as: Mathematics, Finance or Economics, Computer Science, Physics, Engineering or similar;
- Research mind-set: being a deep thinker, creative, persevering, inquisitive, a self-starter, attentive to detail, etc.;
- Critical thinking and ability to come up with non-standard approaches;
- Solid programming skills (C++ and/or Python);
- Willingness to learn about worldwide financial markets;
- Good knowledge of English (both oral and written);
- Strong work ethic.
Requirements
~1 min read- International or regional Mathematical/Programming/Physics Olympiad medals;
- Strong record of academic achievement (PhD or equivalent experience, scientific publications, conference presentations, grants or awards);
- Relevant experience in Research or Software engineering;
- Knowledge of financial economics, including but not limited to portfolio theory, asset pricing, corporate finance, derivatives, etc.;
- Knowledge and hands-on experience in AI, Machine Learning (ML), and LLMs.
What We Offer
~2 min readListing Details
- Posted
- November 6, 2025
- First seen
- March 26, 2026
- Last seen
- April 22, 2026
Posting Health
- Days active
- 26
- Repost count
- 0
- Trust Level
- 31%
- Scored at
- April 22, 2026
Signal breakdown
Please let Worldquant know you found this job on Jobera.
4 other jobs at Worldquant
View all →Explore open roles at Worldquant.
Browse Similar Jobs
Stay ahead of the market
Get the latest job openings, salary trends, and hiring insights delivered to your inbox every week.
No spam. Unsubscribe at any time.
