Quantitative Researcher

Beijing💼 Full-time🗓 2026-05-04 → 2026-09-26

Core

Build computer-based models to predict global financial market movements and generate predictive signals (alphas) for systematic financial strategies.

Role type

Junior Quantitative Researcher (Research & Modeling)

Builds

Predictive financial models and alphas

Domain

Global financial markets, quantitative finance

Deliverable

production ML models

Required skills

Programming (C++, Python), Linux/Unix systems, Investment research process understanding, Data analysis

Preferred skills

Academic background in Electrical Engineering, Physics, Computer Science, Mathematics, Financial Engineering, or Big Data

Technologies

C++, Python, Linux, Unix

Responsibilities

Analyze and apply various data types to financial markets through rigorous exploration; Build models to predict global financial market movements.

Seniority

Junior, recent graduate (2025-2026)

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About 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.