Key technologies and capabilities for this role
Common questions about this position
Compensation is transparent and formula-based.
This information is not specified in the job description.
Candidates need 2+ years’ experience in developing systematic strategies with a verifiable track record of positive PnL and Sharpe, plus strong programming skills in Python and C++.
The culture features an academic sensibility paired with accountability for results, encouraging open thinking and continuous improvement.
A strong candidate will have 2+ years of experience developing systematic strategies with a proven track record of positive PnL and Sharpe, strong programming skills in Python and C++, and the ability to independently lead and grow quantitative portfolios.
Quantitative asset management using algorithms
WorldQuant is a quantitative asset management firm that focuses on managing investments for institutional clients like pension funds and sovereign wealth funds. The firm uses data and predictive algorithms to analyze financial markets and identify investment opportunities. Its approach involves algorithmic trading, where mathematical models guide investment decisions. Unlike many competitors, WorldQuant encourages a culture of experimentation and innovation among its employees, allowing everyone to contribute ideas regardless of their position. The company's goal is to generate returns for its clients while maintaining a commitment to equal opportunity in the workplace.