Quantitative Researcher
YipitDataFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
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Common questions about this position
The position offers a competitive compensation package including bonuses and salary.
This information is not specified in the job description.
Candidates need 3 years of experience in quantitative equity research, a degree from a top university in a quantitative field like Mathematics or Computer Science, solid programming skills in C++ and Python, good English communication skills, and a research mindset with critical thinking.
WorldQuant pairs academic sensibility with accountability for results, encourages open thinking about problems, balancing intellectualism and practicality, and fosters continuous improvement where excellent ideas come from anyone.
Strong candidates have proven quantitative equity research experience, top-tier education in analytical fields, strong C++ and Python skills, and demonstrate intellectual horsepower, creativity, critical thinking, and a self-starter mindset.
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.