User Research Intern
SleeperFull Time
Internship, Entry Level & New Grad, Junior (1 to 2 years)
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Candidates need a BS (Hons), MS or PhD in Math, Physics, Computer Science or Engineering (preferred), excellent academic records, and experience working under a Linux environment. Prior quant analysis or trading experience is a benefit, along with a research scientist mindset as a self-starter and deep problem solver.
WorldQuant has a culture that pairs academic sensibility with accountability for results, encouraging open thinking, challenging conventional ideas, continuous improvement, and valuing intellectual horsepower from anyone.
Strong candidates have excellent academic records in Math, Physics, Computer Science or Engineering, a research scientist mindset, self-starter qualities, creative deep problem-solving skills, and a strong interest in financial markets.
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.