Quantitative Analyst II
AffirmFull Time
Mid-level (3 to 4 years)
Key technologies and capabilities for this role
Common questions about this position
WorldQuant offers highly competitive compensation for this position.
This information is not specified in the job description.
Candidates need an advanced degree in a quantitative field, proficiency in C/C++, Python, or similar languages, excellent problem-solving abilities, and strong collaboration skills.
WorldQuant emphasizes a culture pairing academic sensibility with accountability for results, encouraging open thinking, continuous improvement, and a friendly, collegial working environment.
A strong candidate will have an excellent academic record from a leading university in a quantitative field like Physics or Computer Science, proficiency in programming languages such as C/C++ or Python, and the ability to thrive in a collaborative team environment.
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.