Quantitative Analyst II
AffirmFull Time
Mid-level (3 to 4 years)
Key technologies and capabilities for this role
Common questions about this position
Yes, the position is remote.
The salary is competitive, but specific details are not provided.
Candidates need proficiency in programming languages such as Python or R, a solid understanding of machine learning techniques, and strong interest in finance and global markets. A degree from a leading university in fields like Mathematics, Statistics, Computer Science, Physics, or Engineering is required.
The culture combines academic sensibility with accountability for results, encourages open thinking, continuous improvement, and values intellectual horsepower.
Benefits include competitive compensation, an established mentoring program with one-on-one guidance, opportunities for global collaboration, flexible work arrangements, and a comfortable working environment with rich employee activities.
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.