Senior Machine Learning Scientist
QlooFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
Candidates must be familiar with modeling, data structures, algorithms, and optimizations; have strong knowledge of machine/deep learning algorithms; and be proficient in C++ and Python.
This information is not specified in the job description.
This information is not specified in the job description.
WorldQuant emphasizes a culture of intellectual horsepower, continuous improvement, and collaborative problem-solving.
A strong candidate holds a Master’s degree or higher in Computer Science, Electrical Engineering, or a related field from a leading university, has a good academic record, strong technical skills in ML and programming, good communication skills, and personal attributes like being a deep thinker, creative, persevering self-starter who thrives in a fast-paced 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.