Remote Jobs at WorldQuant

Candidates should be pursuing a B.S., M.S., or Ph.D. degree from a leading university in related fields such as mathematics, statistics, computer science, physics, or engineering, and possess a strong interest in learning about finance and global markets. A successful candidate must demonstrate exceptional intellectual horsepower and a talent for problem-solving.

Candidates should possess a strong interest in learning about finance and global markets, and a desire to apply machine learning techniques to financial datasets. Prior finance experience is not required, but a successful candidate must demonstrate a willingness to learn and contribute to the firm’s research platform.

Candidates must possess a PhD or Master’s degree from a top university in computer science, mathematics, statistics, physics, engineering, or quantitative finance, and have 2-8 years of experience in quantitative research and/or quantitative development for systematic strategies. They should demonstrate proficiency in programming languages such as Python and/or C++, with a strong foundation in data structures and algorithms, and possess working knowledge of Linux.

Candidates must possess a PhD or Master’s degree from a top university in computer science, mathematics, statistics, physics, engineering, or quantitative finance, demonstrating proficiency in programming languages such as Python and/or C++, with a strong understanding of data structures and algorithms. Familiarity with Linux is also required, alongside strong problem-solving abilities and a commitment to moral integrity and a strong work ethic.

Candidates should be currently pursuing a Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related technical field, possessing basic to intermediate proficiency in Python programming, and an understanding of software development principles and methodologies. Familiarity with data structures and algorithms is also required, along with an interest in finance, quantitative trading, or financial data, and a basic understanding of APIs and data formats like JSON or C…

Candidates should be currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field, possessing basic to intermediate proficiency in Python programming, an understanding of software development principles and methodologies, and familiarity with data structures and algorithms. Interest in finance, quantitative trading, or financial data is beneficial, along with a basic understanding of APIs and data formats like JSON or CSV.