Quantitative Researcher - IPM (India)

About this job

WorldQuant creates and deploys systematic financial strategies across various asset classes and global markets, focusing on producing high-quality predictive signals through a proprietary research platform. The Mumbai-based Quantitative Researcher role sits at the core of the company, where research and data application drive financial strategy. In this position, you will use a research scientist mindset to explore data and build computer-based models designed to predict movements in global financial markets. A normal day involves collaborating with team members, thinking critically to challenge conventional methods, and engaging in rigorous exploration to discover new alphas. You will tackle unsolved challenges by creating mathematical expressions of data to act as inputs for quantitative models, balancing academic sensibility with practical results in a fast-paced environment.

Responsibilities

• Develop computer-based models to predict global financial market movements
• Produce high-quality predictive signals or alphas through a proprietary research platform
• Explore data rigorously to identify market inefficiencies and undiscovered signals
• Collaborate with team members to drive the production of financial strategies
• Communicate complex concepts in simple terms using strong English skills

Requirements

• Ph.D. or M.S. degree from a leading university in a quantitative or highly analytical field
• Ranked in the top 10% of bachelor's degree class
• Demonstrated ability to program in Python and C/C++ on a Unix/Linux platform
• Possess excellent problem-solving abilities and judgment with strong attention to detail
• Demonstrate a strong interest in learning about finance and global markets
• Have a research scientist mindset with a self-starter and creative approach
• Open for all departments with a GPA score above 8.5

Good to have

• Prior finance experience
• Ability to operate in a collaborative and team-oriented culture
• Talent for challenging conventional thinking with continuous improvement

Who should apply

This role suits analytical minds with a research scientist approach, such as individuals holding a Ph.D. or M.S. in quantitative fields like Physics, Computer Science, Mathematics, or Electrical Engineering. It is ideal for self-starters who possess exceptional intellectual horsepower, strong programming skills in Python and C/C++, and a burning curiosity for financial markets. While prior finance experience is not mandatory, candidates must have a strong desire to learn about global finance and thrive in a collaborative environment.

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