Quantitative Researcher: Machine Learning

Versor Investments; New York (NY); On-site; Full time

Job description

Quantitative Researcher

India

Company Overview

Versor Investments (“Versor”) is a pioneer in applying AI and alternative data to global equity markets. As a quantitative equities boutique, we focus on systematically delivering uncorrelated alpha across single stocks, equity index futures, and corporate events. Founded in 2014 and headquartered in New York, Versor manages assets on behalf of a global client base. Our edge is defined by four core pillars that underpin how we operate and how we continue to stay at the frontier of quantitative investing. These include the use of alternative data across both developed and emerging markets, a disciplined integration of artificial intelligence with human judgment and domain expertise, deep experience in systematic investing, and an embedded approach to risk management that informs research, portfolio construction, and implementation.

Role Summary

The Quantitative Researcher position will be based in Mumbai and is part of the Portfolio Research team. The role collaborates closely with senior researchers to develop rigorous scientific methods and analytics for a sophisticated quantitative investment process covering forecast models, risk management models, and portfolio optimization tools.

Responsibilities

• Develop and apply advanced statistical techniques, machine learning models, and predictive analytics to build forecast models using large datasets.
• Develop and refine risk management and portfolio optimization models.
• Identify potential enhancements to the quantitative investment process.
• Review research papers and journals, as part of the research process.
• Manage different aspects of the research process including methodology selection, data collection and analysis, prototyping and back‑testing.
• Build systems for implementation of quantitative investment process.
• Contribute towards white papers and thought leadership articles published by the firm.

Qualifications

• PhD (or equivalent research experience) in statistics, machine learning, computer science, economics, physics, or other quantitative disciplines from a top‑tier institution.
• Excellent mathematical and statistical skills with proficiency in statistical modeling, predictive modeling, and machine learning.
• Demonstrate ability to conduct independent in-depth research utilizing large datasets.
• Validate prior research experience through research publications.
• Working knowledge of Python will be beneficial.
• Good written and oral communication skills.
• Good coordination skills and ability to work in a team.