Quantitative Researcher: Machine Learning
13 hours ago
India
Versor Investments (“Versor”) is a quantitative investment boutique headquartered in Midtown Manhattan. Versor creates diversified sources of absolute returns across multiple asset classes. Within a scientific, hypothesis-driven framework, Versor leverages modern statistical methods and vast datasets to drive every step of the investment process. Alpha forecast models, portfolio construction, and the trading process rely on the ingenuity and mathematical expertise of 50+ investment professionals. Versor offers two categories of investment products - Hedge Funds and Alternative Risk Premia. Both are designed to provide superior risk-adjusted returns while exhibiting low correlation to traditional and alternative asset classes. Each invests in liquid, scalable markets. On average, Versor’s partners have spent over 20 years researching, investing and trading systematic alternative investment strategies.
**Role Summary**:
The Quantitative Researcher position will be based in Mumbai and be a part of the Portfolio Research team. He / She will collaborate 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 refine risk management and portfolio optimization models.
- Identify potential enhancements to quantitative investment process.
- Review research papers and journals, as a 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.
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