Quant Researcher

Salary $200,000 - $300,000
LocationNew York
Employment type Permanent
Discipline

Job description

Title: Quantitative Researcher, Equity Model Research (EMR)
Location: New York

About Us

We are a leading alternative investment manager, managing capital on behalf of a diverse set of private, public, and nonprofit institutions. For over 30 years, we have cultivated a culture of learning and collaboration among some of the most talented and accomplished investment professionals, researchers, and engineers. Our colleagues are empowered to test their ideas and develop commercial solutions that accelerate their growth and drive real impact.

About Equity Quantitative Research

Equity Quantitative Research (EQR) sits at the intersection of a fundamental investment approach and quantitative rigor and discipline. Teams of quantitative researchers and developers work together to optimize various aspects of the investment, risk management, portfolio construction, and trade execution lifecycle. EQR’s teams are small and highly collaborative – each member makes meaningful contributions to the research agenda and direction, and has visible impact on our investments.

Equity Model Research

The Equity Model Research team (EMR) is responsible for the tools and analytics required for portfolio construction, risk management, and hedging. The customized risk models and hedging framework developed by EMR are central to our ability to manage our business and provide a competitive advantage to our investment teams.

Responsibilities

  • Research portfolio construction and optimization in the context of large, complex equity portfolios.
  • Apply cutting-edge computational techniques and statistical methods to solve complex problems.
  • Build proprietary risk models for both fundamental and quant equity long-short strategies.
  • Develop econometric and mathematical models to define stress scenarios and estimate the statistical properties of drawdowns.
  • Leverage economic models and financial analysis to define fundamental factors driving the cross-section of stock returns.
  • Engage with various engineering and research teams to implement analytics in production.
  • Work closely with Portfolio Managers and Risk Managers to understand and incorporate risk metrics and methodologies within the investment process.
  • Stay up-to-date on the latest academic and industry research and challenge yourself to continually improve and challenge the way things are done.
  • Explore new and alternative data sources while developing a deep understanding of financial markets.

Requirements

  • Bachelor's, Master's, or Ph.D. in Statistics, Mathematics, Operations Research, Economics, or a related field.
  • Advanced training in Statistics, Mathematics, Finance/Financial Engineering, or a related field.
  • Strong mathematical and/or statistical modeling background.
  • Demonstrated empirical skill; comfortable with analysis of large datasets.
  • Intellectual curiosity and passion for solving investment problems through the use of technology and fundamentals.
  • Demonstrated interest in or knowledge of investments, including asset pricing, empirical anomalies, and market microstructure.
  • Previous exposure to a quantitative research role with exposure to equity factor models preferred.
  • Experience using statistical packages (e.g., Matlab, R) and experience with programming & scripting languages (e.g., Python, C/C++).

Join our team and work alongside some of the best professionals in the industry. Leverage your quantitative research skills to drive impactful results and innovate within a collaborative and dynamic environment.