Equity Risk Management Analyst

The Equity Risk Management Analyst will support a systematic equity long/short investment strategy employing a statistical arbitrage approach with high intraday turnover. The role is responsible for monitoring portfolio risk, exposures, and limits, and for providing timely risk analysis to investment and trading teams. This position requires strong quantitative skills, attention to detail, and experience working with systematic equity strategies.

• Key Responsibilities
  • Calculate, monitor, and report portfolio risk metrics, including Value at Risk (VaR) and related measures.
  • Establish and monitor daily position limits, gross and net exposure limits, and other risk controls.
  • Monitor industry, sector, and factor exposures to ensure alignment with portfolio guidelines.
  • Conduct intraday and end-of-day risk analysis for systematic equity portfolios with elevated turnover.
  • Identify and elevate potential risk issues, including concentration risk, factor exposure breaches, and correlation changes.
  • Prepare regular risk reports and dashboards for internal stakeholders.
  • Perform stress testing and scenario analysis to assess portfolio behavior under adverse market conditions.
  • Collaborate with portfolio managers, traders, and quantitative teams to support risk oversight and portfolio transparency.
  • Assist in the ongoing development and enhancement of risk management processes and tools.
• Required Qualifications
  • Bachelor’s or Master’s degree in Finance, Economics, Mathematics, Statistics, Engineering, Financial Engineering, Data science, or a related field.
  • 2–5 years of professional experience in equity risk management, preferably supporting systematic or quantitative investment strategies.
  • Working knowledge of equity long/short portfolios and statistical arbitrage strategies.
  • Experience calculating and analyzing VaR and other quantitative risk measures.
  • Understanding of equity factor models and exposure analysis.
  • Familiarity with intraday or high-turnover trading strategies.
  • Strong analytical skills with a foundation in statistics and quantitative methods.
  • Experience working with large financial datasets.
  • Experience performing stress testing under extreme adverse market conditions.
• Preferred Qualifications
  • Knowledge of machine learning techniques applied to investment or risk analysis.
  • Familiarity with common statistical arbitrage methodologies.
  • Programming experience in Python or similar languages.
  • Experience developing or maintaining risk monitoring and reporting systems.
  • Understanding of liquidity risk, transaction costs, and market impact.

• Opportunities for professional growth and career development within a growing company environment.
• Support for professional development, including mentorship, continuous learning, and assistance with relevant professional certifications
• Competitive compensation packages
• 401(k) with company match, and comprehensive health, dental, and vision benefits