Equity Derivatives Risk Quant, Associate

About the role

We are seeking a motivated and detail-oriented Equity Derivatives Risk Quant at the Associate Level to join our Equity Risk Analytics team. This role is well suited for candidates with a strong quantitative background, solid programming skills, and early-career experience or demonstrated academic exposure in equity derivatives risk analytics, including VaR, volatility calibration, option pricing, scenario analysis, and stress testing.

Responsibilities

• Support the design, implementation, and enhancement of risk analytics solutions for equity derivatives, including:
• Volatility surface calibration
• Vanilla option pricing and risk analytics
• Value-at-Risk (VaR) calculations
• Scenario analysis and stress testing
• Sensitivity and exposure analysis
• Aid in developing and maintaining tools for pricing, volatility calibration, and risk reporting across equity derivatives products.
• Daily work with Market Risk, Credit Risk, SIMM, Quantitative Risk Development, and Technology teams to ensure risk measures are accurate, consistent, and robust.
• Analyze model outputs, risk exposures, and market data to identify issues, explain movements, and support risk management decisions.
• Contribute to methodology development for equity derivatives risk, including proxy modeling, time series construction, volatility modeling, and risk factor analysis.
• Help investigate and resolve production issues related to risk calculations, data quality, model behavior, and analytics infrastructure.
• Prepare clear documentation and analysis to support model development, validation, governance, and stakeholder communication.

Requirements

• Master’s or PhD in Quantitative Finance, Mathematics, Statistics, Physics, Engineering, Computer Science, or a related quantitative field.
• 0–3 years of relevant experience in quantitative finance, risk analytics, derivatives modeling, or a related area.
• Academic, internship, or professional experience with equity derivatives, risk analytics, or related quantitative methods.
• Familiarity with one or more of the following areas:
• Equity option pricing
• Volatility surface calibration
• Value-at-Risk (VaR)
• Stress testing and scenario analysis
• Greeks and sensitivity analysis
• Market data and time series analysis
• Strong programming skills, preferably in Python, with the ability to write clean, efficient, and well-documented code.
• Strong analytical and problem-solving skills, with a high level of attention to detail.
• Hard-working, diligent, and proactive, with a willingness to learn complex products, models, and systems.
• Good communication skills and ability to work effectively with quantitative, risk, trading, and technology teams.

Qualifications

• Prior internship or full-time experience in equity risk analytics, equity derivatives, market risk, quantitative research, or model development.
• Experience with VaR, volatility modeling, option pricing, or risk factor modeling.
• Exposure to regulatory or risk frameworks such as capital charge calculations, or stress testing methodologies.
• Experience working with large datasets, market data, time series, or risk production systems.
• Familiarity with the EQF platform is desirable but not required.