Job DescriptionWe 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.
The successful candidate will support the development, enhancement, and maintenance of risk analytics methodologies and tools for the firm's equity derivatives business. The role will involve close collaboration with trading desks, risk managers, model development teams, and technology partners.
Key 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
- Assist 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.
Required Qualifications - 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.
Preferred 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.
- Familiarity with equity derivatives products such as vanilla options, variance swaps, autocallables, barriers, or other structured products.
- 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.
Primary Location Full Time Salary Range of $100,000 - $140,000.
