Equity Derivatives Risk Quant, Associate

Jefferies; New York (NY); On-site; USD 100,000 - 140,000; Full time

Job summary

Jefferies is seeking an Equity Derivatives Risk Quant at associate level to contribute to the Equity Risk Analytics team. You will develop risk analytics for equity derivatives, including VaR, volatility calibration and scenario analysis, while collaborating with trading, risk managers and technology teams.

The role emphasizes strong quantitative background and programming skills, with 0–3 years of related experience and a proactive approach to learning complex products and systems.

Qualifications

• Master’s or PhD in quantitative field such as finance, math, stats, physics, engineering or CS.
• Strong programming skills, preferably Python.
• Excellent analytical and problem‑solving abilities.

Responsibilities

• Design, implement and maintain equity derivatives risk analytics.
• Collaborate with trading, risk, model development and tech teams.
• Analyze model outputs and market data to support risk decisions.
• Document methodologies and governance for risk analytics.

Skills

Python

Analytical thinking

Communication

Education

Master’s or PhD in Quantitative Field

Job description

Equity Derivatives Risk Quant – Associate Level

We are seeking a motivated and detail-oriented Equity Derivatives Risk Quant 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.

Salary

$100,000 - $140,000.

Equal Employment Opportunity

Jefferies is a leading global, full-service investment banking and capital markets firm that provides advisory, sales and trading, research, and wealth and asset management services. Jefferies is committed to building a culture that provides opportunities for all employees regardless of our differences and supports a workforce that is reflective of the communities where we work and live. We are committed to hiring the most qualified applicants and complying with all federal, state, and local equal employment opportunity laws. As part of this commitment, Jefferies will extend reasonable accommodation to individuals with disabilities, as required by applicable law.