Equity Derivatives Risk Quant, Associate

Posted Yesterday
Be an Early Applicant
New York, NY, USA
In-Office
100K-140K Annually
Junior
Financial Services
The Role
Support development and maintenance of equity derivatives risk analytics: volatility calibration, option pricing, VaR, scenario and stress testing, sensitivity analysis, methodology enhancement, production issue resolution, and stakeholder documentation.
Summary Generated by Built In

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.

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. 

About Us

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. With more than 40 offices around the world, we offer insights and expertise to investors, companies, and governments.

At Jefferies, we are 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. As a result, we are able to pool our collective insights and intelligence to provide fresh and innovative thinking for our clients.

Jefferies is committed to creating and sustaining a workforce that welcomes individuals from all backgrounds to apply. Our employment decisions are made without regard to race, creed, color, national origin, ancestry, religion, pregnancy, age, medical condition, physical or mental disability, marital status, domestic partner status, sex, sexual orientation, gender, gender identity or expression, veteran or military status, genetic information, reproductive health decisions, or any other factor protected by applicable law. 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.

The salary offered will take into consideration an individual’s experience level and qualifications. In addition to salary, Jefferies Financial Group is proud to offer a comprehensive benefits package to eligible, full-time employees or part-time employees, who are scheduled to work at least 30 hours or more per week, including an annual discretionary incentive and retention bonus, competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Jefferies also offers paid time off packages that include planned time off (e.g., vacation), unplanned time off (e.g., sick leave), and paid holidays, and for full-time employees, paid parental leave.


Skills Required

  • Master's or PhD in Quantitative Finance, Mathematics, Statistics, Physics, Engineering, Computer Science, or related field
  • 0-3 years of relevant experience in quantitative finance, risk analytics, or derivatives modeling
  • Academic, internship, or professional experience with equity derivatives or risk analytics
  • Familiarity with equity option pricing, volatility surface calibration, VaR, stress testing, Greeks, and time series analysis
  • Strong programming skills in Python, with ability to write clean, efficient, documented code
  • Strong analytical and problem-solving skills with high attention to detail
  • Good communication skills and ability to work with quantitative, risk, trading, and technology teams
  • Prior internship or full-time experience in equity risk analytics, market risk, quantitative research, or model development
  • Familiarity with equity derivatives products (vanilla options, variance swaps, autocallables, barriers, 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

Jefferies Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Jefferies and has not been reviewed or approved by Jefferies.

  • Strong & Reliable Incentives Compensation is positioned as competitive with meaningful upside, with potential for significant earnings depending on group performance and strong years. A formulaic, performance-linked bonus model ties payouts to individual fees or P&L, reinforcing a pay-for-results dynamic.
  • Parental & Family Support Family-building support is broad, including primary and non-primary caregiver leave, adoption assistance, subsidized emergency child and eldercare, and a $25,000 stipend for qualified surrogacy, adoption, or fertility support. Added resources like family support programs and parental-leave coaching further strengthen caregiver benefits.
  • Wellbeing & Lifestyle Benefits Lifestyle perks extend beyond standard coverage, including discount programs, commuter benefits, legal plans, charitable matching, and education assistance such as tuition support and scholarships for employees’ family members. Location-specific perks like gym stipends and free cafeteria lunch are also described as available in some offices.

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The Company
HQ: New York, NY
6,435 Employees
Year Founded: 1962

What We Do

Jefferies, the global investment banking firm, has served companies and investors for 60 years. Headquartered in New York, with offices in over 30 cities around the world, the firm provides clients with capital markets and financial advisory services, institutional brokerage and securities research, as well as asset and wealth management. The firm provides research and execution services in equity, fixed income, and foreign exchange markets, as well as a full range of investment banking services including underwriting, mergers and acquisitions, restructuring and recapitalization, and other advisory services, with all businesses operating in the Americas, Europe and Asia. Jefferies Group LLC is a wholly-owned subsidiary of Jefferies Financial Group (NYSE: JEF), a diversified financial services company. More about our company can be found at www.jefferies.com.

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