Equity Derivatives Structuring [Multiple Positions Available]
$300,000–$350,000 year
On-siteNew York City, New York, United States or New York, United States
Job Summary
Design, price, and structure equity derivative products for institutional and retail clients, including put knock-outs, variance swaps, cliquets, and barrier options. Define payoff specifications, modeling assumptions, and economic terms while preparing term sheets and transaction documentation. Implement quantitative pricing and risk models to perform scenario and sensitivity analysis, then present comparative analyses to stakeholders. Coordinate with cross-functional teams to progress products through approval workflows, ensuring alignment with control requirements and timelines. Maintain pricing libraries, update analytical tooling, and prepare client-facing materials explaining payoff mechanics and risk profiles. Monitor risk sensitivities around issuance and lifecycle events, recommending hedging adjustments to trading teams. Validate inputs and confirm pricing outputs during transaction execution, review post-trade outcomes, and drive improvements to pricing logic and operating procedures. This role involves up to 10% domestic and international travel to JPMC and client sites.
Required Qualifications
- Master's degree in Mathematics of Finance, Computer Science, Finance, Financial Engineering, Economics, Mathematics, Statistics, or related field of study
- 7 years of experience in the job offered or as Equity Derivatives Structuring, Equity and Hybrids Derivatives Payoff Structuring, or related occupation
- Bachelor's degree in Mathematics of Finance, Computer Science, Finance, Financial Engineering, Economics, Mathematics, Statistics, or related field of study
- 9 years of experience in the job offered or as Equity Derivatives Structuring, Equity and Hybrids Derivatives Payoff Structuring, or related occupation
- 5 years of experience with designing, pricing, and structuring equity and hybrid derivatives, including light exotic payoffs, structured notes, and synthetic convertible bonds
- 5 years of experience with coding payoffs in C++, Python, VBA, and Bloomberg DLIB
- 5 years of experience with building Excel VBA models to support pricing, risk analysis, and term sheet calculations for structured products
- 5 years of experience with applying Python for statistical analysis, back testing, optimization methodologies, and performance evaluation of derivative strategies
- 5 years of experience with constructing and validating Monte Carlo simulation models to evaluate payoff distributions, Greeks measures, and transaction economics
- 5 years of experience with calibrating and applying local and stochastic volatility, stochastic rates, and jump calibration frameworks to market data for pricing and risk assessment of derivatives
- 5 years of experience with preparing client facing pitch materials and internal documentation that describe payoff mechanics, risks, and transaction economics to support approvals and execution
- 4 years of experience with developing and maintaining quantitative pricing tools using Python and C++ to model path dependent payoffs and produce scenario analyses
- 4 years of experience with developing hedging strategies to regulate delta, gamma, vega, and correlation exposures using listed options, futures, and related instruments
- 2 years of experience with writing SQL queries to retrieve, join, aggregate, and prepare pricing and positioning datasets for analytics and reporting
- 2 years of experience with using KDB/q and Bloomberg to manage time series market data, construct pricing inputs, and validate reference data for model calibration
- Up to 10% domestic and international travel to JPMC and client sites
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