Equity Derivatives Structuring [Multiple Positions Available]

JPMorganChase•New York City, NY

8d•Onsite

About The Position

This role involves designing, pricing, and structuring a variety of equity derivative products for both institutional and retail clients. Responsibilities include developing complex financial instruments, preparing documentation, implementing quantitative models, performing risk analysis, and coordinating with cross-functional teams. The position also requires supporting transaction execution, reviewing post-trade outcomes, and driving improvements in pricing logic and operational procedures. Travel up to 10% is required.

Requirements

Master's degree in Mathematics of Finance, Computer Science, Finance, Financial Engineering, Economics, Mathematics, Statistics, or related field of study plus 7 years of experience in the job offered or as Equity Derivatives Structuring, Equity and Hybrids Derivatives Payoff Structuring, or related occupation.
OR Bachelor's degree in Mathematics of Finance, Computer Science, Finance, Financial Engineering, Economics, Mathematics, Statistics, or related field of study plus 9 years of experience in the job offered or as Equity Derivatives Structuring, Equity and Hybrids Derivatives Payoff Structuring, or related occupation.
Five (5) years of experience designing, pricing, and structuring equity and hybrid derivatives, including light exotic payoffs, structured notes, and synthetic convertible bonds.
Five (5) years of experience coding payoffs in C++, Python, VBA, and Bloomberg DLIB.
Five (5) years of experience building Excel VBA models to support pricing, risk analysis, and term sheet calculations for structured products.
Five (5) years of experience applying Python for statistical analysis, back testing, optimization methodologies, and performance evaluation of derivative strategies.
Five (5) years of experience constructing and validating Monte Carlo simulation models to evaluate payoff distributions, Greeks measures, and transaction economics.
Five (5) years of experience calibrating and applying local and stochastic volatility, stochastic rates, and jump calibration frameworks to market data for pricing and risk assessment of derivatives.
Five (5) years of experience preparing client facing pitch materials and internal documentation that describe payoff mechanics, risks, and transaction economics to support approvals and execution.
Four (4) years of experience developing and maintaining quantitative pricing tools using Python and C++ to model path dependent payoffs and produce scenario analyses.
Four (4) years of experience developing hedging strategies to regulate delta, gamma, vega, and correlation exposures using listed options, futures, and related instruments.
Two (2) years of experience writing SQL queries to retrieve, join, aggregate, and prepare pricing and positioning datasets for analytics and reporting.
Two (2) years of experience using KDB/q and Bloomberg to manage time series market data, construct pricing inputs, and validate reference data for model calibration.

Responsibilities

Design, price, and structure equity derivative products for institutional clients, including put knock-outs on realized variance, variance swaps, knock-out variance swaps, cliquets, barrier options, and lookback options.
Develop structured notes, accumulators, and autocallables for retail clients.
Pitch products to a wide range of institutional clients.
Define payoff specifications, modeling assumptions, constraints, and economic terms.
Prepare term sheets and transaction documentation to support risk governance and approvals.
Implement quantitative pricing and risk models.
Perform scenario and sensitivity analysis to evaluate payoff behavior and risk characteristics across market regimes.
Present comparative analyses to stakeholders to guide product selection.
Coordinate with cross-functional teams to progress products through approval workflows and execution, ensuring alignment with control requirements and timelines.
Maintain and update pricing libraries and analytical tooling.
Prepare internal analyses and client facing materials that explain payoff mechanics, risk profiles, and transaction economics in decision ready formats.
Monitor risk sensitivities and exposures around issuance and lifecycle events; recommend hedging adjustments and follow up actions to trading teams.
Support transaction execution by validating inputs, confirming pricing outputs, and resolving issues arising during booking, trade capture, and settlement processes.
Review post trade outcomes and model performance.
Drive improvements to pricing logic, data inputs, controls, and operating procedures to enhance accuracy and efficiency.