Jobs · Finance · New York

Equity Derivatives Structuring [Multiple Positions Available]

JPMorganChase · New York, NY · 3 wk ago
On-siteFinance$300k–$350k/yrFull-time

About the role

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. This position requires up to 10% domestic and international travel to JPMC and client sites.

Responsibilities

  • 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.

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.
  • Alternatively, a Bachelor's degree in the same fields plus 9 years of experience in the job offered or as Equity Derivatives Structuring, Equity and Hybrids Derivatives Payoff Structuring, or related occupation.

Skills

This position requires:

  • Five (5) years of experience with:
    • Designing, pricing, and structuring equity and hybrid derivatives, including light exotic payoffs, structured notes, and synthetic convertible bonds, and coding payoffs in C++, Python, VBA, and Bloomberg DLIB.
    • Building Excel VBA models to support pricing, risk analysis, and term sheet calculations for structured products.
    • Applying Python for statistical analysis, backtesting, optimization methodologies, and performance evaluation of derivative strategies.
    • Constructing and validating Monte Carlo simulation models to evaluate payoff distributions, Greeks measures, and transaction economics.
    • Calibrating and applying local and stochastic volatility, stochastic rates, and jump calibration frameworks to market data for pricing and risk assessment of derivatives.
    • 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 with:
    • Developing and maintaining quantitative pricing tools using Python and C++ to model path-dependent payoffs and produce scenario analyses.
    • Developing hedging strategies to regulate delta, gamma, vega, and correlation exposures using listed options, futures, and related instruments.
  • Two (2) years of experience with:
    • Writing SQL queries to retrieve, join, aggregate, and prepare pricing and positioning datasets for analytics and reporting.
    • Using KDB/q and Bloomberg to manage time-series market data, construct pricing inputs, and validate reference data for model calibration.

Location

270 Park Avenue, New York City, NY 10017

Pay

$300,000 - $350,000 per year

Benefits

  • Comprehensive health care coverage
  • On-site health and wellness centers
  • Retirement savings plan
  • Backup childcare
  • Tuition reimbursement
  • Mental health support
  • Financial coaching
  • Discretionary incentive compensation (cash and/or forfeitable equity)

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