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Quantitative Research [Multiple Positions Available][MRQRKL045331.006151]

JPMorgan Chase & Co.

NEW YORK, NYFull-time$200–285K/yrSeen 5 days agoSeen in employer's feed 5 days ago

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At a glance

Compensation
$200–285K/yr
Location
NEW YORK, NY
Schedule
Full-time
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Master's degree

Job overview

JPMorgan Chase seeks a quantitative researcher to develop and enhance derivative pricing and cross-asset diffusion models focused on commodities and foreign exchange. The role supports trading desks with risk and hedging analytics, assesses counterparty credit risk, and collaborates with front office and credit risk teams on transaction onboarding, approvals, and exposure monitoring. The position requires a relevant master’s degree and three years of experience.

Skills & qualifications

RequiredNice to have

Skills

No-Arbitrage PricingStochastic CalculusProbability TheoryMeasure TheoryReduced-Form Intensity ModelsStochastic ProcessesQuantitative ModelingModel CalibrationOptimization AlgorithmsC++Memory ManagementParallelizationMonte Carlo MethodsOptimization MethodsInterpolation MethodsApproximation MethodsStochastic Differential EquationsRegression MethodsCounterparty Credit RiskRegulatory CapitalEconometric MethodsStatistical LearningMachine LearningAutomated Workflow Frameworks

Qualifications

Master's in Financial Engineering, Mathematical Finance, Statistics, or Related Field3 Years Quantitative Research Experience

Full job description

JPMorgan Chase & Company JOB TITLE: Quantitative Research [Multiple Positions Available][MR-QR-KL-045331.006151] LOCATION: 270 Park Ave, New York, NY 10017. DUTIES: Drive end-to-end research, development, and enhancement of derivative pricing and cross-asset diffusion models focused on commodities and foreign exchange, including model testing and preparation of model documentation. Conduct ongoing model performance testing and serve as a point of contact during model review and re-review processes. Provide quantitative support to trading desks through analytical methodologies for profit-and-loss attribution, risk decomposition, and hedging evaluation. Develop frameworks that improve transparency of model behavior and risk factor dynamics. Collaborate with front office stakeholders on structuring and onboarding new transactions and asset types, including independent assessment and validation of counterparty credit risk metrics and exposure profiles. Interface with credit risk management functions to support pre-trade approval workflows and post-trade credit exposure monitoring in alignment with enterprise risk governance frameworks. REQUIREMENTS: Master's degree in Financial Engineering, Mathematical Finance, Statistics, or related field of study plus three (3) years of experience in the job offered or as Quantitative Research, Quantitative Analyst, or related occupation. This position requires three (3) years of experience with the following: Applying no-arbitrage pricing theory, stochastic calculus, probability theory, measure theory, reduced-form intensity models, and continuous-time stochastic processes to quantitative modeling and analytics across commodities such as North America and European Oil, Power, Gas, Emission, Base and Precious Metals, and foreign exchange markets including G10 and major emerging market currencies; Calibrating multi-factor models with seasonality and mean-reversion features using optimization algorithms to fit model parameters to observed market data; Developing and maintaining high-performance computational libraries using C++, including memory management, parallelization strategies, Monte Carlo methods, optimization methods, interpolation and approximation methods, stochastic differential equations, and regression methods; Quantifying counterparty credit risk metrics and regulatory capital measures to support risk management and governance processes; Constructing and deploying analytical tools for profit and loss attribution, risk decomposition, and hedging strategy evaluation using econometric methods, statistical learning, machine learning models, and automated workflow frameworks to support trading and risk management. Full-time. Salary: $200,000 - $285,000 per year. To apply for this position, please email your resume to [email protected] with following job ID clearly indicated: [MR-QR-KL-045331.006151]. JPMorgan Chase & Co. is an Equal Opportunity and Affirmative Action Employer, M/F/D/V.

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