Quantitative Modeling Lead [Multiple Positions Available]
About The Position
Duties: Act as a "Subject area expert" for Central Counterparty (CCP) quantitative related issues. Create models and tools to assess adequacy of CCP margin requirements of cleared derivatives. Develop models and tools to support the evaluation of the efficacy of risk frameworks. Develop statistical models and tools for the assessment and management of counterparty credit risk. Design and implement software framework for counterparty credit risk in Python/R, delivering results through dashboards. Partner with control teams for ongoing model and risk governance. Engage tech partners to deploy the models to traders' desktops. QUALIFICATIONS: Minimum education and experience required: Bachelor's degree in Electronic Engineering, Business, Finance, or related field of study plus 6 years (72 months) of experience in the job offered or as Quantitative Modeling Lead, Quant Analytics Manager, Model Risk Program, Qualitative Model Review, Tech Sales Specialist, Counterparty Risk Lead, or related occupation. Skills Required: This position requires four (4) years of experience with the following: working with a large Bank or Hedge Fund; developing advanced quantitative models using Python or R programming languages. This position requires any amount of experience with the following: Building or reviewing quantitative models of Counterparty Credit Risk, including CCAR and margin models; statistical, econometric and simulation based modelling techniques, including regression models, copula models, and PCA based models; building or reviewing Market Risk, Liquidity Risk and Credit Risk models, specifically applying Stress (Scenario) Analysis and Value-at-Risk techniques; data manipulation tools and techniques, including SQL; Excel based model development; Analytics products, solutions, and platforms. Job Location: 545 Washington Blvd, Jersey City, NJ 07310. Full-Time. Salary: $189,200 -$215,000 per year. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, discretionary incentive compensation which may be awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. In addition, please visit: https://careers.jpmorgan.com/us/en/about-us.
Requirements
- Bachelor's degree in Electronic Engineering, Business, Finance, or related field of study plus 6 years (72 months) of experience in the job offered or as Quantitative Modeling Lead, Quant Analytics Manager, Model Risk Program, Qualitative Model Review, Tech Sales Specialist, Counterparty Risk Lead, or related occupation.
- 4 years of experience with working with a large Bank or Hedge Fund
- 4 years of experience with developing advanced quantitative models using Python or R programming languages.
- Experience with Building or reviewing quantitative models of Counterparty Credit Risk, including CCAR and margin models
- Experience with statistical, econometric and simulation based modelling techniques, including regression models, copula models, and PCA based models
- Experience with building or reviewing Market Risk, Liquidity Risk and Credit Risk models, specifically applying Stress (Scenario) Analysis and Value-at-Risk techniques
- Experience with data manipulation tools and techniques, including SQL
- Experience with Excel based model development
- Experience with Analytics products, solutions, and platforms.
Responsibilities
- Act as a "Subject area expert" for Central Counterparty (CCP) quantitative related issues.
- Create models and tools to assess adequacy of CCP margin requirements of cleared derivatives.
- Develop models and tools to support the evaluation of the efficacy of risk frameworks.
- Develop statistical models and tools for the assessment and management of counterparty credit risk.
- Design and implement software framework for counterparty credit risk in Python/R, delivering results through dashboards.
- Partner with control teams for ongoing model and risk governance.
- Engage tech partners to deploy the models to traders' desktops.
Benefits
- competitive total rewards package including base salary determined based on the role, experience, skill set, and location
- discretionary incentive compensation which may be awarded in recognition of individual achievements and contributions
- comprehensive health care coverage
- on-site health and wellness centers
- a retirement savings plan
- backup childcare
- tuition reimbursement
- mental health support
- financial coaching
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
