Quant Analytics Manager [Multiple Positions Available]

JPMorgan Chase & Co.•New York, NY

15h•$168,500 - $215,000•Onsite

About The Position

The Quant Analytics Manager will perform model surveillance activities, including proposing enhancements, assessing scope extensions, and developing benchmarking models. This role involves validating quantitative forecasting frameworks to ensure they meet statistical criteria within the CIB Finance space through regression diagnostics, analysis of modelling assumptions, model specifications, and residual analysis. The manager will collaborate with cross-functional teams to evaluate model effectiveness, identify risks and limitations, and ensure compliance with regulatory and business requirements. Key responsibilities include leveraging feature selection techniques, refining and delivering model validation reports, overseeing model performance monitoring, and leading model governance initiatives within CIB Finance coverage. The role also involves guiding a team of associates, providing training, and ensuring compliance with regulatory requirements.

Requirements

Master's degree in Economics, Finance, Math, Statistics, or related field of study.
3 years of experience in the job offered or as Quant Analytics or related occupation.
Three (3) years of experience with Corporate and Investment Banking PPNR, balance sheet risk analysis, and stress forecasting leveraging advanced statistical and econometric computational techniques using Python packages including Statsmodels, Scikit-learn, and SciPy.
Applying probability theory and numerical methods to identify model risks and enhance model reliability.
Developing benchmark models for Corporate and Investment Banking PPNR and balance sheet forecasting and capital planning purposes.
Designing forecasting frameworks using quantitative approaches including linear regression, logistic regression, and time series modeling.
Designing scenarios, analyzing outcomes, and ensuring compliance with regulatory requirements through documentation and reporting using regulatory capital planning stress testing exercises, including CCAR and ICAA.
Crafting technical documentation and reports for both internal stakeholders and regulators.
Translating quantitative analyses into insights to facilitate communication.
Identifying model risk issues and implementing risk management controls and frameworks.
Developing strategies for regulatory capital planning stress testing exercises, recovery and resolution planning, and addressing controls gaps to mitigate potential risks.
Developing and integrating quantitative models into business processes and decision-making frameworks.
Implementing models, aligning model outputs with strategic business goals, and facilitating model review operational efficiency.
Lead projects to enhance model governance, ensuring compliance with internal and industry standards and regulatory guidelines, and drive continuous improvement in model development and application.

Responsibilities

Perform model surveillance activities, including proposing enhancements to existing models, assessing extensions to scope, and developing benchmarking models.
Validate quantitative forecasting frameworks to ensure they satisfy statistical criteria within the CIB Finance space by performing regression diagnostics on modelling assumptions, model specifications, and residual analysis.
Collaborate with cross-functional teams to evaluate model effectiveness, identify model risks and limitations, and ensure models meet regulatory and business requirements.
Leverage feature selection techniques to build benchmark models.
Refine and deliver model validation reports to model risk officers, model developers, and model users.
Oversee model performance monitoring activities, including quarterly ongoing model performance monitoring and model status assessment.
Lead model governance initiatives within CIB Finance coverage by partnering with Lines of Business, regulatory policy, financial reporting, quantitative research, and other finance and risk teams.
Guide a team of associates, including assigning tasks to junior team members, reviewing their work for quality and accuracy, and providing guidance to increase their efficiency and support their development.
Provide guidance on appropriate model usage and compensating controls and ensuring compliance with regulatory requirements.