JP Morgan Chase

Runs a consumer bank and an investment bank

Implementation & Analytics Vice President

Quantitative RiskConfirmed live in the last 24 hours

Full-timeNew York, NY, USA$145k - $210kIn-person

About the Job

Requirements

An advanced degree (Master’s, B.Tech, or equivalent) in Computer Science, Data Science, Engineering, Mathematics, or a related field is required.
At least 3 years of experience in data analytics, data engineering, market risk capital, or market risk coverage is required.
A solid understanding of market risk concepts and data domains across asset classes and financial products is required.
Strong quantitative, analytical, and problem-solving skills, including hands-on proficiency in data analysis tools, are required.
Experience delivering complex technical and analytical projects from inception to completion is required.
Leadership, analytical, and influencing skills to support business decisions are required.
A process and control mindset, self-motivation, attention to detail, innovation, and initiative to drive issues to resolution are required.
Verbal and written communication skills to convey complex concepts to diverse audiences are required.
Stakeholder management and relationship-building skills, including delivering results under pressure, are required.
Experience gathering, reviewing, and translating end-user and data requirements into clear specifications is required.

Responsibilities

Lead core data initiatives and analytics supporting FRTB implementation across the Internal Models Approach (IMA) and Standardized Approach (SA).
Enable data-driven market risk capital scenario analyses for evolving regulatory rules while ensuring data quality, transparency, and auditability.
Partner with product and project managers to monitor deliverables and communicate progress, risks, and blockers to senior management.
Design, develop, and own advanced market risk data pipelines and capital estimation modules for regulatory submissions and management reporting.
Own and enhance capital calculation and attribution processes, including documentation, controls, and governance.
Interpret regulatory and business requirements with market risk stakeholders to scope and deliver data and analytics solutions.
Develop and maintain market risk knowledge across asset classes and financial products.
Support the production, analysis, and explanation of capital results for regulatory and internal reporting.
Represent the firm in industry working groups and regulatory meetings to advocate for best practices and stay current on regulations.
Advance adoption of AI, large language models, and data product solutions to enhance analytics, automation, and decision-making.
Gather, review, and translate end-user and data requirements into clear specifications for development teams.

Desired Qualifications

Knowledge of modern data architecture, data modeling, and data governance frameworks is preferred.
Familiarity with quantitative finance, trading strategies, and financial regulations such as Basel III and FRTB is preferred.
Experience independently delivering complex data, analytical, or regulatory projects with senior stakeholder exposure is preferred.
Hands-on experience building data products and pipelines and applying AI, large language models, or advanced analytics to risk analytics, automation, or controls is preferred.

Bring your Expertise to JPMorganChase. As part of Risk Management and Compliance, you are at the center of keeping JPMorganChase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.

As a Market Risk Data and Analytics Lead on the Implementation & Analytics team, you will design, build, and analyze data products and platforms powering the firm’s market risk capital requirements for FRTB and related regulations. You partner with Quantitative Research, Technology, Model Risk, Regulatory Capital, and business stakeholders to deliver robust data solutions, analytics, and regulatory submissions. You help drive the adoption of AI, automation, and modern data strategies to enhance risk analytics, capital estimation, and decision-making. You represent the firm in industry forums and regulatory meetings, ensuring compliance and advocating for best practices.

Job responsibilities:

Lead core data initiatives and analytics to support FRTB implementation across Internal Models Approach (IMA) and Standardized Approach (SA)
Enable data-driven market risk capital scenario analyses for evolving regulatory rules, ensuring data quality, transparency, and auditability
Partner with product and project managers to monitor deliverables and communicate progress, risks, and blockers to senior management
Design, develop, and own advanced market risk data pipelines and capital estimation modules for regulatory submissions and management reporting
Own and enhance capital calculation and attribution processes, including documentation, controls, and governance
Interpret regulatory and business requirements in partnership with market risk stakeholders to scope and deliver data and analytics solutions
Develop and maintain strong market risk knowledge across asset classes and financial products
Support production, analysis, and explanation of capital results for regulatory and internal reporting
Represent the firm in industry working groups and regulatory meetings to advocate for best practices and stay current on regulations
Advance the adoption of AI, LLM, and data product solutions to enhance analytics, automation, and decision-making
Gather, review, and translate end-user and data requirements into clear specifications for development teams

Required qualifications, capabilities, and skills:

Advanced degree (Master’s, B.Tech, or equivalent) in Computer Science, Data Science, Engineering, Mathematics, or a related field
Minimum 3 years of experience in data analytics, data engineering, market risk capital, or market risk coverage
Solid understanding of market risk concepts and data domains across asset classes and financial products
Strong quantitative, analytical, and problem-solving skills with hands-on proficiency in data analysis tools
Experience delivering complex technical and analytical projects from inception to completion
Excellent leadership, analytical, and influencing skills to support business decisions
Process and control mindset; self-motivated, detail-oriented, and innovative, with initiative to drive issues to resolution
Outstanding verbal and written communication skills, able to convey complex concepts to diverse audiences
Strong stakeholder management and relationship-building skills, able to deliver results under pressure
Experience gathering, reviewing, and translating end-user and data requirements into clear specifications

Preferred qualifications, capabilities, and skills:

Knowledge of modern data architecture, data modeling, and data governance frameworks
Familiarity with quantitative finance, trading strategies, and financial regulations such as Basel III / FRTB
Experience independently delivering complex data, analytical, or regulatory projects with senior stakeholder exposure
Hands-on experience building data products and pipelines and applying AI, LLM, or advanced analytics to risk analytics, automation, or controls

Base Pay/Salary: New York,NY $144,970.00-$210,000.00

About the Company

JP Morgan Chase

Runs a consumer bank and an investment bank

JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1799

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