Vice President, Risk Analytics

JPMorganChase; Columbus (OH); On-site; USD 180,000 - 260,000; Full time

Job summary

Chase is seeking a Vice President, Risk Analytics in the Consumer Risk Insights team to lead a team of data scientists and analytics professionals. You will build and scale customer data assets and models to improve credit and fraud risk outcomes, partnering with risk, product, technology, and operations to translate opportunities into measurable analytical solutions.

You will raise standards for quality and explainability so decision-makers can act with confidence.

Qualifications

• Master's degree in a quantitative field (e.g., CS, statistics, mathematics, physics).
• Proven experience leading data science teams and coaching/performing PM.
• Deliver production-grade data-driven solutions to complex business problems.
• Strong expertise in consumer financial services and risk decisioning (credit/fraud).
• Deep knowledge of statistical modeling and data mining across data types.
• Programming in Python and SQL; experience with large-scale data.

Responsibilities

• Lead a high-performing data science team with clear direction and standards.
• Set multi-year roadmaps for evergreen data assets and scalable analytics.
• Expand coverage and quality of customer data assets to support risk decisions.
• Advance data mining and modeling across structured/unstructured data.
• Improve transaction categorization for downstream risk use cases.
• Partner with stakeholders to prioritize opportunities and define success metrics.
• Deliver executive-ready narratives with insights, tradeoffs, and impact.

Skills

Team leadership

Data science

Credit risk

Fraud risk

Data mining

Python

SQL

Stakeholder management

Storytelling

Communications

Education

Master's degree in a quantitative field

Doctoral degree (preferred)

Tools

Python

SQL

Job description

Job Description

Join a team where advanced analytics, strong data foundations, and practical decisioning come together to improve outcomes for customers and the firm. You will lead high-impact data science initiatives that strengthen credit and fraud risk performance through better data, better models, and better insights. This role offers the opportunity to set a multi-year vision, build new capabilities, and scale analytics products that directly influence senior decision-making. You will partner closely with leaders and stakeholders to turn ambiguous questions into measurable business outcomes.

Job Description

Join a team where advanced analytics, strong data foundations, and practical decisioning come together to improve outcomes for customers and the firm. You will lead high-impact data science initiatives that strengthen credit and fraud risk performance through better data, better models, and better insights. This role offers the opportunity to set a multi-year vision, build new capabilities, and scale analytics products that directly influence senior decision-making. You will partner closely with leaders and stakeholders to turn ambiguous questions into measurable business outcomes.

Job Summary

As a Vice President, Risk Analytics in the Consumer Risk Insights team, you will lead a team of data scientists and analytics professionals to build and scale customer data assets and models that improve credit and fraud risk outcomes. You will work with partners across risk, product, technology, and operations to identify the most important problems, define success metrics, and translate opportunities into measurable analytical solutions. You will raise standards for quality and explainability so decision-makers can act with confidence. You will communicate clearly with both technical teams and senior leaders, using crisp storytelling to explain tradeoffs, recommendations, and expected impact. You will also identify where generative artificial intelligence can be used responsibly to accelerate the analytics lifecycle and improve productivity.

Job Responsibilities

• Lead and develop a high-performing data science team through clear direction, coaching, and a culture of high standards and continuous learning
• Set and execute a multi-year roadmap for evergreen data assets, decisioning capabilities, and scalable analytics products that improve credit and fraud risk performance
• Expand the coverage, quality, and usefulness of key customer data assets (for example, income-related data) to support risk decisions and insights
• Advance data mining and modeling across structured and unstructured data to identify actionable insights and early indicators of consumer and small business stress
• Reimagine end-to-end transaction categorization to improve quality, explainability, scalability, and speed to availability for downstream risk use cases
• Partner with cross-functional stakeholders and risk leadership to prioritize opportunities, define success metrics, and translate business questions into analytical solutions
• Deliver executive-ready narratives that clearly communicate insights, recommendations, tradeoffs, and expected business impact

Required Qualifications, Capabilities, And Skills

• Master's degree in a quantitative field (for example, computer science, statistics, mathematics, physics, or related discipline)
• Proven experience leading and developing data science teams, including coaching, performance management, and team culture
• Demonstrated ability to deliver production-grade, data-driven solutions to complex business problems
• Strong expertise in consumer financial services and applying analytics to risk decisioning, including credit and fraud
• Deep knowledge of statistical modeling and data mining methods across structured and unstructured data
• Strong programming capability in Python and SQL (and/or comparable analytics languages) and experience working with large-scale data
• Ability to frame ambiguous problems, define clear success metrics, and prioritize high-impact work
• Strong stakeholder management skills and ability to influence senior leaders through sound judgment and crisp storytelling
• Excellent written and verbal communication skills for technical and non-technical audiences

Preferred Qualifications, Capabilities, And Skills

• Doctoral degree in a quantitative field
• Experience building and scaling analytics “data products” used by multiple teams or functions
• Hands-on experience applying generative artificial intelligence techniques to analytics workflows (for example, enrichment, classification, or unstructured text processing)
• Experience improving transaction data quality, categorization, and explainability for downstream analytics or decisioning
• Experience partnering with model risk management, governance, and control functions to support responsible deployment
• Track record of delivering executive-level narratives and decision materials tied to measurable outcomes

About Us

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, 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.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

About The Team

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.