VP, Data Scientist - Credit Risk

Salary: $61,000 - 101,000 per year Requirements:

• We require an advanced degree in statistics, econometrics, or a related quantitative discipline, along with at least 5 years of risk management or quantitative experience; alternatively, a bachelors degree with at least 7 years of relevant experience.
• We need deep expertise in the consumer financial services industry.
• We are looking for a strong strategic and commercial mindset, with the ability to frame ambiguous problems, define success metrics, and prioritize high-return work.
• We require advanced proficiency in Python and SQL.
• We need proven analytical and problem-solving capability across the design and execution of analytics-focused projects.
• We look for the ability to synthesize varied information and turn it into practical recommendations.
• We need someone who can manage competing priorities and deliver complex work to tight deadlines.
• We require the ability to communicate complex findings clearly in writing and verbally to both technical and non-technical audiences.

• We use data analysis, modeling, data engineering, and project management skills to launch, develop, and complete advanced analytics initiatives.
• We perform credit-focused analysis to identify, measure, and monitor risks in consumers and small businesses using large, diverse internal data sources.
• We translate complex data into clear and actionable insights that support strategic decision-making.
• We carry out independent research on emerging risks affecting consumers and small businesses, addressing new challenges and opportunities proactively.
• We prepare executive-ready narratives and communicate insights, recommendations, and tradeoffs to senior leaders.
• We drive delivery in a fast-moving environment by prioritizing multiple initiatives, aligning stakeholders, and meeting roadmap milestones and business objectives.
• We embrace GenAI-enabled innovation across the data science lifecycle and identify opportunities to improve existing processes and risk monitoring.
• We stay current on industry trends, macroeconomic developments, technology advances, and best practices in risk analytics.

• Support
• Python
• SQL
• Machine Learning

More:

We are collaborating with J.P. Morgan to hire for a Vice President role on the Chase-360 Payment Analytics team. In this position, we use cross-line-of-business customer data to understand consumer and small business health, shape credit strategy across consumer and business banking lending products, and develop attributes that support credit models and strategy. We offer a competitive total rewards package, with base pay based on role, experience, skill set, and location, and eligible roles may also receive commission-based pay and discretionary incentive compensation. Our benefits can include comprehensive health coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching, and more. We are committed to diversity and inclusion, equal opportunity, and reasonable accommodations. Our Consumer & Community Banking division serves Chase customers through a broad range of financial services, and our CCB Data & Analytics team leverages data responsibly to create competitive advantages, support technology-enabled analytics infrastructure, and improve customer and business outcomes.

last updated 37 week of 2026