Quant Analytics Lead-Vice President

Job Description

Join the Alternative Lending Analytics Team and play a pivotal role in shaping the future of the Connected Commerce lending business. As Quant Analytics Lead within the Alternative Analytics team, you will partner with cross‑functional teams to analyze data from large SQL and AWS databases, translating insights into actionable recommendations for stakeholders. You’ll need strong analytical rigor and a deep sense of curiosity.

You will play a key role in launching new lending products and driving their growth, collaborating with both analytic and non‑analytic groups to shape strategy and influence business decisions. This position is ideal for an innovative leader who thrives in a dynamic environment and is passionate about using data to deliver measurable business outcomes. You will lead the delivery of analytics and insights to inform strategies and influence critical business decisions.

• Establish and foster partnerships across the organization to understand business requirements.
• Lead the creation and execution of solutions to pull and combine data from multiple sources for lending product reporting.
• Develop analytics frameworks for new lending products.
• Collaborate with data partners to ensure data quality and integrity for new lending products.
• Lead report automation initiatives.
• Analyze customer, transaction, and product usage data to identify actionable insights.
• Communicate insights to senior leaders to influence strategy and business decisions.
• Translate complex analyses into concise executive narratives and visuals to support strategic decision‑making.
• Manage multiple priorities and deliver results quickly with rigor.

• BS in an applicable STEM field and 6+ years of financial industry experience in business analytics roles (e.g., marketing analytics, risk analytics, product analytics, business insights).
• 6+ years of hands‑on experience working with a broad range of analytics technologies and tools (SAS, SQL, Spark, Python, Unix, Excel Pivot, etc.) in a big data environment.
• Financial services experience, especially in credit card or mortgage analytics.
• Exceptional communication skills, with the ability to convey complex information in an understandable, compelling, and persuasive manner to both technical and non‑technical stakeholders.
• Ability to identify key drivers, prioritize tasks, be results‑oriented, and demonstrate strong attention to detail.
• Proficient in applying quantitative methods for business analytics.
• Adept critical thinker and problem solver.

• Master’s degree in a relevant quantitative field (e.g., Statistics, Economics, Marketing Analytics, Mathematics, Engineering, Computer Science, or related fields).

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.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. 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 provide a range of benefits and programs to meet employee needs, based on eligibility.

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