Senior Associate Quant Analytics - Lending

JPMorganChase • Columbus, OH

23h

About The Position

Join our Business Banking Lending Product Analytics team to help shape the future of banking for small businesses. This role offers the opportunity to grow your career, develop skills, and make a meaningful impact on customers. As a Business Banking Quant Analytics Senior Associate within the Lending Product Analytics team, you will provide actionable insights to product managers, driving business lending product strategy and improving the end-to-end lending process. You will leverage analytics and cross-functional collaboration to deliver strong analytic solutions, contributing to streamlined workflows, enhanced operational efficiency, and optimized customer lending experience, while maintaining strong risk management and compliance standards. You will support product managers as a consultant, building frameworks for data-driven solutions, running analyses, and reviewing results with partners. Your work will help establish controls, define and track KPIs, and drive operational efficiency.

Requirements

• Bachelor’s degree in a relevant quantitative discipline focused on data engineering, data warehousing, computer science, or analytics
• Minimum three years of experience in quantitative analytics
• Advanced SQL skills, including data transformation, validation, de-duplication, aggregation, and data structure transformation
• Strong Tableau skills, including building dashboards and visualizations to monitor process KPIs and present insights to stakeholders
• Experience with Snowflake
• Clear communication and presentation skills, able to articulate complex issues concisely
• Strong organizational skills, attention to detail, and a structured approach to coding and documentation

Nice To Haves

• Familiarity with banking products such as Business Banking loans and lines
• Familiarity with AWS, and Oracle
• Good to know Python and Alteryx

Responsibilities

• Build strong relationships with product managers and functional partners
• Develop and execute analyses and reports from end to end
• Summarize data results in a non-technical manner for business partners
• Think from a business standpoint and relate it to data
• Support Lending products and operation process improvement
• Partner with the business and broader Data & Analytics (D&A) organization to understand business requirements and objectives

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees