Quant Analytics Associate - Card Data Analytics

JPMorgan Chase • Wilmington, DE

99d

About The Position

We're driven by curiosity, passion, optimism, and the belief that everybody can grow. As a quant analytics associate in the Card Data & Analytics (D&A) Acquisitions Forecast & Offers Analytics team, you will use your skills in data engineering, analysis, modeling, and project management to initiate, develop, and complete advanced analytics projects. These include, e.g., developing predictive models, creating data assets, and improving processes, etc., to support the development, monitoring, and refinement of acquisitions forecasts and offers. You will improve the way we develop credit card acquisition forecasts and offers to optimize investment outcomes and drive sustainable growth of the credit card business. You are an experienced individual contributor who will work independently alongside a team of analysts and associates, providing tactical support as well as strategic oversight to business partners across Product, Marketing, Finance, and Risk teams and deliver against growth targets. The Acquisitions Forecast & Offers Analytics team is integral to Card D&A, focusing on the development and application of quantitative methods as well as data exploration to inform and drive credit card acquisition strategy. You will work with industry-leading brands as well as emerging partnerships and contribute to the growth of our credit card portfolio.

Requirements

• Bachelor's degree or equivalent in a quantitative discipline, e.g., engineering, mathematics, computer science, physical sciences, etc.
• 2+ years of professional experience combined or equivalent in data/decision science, forecasting, data management/engineering, and business intelligence
• Intermediate and better experience with data ETL, analysis, visualization, and change management using software tools such as Snowflake, SAS, Python, R, Alteryx, Tableau, GitHub, Excel, PowerPoint, etc.
• Communicate clearly and effectively to audiences of varying technical levels
• Manage competing priorities in highly matrixed organization

Nice To Haves

• Experience with causal inference and machine learning techniques, having developed and deployed quantitative models in a professional environment
• Professional experience in consumer banking, lending, or similarly regulated industries

Responsibilities

• Provide both tactical support as well as strategic oversight to Product, Marketing, Finance, and Risk teams to drive credit card acquisitions investment decisions
• Develop and communicate actionable data-driven insights for marketing campaigns
• Leverage existing data assets and develop new ones to improve acquisitions forecast quality to grow the business sustainably
• Support card business goals, developing reports for senior leaders to define and monitor key performance metrics
• Be a champion of the data and analytics community, representing business users and analysts to data architects, platform developers, and data owners, and nurturing a broader culture of data-as-an-asset
• Improve our ways of working to increase efficiency and effectiveness, identifying and closing gaps between people, processes, and systems
• Ensure business continuity, driving the adoption of standards and best practices
• Stay current with industry trends and emerging technologies

What This Job Offers

• Career Level: Mid Level
• Industry: Credit Intermediation and Related Activities
• Education Level: Bachelor's degree