Card and Overdraft Collections - Product Quant Analytics Manager

Job Description
Job Description
Harness your technical and strategic expertise to shape innovative client solutions and bridge product capabilities with real-world challenges!
As a Product Quant Analytics Manager, within the Card and Overdraft Collections Analytics team, you will be responsible for partnering with various stakeholders to manage Collections product performance, efficiency, and user experience improvement.
Job Responsibilities:

• Understand the card and overdraft collections business, including existing product features and strategy, various collections-specific performance metrics and terminology, and nuances of collections data
• Perform detailed quantitative analysis using SAS/SQL and/or Alteryx to evaluate performance of new and existing collections strategies and product features
• Identify opportunities to enhance existing strategy segmentation and product functionality, and translate analytics insights into actionable business recommendations
• Analyze customer interactions and events across a variety of channels (calls, branch, online, mobile) to better understand customer journeys and friction points
• Develop business cases with financial sizing to support various collections product initiatives
• Present analytics findings and recommendations to senior leadership clearly and concisely, influence stakeholders, and gain cross-functional alignment
• Partner with Technology and Product teams to create data capture and storage requirements for existing and future initiatives

Required qualifications, capabilities and skills:

• Bachelor's degree in a quantitative discipline (Statistics, Mathematics, Data Science/Analytics, Engineering, Applied Economics, Management Information Systems; 6+ years of experience in Data Analytics or Risk/Business Strategy in Financial Services
• Proficiency in SAS/SQL and/or Alteryx
• Proven ability to leverage analytics insights to design risk or business strategies, and design/produce A/B testing analytics
• Highly effective communication and storytelling skills and ability to bridge technical and non-technical audience and stakeholders
• Knowledge of best practices within data visualization and user experience
• Proficiency in Microsoft Office (especially Excel and PowerPoint)

Preferred qualifications, capabilities and skills:

• Masters or above degree in quantitative or technical discipline
• Knowledge and experience in credit card and/or retail bank businesses highly preferred
• Collections strategy and/or analytics experience preferred
• Experience with Python and AI/ML use cases in Financial Services preferred
• Experience delivering analytics solutions following an Agile (Scrum or Kanban) methodology

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.