Collections Analytics Team - Quant Analytics Manager

Aumni; Wilmington (DE); Vor Ort; USD 140.000 - 200.000; Vollzeit

Zusammenfassung

Chase seeks a Quant Analytics Manager within the Collections Analytics team to design and deliver data-driven analytical solutions impacting product strategies and financial decisions.

You will lead quantitative analysis, KPI development, and financial business cases, partnering with Technology and Product teams to drive data capture and platform improvements across card, overdraft, and auto collections domains.

Qualifikationen

• Bachelor's degree or higher in a quantitative field.
• 7+ years of analytical, finance, or engineering experience.
• Proven ability to design and interpret A/B test analytics.
• 7+ years hands-on experience with analytics tools in big data environments (SQL, Python, SAS, Alteryx, Snowflake, AWS, Tableau, Unix, Excel).
• Experience leveraging Large Language Models (LLMs) and/or Agentic AI for analytics applications.
• Strong stakeholder management and data-driven storytelling skills.
• Comfortable operating in a dynamic, matrixed environment with multiple priorities.

Aufgaben

• Develop a deep understanding of card, overdraft, and auto collections data and features.
• Perform rigorous quantitative analysis using SAS, SQL, Alteryx, and/or Python to evaluate strategies.
• Define KPIs for new initiatives and identify opportunities to improve strategies and functionality.
• Build financial business cases to support product investments.
• Partner with Technology and Product teams to define data capture, storage, and migration needs.
• Champion analytical automation to streamline and scale processes.
• Act as a strategic advisor to cross-functional partners through data-driven storytelling.

Kenntnisse

SQL

Python

SAS

LLMs in analytics

Stakeholder management

A/B testing analytics

Big data analytics

Tableau

Excel

Unix

Ausbildung

Bachelor's degree or higher in quantitative discipline

Tools

Alteryx

Snowflake

AWS

Unix

Excel

Tableau

SAS

Jobbeschreibung

Join a team that designs and delivers analytical solutions that has measurable business impact through data?

As a Quant Analytics Manager, within the Collections Analytics team, you will design and deliver analytical solutions that has measurable business impact, spanning product benefit assessments, financial business cases, performance measurement, and strategy and channel optimization through data-driven insights and recommendations.

Job Responsibilities:

• Develop a deep understanding of the card, overdraft, and auto collections business - including product features, strategy, collections-specific performance metrics and terminology, and the nuances of collections data
• Conduct rigorous quantitative analysis using SAS, SQL, Alteryx, and/or Python to evaluate the performance of new and existing collections strategies and product features
• Identify opportunities to enhance existing strategies and product functionality; define and develop key performance indicators (KPIs) for new initiatives
• Build compelling financial business cases to support product initiatives and investment decisions
• Partner with Technology and Product teams to define data capture, storage requirements, and recommendations in support of future initiatives and platform migrations
• Champion analytical automation - identify and execute opportunities to streamline and scale analytical processes
• Serve as a strategic advisor to cross-functional partners, influencing stakeholders through clear, effective, data-driven storytelling

Required Qualifications, Capabilities & Skills:

• Bachelor's degree or higher in a quantitative discipline - Statistics, Mathematics, Data Science/Analytics, Engineering, Applied Economics, Management Information Systems, or equivalent; 7+ years of experience in an analytical, finance, or engineering-related role
• Demonstrated experience designing and interpreting A/B test analytics
• Proven track record in strategic analytics, business case development, and financial benefit sizing
• 7+ years of hands-on experience across a broad range of analytics technologies and tools including, SQL, Python, SAS, Alteryx, Snowflake, AWS, Tableau, Unix, and Excel, in a big data environment
• Experience leveraging Large Language Models (LLMs) and/or Agentic AI for analytical applications
• Self-starter with strong stakeholder management capabilities
• Comfortable operating in a dynamic, matrixed environment, managing multiple priorities under tight timelines

Preferred Qualifications, Capabilities & Skills:

• Foundational knowledge of credit card and retail businesses; collections-specific experience is a plus
• Background in risk, product, or marketing analytics

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

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.

Design and deliver analytical solutions that drive measurable business impact, spanning product benefit assessments, financial business cases, performance measurement, and strategy and channel optimization through data-driven insights and recommendations.