Data Scientist Associate Senior - Risk & strategy, Portfolio analytics

Job Description
Join our Card Data and Analytics Team to shape credit card strategies and advance your analytics career.
As a Data Scientist Associate Senior in the Card Data and Analytics Team, you will manage analytics projects for the Slate portfolio, delivering insights and solutions that influence risk, marketing, and finance decisions. You will collaborate with cross-functional teams and present actionable recommendations to senior leadership.
Job responsibilities

• Leads and delivers complex data science projects across risk, marketing, and finance for the Slate product
• Develops, validates, and implements risk models to support credit decisioning and portfolio management
• Analyzes portfolio performance, customer segmentation, and campaign effectiveness to inform strategies
• Manages the end-to-end lifecycle of analytical projects, from proposal to presentation of findings
• Designs and evaluates experiments to measure the impact of risk and marketing initiatives
• Partners with business, risk, and finance teams to identify impactful projects and influence decisions
• Contributes to a positive, inclusive, and high-performing team environment

Required qualifications, capabilities, and skills

• Bachelor's or Master's degree in a quantitative field such as Statistics, Economics, Finance, Business Analytics, Mathematics, Engineering, or Computer Science
• Six years industry experience in portfolio analytics, data science, or business analytics roles within financial services
• Experience building and validating risk models or working in risk strategy for cards portfolios
• Hands-on experience with analytics platforms, languages, and tools such as SAS, SQL, and Python, including big data platforms
• Strong quantitative and problem-solving skills with proficiency in business analytics methods
• Excellent communication skills to convey complex information to business partners and senior leadership
• Results-oriented with strong attention to detail and ability to manage multiple priorities in a fast-paced environment

Preferred qualifications, capabilities, and skills

• Experience with advanced modeling techniques such as machine learning and predictive analytics for risk and marketing
• Familiarity with portfolio management, P&L drivers, and regulatory requirements in the cards business
• Experience with data visualization tools such as Tableau
• Experience with ETL platforms such as Alteryx

About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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.
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.