Job DescriptionDescriptionWe're driven by curiosity, passion, optimism, and the belief that everybody can grow.
The Data Science Associate, Card Lending & Strategic Analytics, is a unique opportunity for a well-rounded data analytics professional to leverage data science methods and analytics to deliver actionable customer insights and data-driven solutions across the Card business.
As a Data Science Associate within the Card Lending & Strategic Analytics team, you will leverage your skills in building analytics, analysis, data querying, and extracting customer insights from big data to support our Credit Card business. This role is a hands-on mix of consulting know-how, analytical proficiency in statistics, data science, proficiency in SQL/Python programming, visualization methods, and technologies. You will have the opportunity to leverage your knowledge and analytical skills to uncover novel use cases of Big Data analytics that can be deployed at scale across the Credit Card business.
Job Responsibilities:- Work with partners across Card Strategy and Lending to provide data insights and support portfolio strategies.
- Help partners in the Card business define their problems, understand root causes, and scope analytical solutions - uncovering novel, scalable use cases of Big Data analytics across the Credit Card business.
- Build an in-depth understanding of the Card domain and available data assets.
- Research, design, implement, and evaluate analytical approaches and models, including ad-hoc exploratory analyses and data mining across small-scale to "big data" datasets.
- Take initiative in evaluating and adapting new approaches from data science research.
- Investigate data visualization and summarization techniques, and communicate findings and obstacles to stakeholders to drive delivery to market.
- Code your solutions (this is a hands-on position requiring exceptional programming skills).
- Leverage AI agents and LLM-based tools to streamline analyses and automate the generation of insights, documentation, and reporting narratives.
- Collaborate across teams to deliver the best solution for the client, working with a wide range of internal resources.
Required qualifications, capabilities, and skills:- Bachelor's degree in relevant quantitative field required.
- 2+ years of hands-on experience with data analytics; experience evaluating complex business problems, data analysis and devising recommendations and analytics to solve those business problems.
- Exceptional analytical, quantitative, problem solving, and communication skills.
- Excellent leadership, consultative partnering and collaboration across teams.
- Knowledge of statistical software and modern analytics tools (e.g., Python, R, SAS, SQL, Hive, Hadoop, Spark, Tableau, Alteryx).
- Ability to convey complex information in an understandable, compelling, and persuasive manner to both technical and non-technical audiences.
Preferred qualifications, capabilities, and skills:- Advanced degree preferred in analytical field (e.g. Statistics, Economics, Applied Math, Operations Research, other Data Science fields)
- Understanding of the key drivers within the credit card P&L is preferred.
- Financial services background preferred, but not required.
About UsChase 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 TeamOur 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.
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