Job Description Join our dynamic team to drive impactful insights and shape the future of deposit growth through advanced data analysis and innovative modeling. Be a key contributor in transforming business strategy by leveraging your analytical expertise to deliver actionable recommendations and present findings to senior leadership.
As a Quant Analytics Senior Associate on the Deposit Modeling and Analytics team, you will analyze deposit data to uncover key trends and drive model development that informs business strategy. You will own the end-to-end creation of qualitative models and collaborate with quantitative modelers to forecast deposit balances and related revenues. You will present your findings to senior leadership, providing clear and actionable insights. You will apply your business intuition and technical skills to test models, analyze backtesting results, and identify opportunities for improvement. Your expertise will help shape the future of deposit growth and product strategy.
Job Responsibilities: - Assist quantitative modelers with data procurement and refinement (SQL, Databricks)
- Troubleshoot forecast model implementation code (python) issues
- Analyze deposit data to identify trends in consumer/business behavior to aide in model development and to describe deposit growth trends
- Assist quantitative modelers in the development of statistical models which forecast deposit balances and related net interest income as well as non-interest-revenue models which forecast debit card revenue, overdraft revenue, etc.
- Perform deep-dive analysis on deposit data to determine key trends that are impacting deposit growth
- Apply macroeconomic and business intuition to inform independent variable selection
- Test draft models against various economic scenarios and analyze model output
- Analyze backtesting results of models to identify areas of model miss and suggest independent variables that may remediate that miss
- Analyze recent data trends and changes to the business/products that may elicit new trends
Required Qualifications, skills, and capabilities: - Bachelor's degree in a quantitative discipline such as Economics, Finance, Statistics, Mathematics, or a related field.
- 4+ years of related work experience data analysis, statistical modeling, or a related area
- Proficiency in Python for data analysis, statistical modeling, and model reviews
- Hands-on experience in developing, implementing, and reviewing statistical or forecasting models, including model validation and performance assessment
- Strong ability to communicate complex analytical findings clearly and effectively to senior leadership and non-technical stakeholders
Preferred Qualifications, skills, and capabilities: - SQL and Databricks experience for large-scale data processing and advanced analytics
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.
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