Finance Decision Optimization Deposits - Quant Analytics Senior Associate
About The Position
Join the Finance Decision Optimization team, a group of product, analytics, and engineering experts, who support the development of predictive models used to drive strategic decisions across Consumer and Community Banking Finance. As a Quant Analytics Senior Associate, within the Finance Decision and Deposits Area team, you will use multi-faceted analytics to support the end-to-end development of the deposit pricing model, which is a framework used to help support deposit pricing decision making. 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. 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.
Requirements
- Strong problem solver with excellent analytical, critical thinking, communication, organizational, and technical skills.
- 5+ years of experience at a financial institution or consulting firm in one or a combination of the following areas: corporate finance, banking, treasury, data analytics, or quantitative modeling.
- Able to communicate effectively with a variety of technical peers including data engineering and quantitative modeling teams.
Nice To Haves
- Proficiency in business analytics tools or programming languages (e.g. SQL, SAS, Python, R). Experience with Databricks, Streamlit, and AWS Cloud environments is a plus.
- Preference to those with experience dealing with large scale data projects.
Responsibilities
- Partner with the business modeling team to develop and refine statistical models while continuously evaluating their performance and effectiveness.
- Execute model forecasts and socialize results to business partners and stakeholders to help drive pricing strategy.
- Translate business demands to technical requirement documents and collaborate with technology teams.
- Work closely with end-users and data product owners to build datasets for model training and serving.
- Independently design, develop, and optimize complex SQL queries and Python scripts to support data validation, exploration, and integration with existing systems and codebases.
- Effectively manage multiple tasks and priorities in a fast-paced environment while maintaining responsiveness to ad-hoc requests.
Benefits
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
