Finance Decision Optimization - Quant Analytics Associate

About the role

The Finance Decision Optimization team (FDO) is a group of product, analytics, and engineering experts who support the development of forecasting models used to drive strategic decisions across CCB Finance. As a member of the Deposits Area Product team, you will use multifaceted analytics to support the end-to-end development of a suite of deposit models that support pricing, treasury, and finance functions.

Responsibilities

• Drive business outcomes and decision-making through data and analytics, leveraging a data warehouse to inform modeling approaches, understand customer behavior, and perform sensitivity analyses.
• Develop comprehensive knowledge of supported business units to deliver pragmatic and effective solutions.
• Translate business demands into technical requirements documents and collaborate with technology teams.
• Work closely with end users and data product owners during the UAT phase, and perform testing to ensure new functionality meets end-user requirements.
• Partner with the business modeling team to develop and refine statistical models, while continuously evaluating performance and effectiveness.
• Validate that production results comply with business requirements and expected outcomes.
• Translate business requirements into prototype solutions for new requests and enhancements.
• Effectively manage multiple tasks and priorities in a fast-paced environment while remaining responsive to ad hoc requests.

Requirements

• Strong problem solver with excellent analytical, critical thinking, communication, organizational, and technical skills; proven ability to collect, organize, and analyze significant amounts of information while maintaining attention to detail and accuracy.
• 2+ years of experience at a financial institution or consulting firm in one or more of the following areas: corporate finance, banking, treasury, data analytics, or quantitative modeling.
• Proficiency in business analytics tools (e.g., SQL, SAS, Python, R) and/or programming languages used to perform data analytics and drive business outcomes.
• Ability to communicate effectively with a variety of technical peers (including data engineering and quantitative modeling teams) and to translate data into concise, actionable recommendations.

Skills

• Experience with large-scale data projects is preferred.
• Experience with Databricks, Streamlit, and AWS cloud environments is preferred.

Benefits

• Comprehensive health care coverage, on-site health and wellness centers.
• Retirement savings plan, backup childcare, tuition reimbursement.
• Mental health support, financial coaching, and more.
• Discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.

About the team

Our Consumer & Community Banking division serves Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans, and payment processing. 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.