The Finance Decision Optimization team is a group of product, analytics, and engineering experts who support the development of machine learning models and other tools used to drive strategic decisions across the Consumer and Community Banking Finance organization.
As a Data Science Senior Associate at JPMorganChase within the Finance Decision Optimization team, you will support the end-to-end model development lifecycle—from exploratory analysis to model testing to ongoing performance monitoring and verification of production processes. You will translate business needs into technical requirements and prototype solutions, partner closely with modeling and technology teams, and deliver analytics that drive measurable business outcomes in a fast-paced environment.
** Job responsibilities**
- Drive business outcomes and decision making through data and analytics, using data warehouse data to inform modeling approaches, understand customer behavior, and perform sensitivity analysis
- Develop comprehensive knowledge of supported business units to deliver pragmatic, effective solutions
- Translate business demands into technical requirement documents and collaborate with technology teams to deliver capabilities end-to-end
- Work closely with end-users and data product owners during user acceptance testing and perform testing to ensure functionality meets end-user requirements
- Partner with the business modeling team to develop and refine statistical models, continuously evaluating performance and effectiveness
- Validate that production results comply with business requirements and expected results, and support ongoing monitoring and verification of production processes
- Translate business requirements into prototype solutions for new requests and enhancements
- Independently design, develop, and optimize complex SQL queries and Python scripts to support data validation, exploration, and integration with existing systems and codebases
- Take a leadership role by contributing strategic direction and thought leadership as a critical member of the Finance Decision Optimization team
- Manage multiple tasks and priorities in a fast-paced environment while maintaining responsiveness to ad-hoc requests
Required qualifications, capabilities and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- 3+ years of experience at a financial institution or consulting firm in corporate finance, banking, treasury, data analytics, or quantitative modeling
- Strong problem-solving skills with excellent analytical, critical thinking, communication, organizational, and technical skills, with proven ability to collect, organize, and analyze significant amounts of information while maintaining attention to detail and accuracy
- Proficiency in business analytics tools and programming languages to perform data analytics and drive business outcomes, including SQL and Python
- Ability to communicate effectively with technical peers including data engineering and quantitative modeling teams, and translate data into concise and actionable recommendations
Preferred qualifications, capabilities and skills
- Experience supporting large-scale data projects
- Proficiency with additional analytics tools such as SAS, R, or similar
- Experience with Databricks, Streamlit, and Amazon Web Services cloud environments