Senior Associate, Decision Science – Finance Analytics

Join a collaborative team of product, analytics, and engineering experts building models and tools that improve strategic finance decisions. You will work on high-impact problems, partner closely with stakeholders, and help turn data into measurable outcomes. This is an opportunity to grow your analytics and machine learning skills while delivering capabilities used across the business.
As a Quantitative Analytics 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. You will develop a strong understanding of how finance teams use data and models to make decisions, and you will help ensure solutions perform as intended in production.
Job responsibilities
Drive business outcomes and decision-making through data and analytics by using enterprise data to inform modeling approaches, understand behavioral patterns, and perform sensitivity analysis
Develop deep knowledge of supported business areas to deliver pragmatic, effective solutions
Translate business needs into technical requirements and collaborate with technology teams to deliver capabilities end-to-end
Partner with end users and data product owners during user acceptance testing and perform testing to ensure delivered functionality meets requirements
Partner with quantitative modeling teams to develop and refine statistical models, continuously evaluating performance and effectiveness
Validate that production results comply with business requirements and expected outcomes, and support ongoing monitoring and verification of production processes
Translate business requirements into prototype solutions for new requests and enhancements
Design, develop, and optimize complex SQL queries and Python scripts to support data validation, exploration, and integration with existing systems and codebases
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 analytical skills with demonstrated ability to collect, organize, and analyze significant amounts of information with attention to detail and accuracy
Experience with statistical and experimental techniques such as controlled testing (A/B testing)
Proficiency in analytics and programming tools to drive business outcomes, including SQL and Python
Strong problem-solving, critical thinking, communication, and organizational skills, with the ability to articulate options and results to senior stakeholders
Ability to collaborate effectively with technical partners (including data engineering and quantitative modeling) and translate data into concise, 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
Experience driving adoption of artificial intelligence and machine learning solutions, including stakeholder enablement and change management
We do not offer any type of employment-based immigration sponsorship for this position. Likewise, JPMorganChase , will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit including optional practical training (OPT) or curricular practical training (CPT).