Decision Science Vice President – Finance Analytics

JPMorgan Chase & Co. • Columbus, OH

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About The Position

As a Decision Science Vice President on JPMorganChase’s Finance Decision Optimization team, you will support the end-to-end model development lifecycle, from exploratory analysis and model testing to ongoing performance monitoring and verification of production processes. You will translate business needs into technical requirements, prototype solutions, partner with modeling and technology teams, and deliver analytics that drive measurable business outcomes. The role involves developing an understanding of how finance teams use data and models to make decisions and helping ensure solutions perform as intended in production.

Requirements

• Formal training or certification in software engineering concepts and at least 3 years of applied experience.
• At least 3 years of experience at a financial institution or consulting firm in corporate finance, banking, treasury, data analytics, or quantitative modeling.
• Strong analytical skills, including the ability to collect, organize, and analyze significant amounts of information accurately and with attention to detail.
• Experience with statistical and experimental techniques, such as controlled testing (A/B testing).
• Proficiency in SQL and Python for analytics and programming.
• Strong problem-solving, critical-thinking, communication, and organizational skills, including the ability to articulate options and results to senior stakeholders.
• Ability to collaborate with technical partners, including data engineering and quantitative modeling teams, and translate data into concise, actionable recommendations.

Nice To Haves

• Experience supporting large-scale data projects.
• Proficiency with additional analytics tools such as SAS or R.
• 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.

Responsibilities

• Use enterprise data to inform modeling approaches, understand behavioral patterns, and perform sensitivity analysis to support business outcomes and decision-making.
• Build knowledge of supported business areas and 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 to confirm delivered functionality meets requirements.
• Partner with quantitative modeling teams to develop and refine statistical models, and continuously evaluate model performance and effectiveness.
• Validate that production results comply with business requirements and expected outcomes, and support ongoing monitoring and verification of production processes.
• Design and optimize complex SQL queries and Python scripts for data validation and exploration, and prototype solutions for new requests and enhancements.

Benefits

• Competitive total rewards package, including base salary based on role, experience, skill set, and location.
• Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed