Job Description

Salary: $61,000 - 101,000 per year Requirements:

• We require a masters degree in a quantitative discipline, or a bachelors degree plus 6+ years of experience in Data Science, Statistics, Mathematics, Engineering, Economics, Finance, or a related field.
• We require 6+ years of experience using SQL, Python, R, or similar tools to analyze large-scale data in modern data environments.
• We require expertise in statistical analysis, experimental design, A/B testing, machine learning, and measurement frameworks.
• We require demonstrated ability to lead an end-to-end analytics agenda, including roadmap definition, prioritization, stakeholder management, and business impact.
• We require strong executive communication, visualization, and presentation-development skills, including the ability to turn analysis into clear recommendations and decision-ready storytelling.
• We require the ability to manage multiple high-impact projects in a fast-paced, cross-functional environment while maintaining strong analytical rigor and data integrity.
• Preferred experience includes financial services, consumer banking, customer strategy, or related industries.
• We value a proven track record of leading a book of work that generates actionable insights and influences business strategy.
• We prefer a collaborative leadership style with the ability to mentor talent and raise the standard of team output.
• Knowledge of simulation, optimization, or advanced machine learning techniques is a plus.

• We own the analytics roadmap for the Core Consumer Banking customer pillar, including prioritization, sequencing, delivery, and business impact.
• We serve as the primary analytics partner to business, product, marketing, finance, technology, and distribution leaders.
• We translate ambiguous executive questions into structured analytical plans, clear recommendations, and decision-ready narratives.
• We lead analyses and experiments across growth, engagement, retention, migration, pricing, servicing, and segment strategy.
• We define measurement strategies, including test design, success metrics, monitoring frameworks, readout standards, and business implications.
• We develop executive-ready presentations and narratives that turn analysis into clear recommendations for senior leaders and influence business strategy and resource allocation.
• We mentor team members and set analytical standards for methodology, governance, data quality, and storytelling.

• Support
• Machine Learning
• Marketing
• Python
• SQL

More:

We are collaborating with J.P. Morgan to connect them with exceptional professionals for this role. Join the Affluent, Core, and Emerging (ACE) Analytics team as a Data Scientist Lead and own the analytics agenda for a strategic Consumer Banking customer pillar. We offer a competitive total rewards package, with base salary determined by role, experience, skill set, and location, and eligible roles may also receive commission-based pay and/or discretionary incentive compensation. Our benefits and programs, subject to eligibility, 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. We are committed to diversity and inclusion, and we provide reasonable accommodations for religious practices and beliefs as well as mental health or physical disability needs. Our Consumer & Community Banking division serves customers through personal banking, credit cards, mortgages, auto financing, investment advice, small business loans, and payment processing, while the CCB Data & Analytics team responsibly leverages data across Chase to create competitive advantage, power insights, and deliver the best customer and business outcomes.

last updated 41 week of 2026

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