Senior Data Scientist

JOB DESCRIPTION

Bring your expertise to a Home Lending Data and Analytics team that partners closely with product, marketing, and sales to solve complex problems. You will work in a fast-paced, matrixed environment where rigorous analysis and practical recommendations promote measurable outcomes. You will help improve customer experience by identifying opportunities, clarifying trade-offs, and informing decisions with data. If you enjoy hands-on analytics with real business impact, this role is for you.

Job summary

As a Senior Associate Data Scientist in Home Lending Data and Analytics supporting the Originations Product team, you translate data into clear insights and recommendations that guide product decisions and business outcomes. You define success metrics, validate data, and deliver measurement that stakeholders can trust. You partner with analytics and predictive modeling teams to enable reliable analysis and model development through strong data identification and quality checks. You communicate findings effectively to technical and non-technical audiences so decisions are timely and well-supported. Job Posting Standards and Components.pdf

Job responsibilities

Identify and quantify obstacles to business goals using analytics and data science techniques

Analyze data to uncover trends, drivers, and patterns and translate findings into clear narratives that inform decisions

Define success metrics and measurement approaches that align to product goals and stakeholder needs

Validate data sources and perform data quality checks to enable reliable analysis and model development

Extract, transform, and analyze data from multiple sources using SQL to produce reproducible datasets

Partner cross-functionally to identify friction points and opportunities and recommend practical improvements

Surface data-driven opportunities to improve efficiency, reduce friction, and enhance customer experience

Gather requirements, clarify business questions, and align stakeholders on analytical approach and deliverables

Deliver timely analyses and summaries tailored to the audience and decision context

Document work, share best practices, and contribute to team standards for rigor, quality, and learning

Maintain strong attention to detail and analytic integrity in a fast-paced environment Job Posting Standards and Components.pdf

Required qualifications, capabilities, and skills

Three years of experience in analytics, data science, business intelligence, or a related quantitative role

Strong SQL skills, including complex querying, joins, aggregations, and data validation

Proficiency in at least one of the following: Python, SAS, or R

Demonstrated ability to translate analysis into actionable insights and recommendations

Strong written and verbal communication skills for technical and non-technical audiences

Strong analytical and critical thinking skills, with the ability to connect detail to business context

Ability to manage multiple priorities, work independently, and deliver high-quality work under time constraints

Strong interpersonal skills and experience collaborating across teams and functions Job Posting Standards and Components.pdf Job Posting Standards and Components.pdf

Preferred qualifications, capabilities, and skills

Experience in mortgage banking or financial services

Experience in stakeholder-facing analytics, consulting, or strategy work in ambiguous problem spaces

Experience supporting change initiatives or operational and process improvements through analytics

Experience designing, supporting, or evaluating tests or experiments using basic statistical concepts

Demonstrated interest in continuous learning and adopting new analytical approaches, tools, or methods

Preferred Background

Experience in Mortgage Banking or Financial Services is preferred but not required.

Exposure to consulting, strategy, or stakeholder-facing analytics work is a plus, particularly where requirements are ambiguous and problems are not well-defined.

Experience supporting change initiatives or operational/process improvements through analytics is beneficial.

Demonstrated interest in continuous learning and adopting new analytical approaches, tools, or methods to improve outcomes.

Experience designing, supporting, or evaluating tests or experiments using basic statistical concepts.

ABOUT US

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

ABOUT THE TEAM

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

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.