Data Scientist - Product

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.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our  FAQs for more information about requesting an accommodation.

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.