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.
Skills Required
- 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 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 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
- Experience validating data sources and performing data quality checks
- Experience extracting, transforming, and analyzing data from multiple sources to produce reproducible datasets
- Experience in mortgage banking or financial services
- Experience in stakeholder-facing analytics, consulting, or strategy in ambiguous problem spaces
- Experience supporting change initiatives or operational/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
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental health coverage are comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
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Retirement Support — A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
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Leave & Time Off Breadth — Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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