Bring your expertise to a role where advanced analytics directly supports valuation and risk management decisions. You’ll own projects end-to-end, from requirements through implementation and measurable outcomes. You’ll help strengthen data governance and reliability while improving how analysis is delivered and consumed. If you enjoy translating complex data into clear, decision-ready outputs, this role is for you.
Job summary :
As a Data Scientist in the Mortgage Servicing Rights team, you use data science and analytics to support portfolio valuation and risk management. You partner with quantitative modelers, business stakeholders, and technology teams to design and deliver tools and analyses that improve decision-making. You manage delivery end-to-end, ensuring outputs are timely, well-tested, and documented. You apply strong data management discipline and follow applicable governance and security standards to ensure trusted results.
Job responsibilities:
- Assemble, organize, and analyze data using proprietary, industry-standard, and open-source sources and tools
- Develop, test, and maintain Python utilities that support valuation and risk analytics workflows
- Support valuation model and risk processes by managing data access, data inputs, and local implementation needs
- Gather requirements and implement analytical tooling into a proprietary analytics platform used by the team
- Translate business needs into datasets and data models that support valuation, back-testing, and analysis
- Apply modern product delivery practices to improve solution usability, reliability, and reuse
- Manage projects end-to-end, including scope, milestones, dependencies, and execution quality
- Deliver data-driven insights and analytical support to quantitative modelers and business stakeholders
- Ensure adherence to data governance, security standards, and documentation expectations
- Document processes, definitions, and assumptions to enable repeatable analysis and audit-ready outputs
- Identify and implement opportunities to improve data tools, automation, and analytics capabilities
Required qualifications, capabilities, and skills:
- Bachelor’s degree in financial engineering, statistics, mathematics, computer science, or a related field
- Two years of experience in data-focused development or analytics roles
- Advanced Python proficiency for data analysis and production-quality code
- Proficiency with SQL for data extraction, transformation, and analysis
- Experience with machine learning and statistical modeling methods, including classification, regression, and time-series forecasting
- Knowledge of fixed income analytics and financial modeling concepts relevant to valuation and risk work
- Experience applying generative artificial intelligence methods to business problems, including selecting an appropriate approach
- Ability to translate complex concepts into clear, decision-ready communication for varied audiences
- Strong software and systems analysis skills, including requirements translation and solution design
- Ability to manage multiple deliverables with strong attention to detail and execution discipline
- Ability to work independently and collaboratively in a fast-paced environment
Preferred qualifications, capabilities, and skills:
- Master’s degree in financial engineering, statistics, mathematics, computer science, or a related field
- Experience with performance analysis and code optimization
- Familiarity with mortgage loan data and common mortgage analytics concepts (for example, prepayment and cash flow modeling)
- Experience integrating analytics tools into proprietary platforms used for valuation or risk workflows
- Experience in financial services, particularly mortgage analytics or risk management
- Demonstrated ability to deliver results under tight timelines while maintaining quality
- Strong presentation skills for communicating insights and recommendations to stakeholders
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
- Bachelor's degree in financial engineering, statistics, mathematics, computer science, or related field
- Two years of experience in data-focused development or analytics roles
- Advanced Python proficiency for data analysis and production-quality code
- Proficiency with SQL for data extraction, transformation, and analysis
- Experience with machine learning and statistical modeling methods, including classification, regression, and time-series forecasting
- Knowledge of fixed income analytics and financial modeling concepts relevant to valuation and risk work
- Experience applying generative artificial intelligence methods to business problems
- Strong software and systems analysis skills, including requirements translation and solution design
- Ability to translate complex concepts into clear, decision-ready communication for varied audiences
- Ability to manage multiple deliverables with strong attention to detail and execution discipline
- Ability to work independently and collaboratively in a fast-paced environment
- Master's degree in related field
- Experience with performance analysis and code optimization
- Familiarity with mortgage loan data and mortgage analytics concepts (prepayment, cash flow modeling)
- Experience integrating analytics tools into proprietary valuation or risk platforms
- Experience in financial services, particularly mortgage analytics or risk management
- Strong presentation skills for communicating insights and recommendations
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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