DESCRIPTION:
Duties: Drive and execute a comprehensive analytics strategy for a commercial bank lending portfolio, aligning data science initiatives with business objectives to enable effective portfolio monitoring and support growth initiatives. Drive innovation and develop next generation data science capabilities through Gen AI and advanced analytics tools that deliver on enhanced portfolio surveillance on middle market companies and commercial real estate investors. Serve as a functional manager and subject matter expert on credit analytics processes and data products, ensuring alignment with business objectives. Collaborate with senior stakeholders to assess management needs on portfolio monitoring and insight analysis. Build requirements and shape analytics that drive risk strategy. Oversee end-to-end analytics projects including monthly executive management reporting on credit portfolio health. Translate complex analytical findings into clear, actionable business strategies and recommendations. Mentor and help lead a team of data scientists and analysts in building technical expertise in credit analysis. Drive quality control efforts and ensure analytics products meets quality, control, and consistency standards.
QUALIFICATIONS:
Minimum education and experience required: Master's degree in Operations Research, Statistics, Applied Mathematics, Data Science, Quantitative Finance or related field of study plus 5 years of experience in the job offered or as Data Scientist Lead, Data Scientist, Quantitative Finance/Risk, Data Engineer, Software Engineer, or related occupation.
Skills Required: This position requires three (3) years of experience with the following: building statistical, time-series or multivariate regression credit-risk models; client behavior classification and scoring; Correlating data patterns to intrinsic or external drivers; Statistical modeling using SAS, R, or Python. This position requires two (2) years of experience with the following: Delivering analytical services and advisory consulting; Managing data projects end-to-end including working with stakeholders on capturing requirements and supporting product user adoption; presenting technical solutions and results to executive-level audiences with compelling data visuals using PowerPoint, Tableau, or Qlik; Building and maintaining data workflow and process automation solutions using SAS or Alteryx on local or server instances; Querying large transactional and reference data using SQL on Oracle, Teradata, or AWS Redshift. This position requires one (1) year of experience with the following: incorporating Generative AI capabilities into credit risk monitoring frameworks by building AI and ML analytical tools with prompt engineering, accuracy assessment techniques, and LLM training for text categorization; Processing datasets through API calling for text categorization with AI and ML; Associating client financial metrics with industry-specific economic drivers. This position requires any amount of experience with the following: authoring technical specifications to data architecture and technology deployment teams; Authoring whitepapers to document approach and results; Meeting audit and regulatory requirements for analytical or modeling solutions; Implementing production solutions using Agile SDLC; Atlassian collaboration tools including Jira or Confluence.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, discretionary incentive compensation which may be awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits 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. Additional details about total compensation and benefits will be provided during the hiring process. In addition, please visit: https://careers.jpmorgan.com/us/en/about-us.
Job Location: 10 South Dearborn St, Chicago, IL 60603.
Full-Time. Salary: $135,874 - $200,000 per year.
About UsWe offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits 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. Additional details about total compensation and benefits will be provided during the hiring process.
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.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Skills Required
- Master's degree in Operations Research, Statistics, Applied Mathematics, Data Science, Quantitative Finance, or related field
- Minimum 5 years of relevant experience (Data Scientist Lead, Data Scientist, Quantitative Finance/Risk, Data Engineer, Software Engineer, or related)
- 3 years building statistical, time-series, or multivariate regression credit-risk models
- 3 years client behavior classification and scoring experience
- 3 years statistical modeling using SAS, R, or Python
- 2 years delivering analytical services and advisory consulting
- 2 years managing data projects end-to-end, including requirements capture and product user adoption
- 2 years presenting technical solutions and results to executive-level audiences with compelling data visuals using PowerPoint, Tableau, or Qlik
- 2 years building and maintaining data workflow and process automation solutions using SAS or Alteryx
- 2 years querying large transactional and reference data using SQL on Oracle, Teradata, or AWS Redshift
- 1 year incorporating Generative AI capabilities into credit risk monitoring frameworks, including prompt engineering, accuracy assessment, and LLM training for text categorization
- 1 year processing datasets through API calls for text categorization with AI and ML
- Experience associating client financial metrics with industry-specific economic drivers
- Experience authoring technical specifications for data architecture and technology deployment teams
- Experience authoring whitepapers to document approach and results
- Experience meeting audit and regulatory requirements for analytical or modeling solutions
- Experience implementing production solutions using Agile SDLC and Atlassian collaboration tools (Jira, Confluence)
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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