Data Scientist Lead

JPMorgan Chase & Co.; Chicago (IL); On-site; USD 136,000 - 200,000; Full time

Benefits offered by this job

Health care

Wellness centers

Retirement plan

Backup childcare

Tuition reimbursement

Mental health support

Financial coaching

Job summary

JPMorganChase & Co. in Chicago, IL is seeking a data analytics leader to oversee enterprise risk analytics for a commercial banking portfolio.

You will lead a team of data scientists and analysts, drive analytics strategy, and partner with executive stakeholders to translate insights into risk management actions. The role requires a Master’s degree in a quantitative field, 5+ years of related experience, and hands-on expertise with SAS, Python, R, SQL, and BI tools.

Qualifications

• Master’s degree in quantitative field aligned with credit analytics.
• 5+ years in analytics roles such as data scientist or risk analytics.
• 3+ years building credit risk models and time-series analyses.
• 3+ years with client behavior scoring and data pattern analytics.
• 2+ years delivering analytics via SAS, Python, or R.
• 2+ years leading end-to-end data projects with stakeholder engagement.
• Experience presenting to executives with visuals in PowerPoint, Tableau, or Qlik.
• Familiarity with Agile SDLC and Atlassian tools (Jira/Confluence).
• Experience implementing production analytics solutions and data architecture.

Responsibilities

• Drive analytics strategy for a commercial bank lending portfolio and align data priorities with business goals.
• Advance data science capabilities using Generative AI to improve surveillance of borrowers.
• Serve as functional manager and SME for credit analytics processes and data products.
• Partner with senior stakeholders to define requirements and analytics for risk strategy.
• Lead end-to-end analytics initiatives and monthly executive reporting on portfolio health.
• Translate complex findings into actionable business recommendations.
• Mentor a team of data scientists and analysts to strengthen credit analysis expertise.
• Oversee quality control to ensure consistency and governance of analytics products.

Education

Master’s degree in Operations Research / Statistics / Applied Mathematics / Data Science / Quantitative Finance or related field

Tools

SAS

Python

R

SQL

Oracle

Teradata

AWS Redshift

Tableau

Qlik

Alteryx

Jira

Confluence

LLM / Generative AI

Job description

Salary: $135,874 - 200,000 per year

Requirements:

• We require a masters degree in Operations Research, Statistics, Applied Mathematics, Data Science, Quantitative Finance, or a related discipline, plus 5 years of experience in the role offered or in a closely related position such as Data Scientist Lead, Data Scientist, Quantitative Finance/Risk, Data Engineer, or Software Engineer.
• We require 3 years of experience building statistical, time-series, or multivariate regression credit risk models.
• We require 3 years of experience with client behavior classification and scoring.
• We require 3 years of experience correlating data patterns to internal or external drivers.
• We require 3 years of experience using SAS, R, or Python for statistical modeling.
• We require 2 years of experience delivering analytical services and advisory consulting.
• We require 2 years of experience managing end-to-end data projects, including stakeholder requirement gathering and product adoption support.
• We require 2 years of experience presenting technical solutions and results to executive audiences using compelling visuals in PowerPoint, Tableau, or Qlik.
• We require 2 years of experience building and maintaining data workflow and process automation solutions using SAS or Alteryx on local or server-based environments.
• We require 2 years of experience querying large transactional and reference datasets using SQL on Oracle, Teradata, or AWS Redshift.
• We require 1 year of experience incorporating Generative AI into credit risk monitoring frameworks through AI and ML tools, prompt engineering, accuracy assessment, and LLM training for text categorization.
• We require 1 year of experience processing datasets through API calls for text categorization with AI and ML.
• We require 1 year of experience connecting client financial metrics with industry-specific economic drivers.
• We require experience authoring technical specifications for data architecture and technology deployment teams.
• We require experience writing white papers to document approach and results.
• We require experience meeting audit and regulatory standards for analytical or modeling solutions.
• We require experience implementing production solutions using Agile SDLC.
• We require familiarity with Atlassian collaboration tools such as Jira or Confluence.

Responsibilities:

• We will drive and execute a comprehensive analytics strategy for a commercial bank lending portfolio, aligning data science priorities with business goals to strengthen portfolio monitoring and support growth.
• We will advance next-generation data science capabilities using Generative AI and advanced analytics to improve surveillance of middle market companies and commercial real estate investors.
• We will act as a functional manager and subject matter expert on credit analytics processes and data products, ensuring they support business objectives.
• We will partner with senior stakeholders to understand management needs around portfolio monitoring and insight analysis.
• We will define requirements and shape analytics that inform risk strategy.
• We will lead end-to-end analytics initiatives, including monthly executive management reporting on credit portfolio health.
• We will translate complex analytical findings into clear, actionable business recommendations.
• We will mentor and help guide a team of data scientists and analysts to strengthen technical expertise in credit analysis.
• We will oversee quality control efforts and ensure our analytics products meet standards for quality, consistency, and control.

Technologies:

• AI
• API
• AWS
• Redshift
• Alteryx
• Atlassian
• Confluence
• Support
• JIRA
• LLM
• Marketing
• Oracle
• Python
• Qlik
• SAS
• SQL
• Tableau
• Cloud

More:

We are JPMorganChase, one of the worlds oldest financial institutions, delivering innovative financial solutions to consumers, small businesses, and major corporate, institutional, and government clients through the J.P. Morgan and Chase brands. With more than 200 years of history, we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing, and asset management. This full-time role is based in Chicago, Illinois, at 10 South Dearborn St., with a salary range of $135,874 to $200,000 per year. We offer a competitive total rewards package, and eligible employees may receive discretionary incentive compensation. Our benefits can include comprehensive health care, wellness centers, retirement savings, backup childcare, tuition reimbursement, mental health support, and financial coaching. We value diversity, inclusion, and equal opportunity, and our Corporate Functions team plays a key role across finance, risk, human resources, marketing, and other essential business areas.