CCB Risk

JPMorgan Chase

Quick summary

Work type
On-site
Location
Wilmington, DE
Posted
2 days ago
Closes
Jul 16, 2026

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Salary context

How this pay compares to similar roles

Similar $174k
$126k most similar roles pay here $222k

This listing doesn't post a salary. Most similar roles pay $135,000–$212,500.

Based on 240 similar postings.

Employer

About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 394 open roles on FindRole.

Listed pay typically runs $152,000–$215,000 across 207 roles with salary data.

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At a glance

TL;DR · CCB Risk

Join the Risk Management team as a Senior Data Scientist where you will develop AI/ML solutions to drive critical credit decisions. You’ll collaborate with cross-functional teams to design and implement analytical models throughout their lifecycle, from data cleanup to performance monitoring. Key responsibilities include conducting credit risk analysis, performing quantitative analytics using Python and SAS, and leveraging distributed computing techniques in PySpark and Scala. The role demands expertise in machine learning methods such as decision trees, random forests, and logistic regression, along with experience in language model applications like GPT-4 and Claude. You will also contribute to regulatory compliance by preparing reports for senior management and ensuring alignment with business strategy. This position requires a Master’s degree plus 3 years of relevant experience or a PhD plus 1 year, ideally in Statistics, Computer Science, Mathematics, Engineering, or a related field.

What you'll do

  • Develop AI/ML solutions for critical credit decisions in risk management.
  • Design and implement analytical models across the entire account lifecycle.
  • Monitor and validate existing models to support risk strategy and business functions.
  • Apply machine learning techniques using Python, SAS, and other data science tools.
  • Conduct credit risk analysis and manage quantitative data throughout its lifecycle.
  • Prepare detailed reports and presentations for senior management and technical audiences.

What we're looking for

  • Master's degree in Statistics, Computer Science, Mathematics, Engineering or related field plus 3 years of experience
  • Experience with machine learning quantitative analytics using Python and SAS
  • Credit risk management experience in the financial industry
  • Proficiency in various analytical methods including decision trees, logistic regression, and clustering analysis
  • Expertise in data science libraries such as Pandas, NumPy, scikit-learn, TensorFlow, PyTorch
  • Experience with distributed computing techniques using PySpark and Scala
  • Ability to design interactive Excel and PowerPoint reports with advanced functionalities

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