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CCB Risk Program Associate

JPMorgan Chase
Wilmington, DE Full Time
POSTED ON 1/29/2025
AVAILABLE BEFORE 3/29/2025

Come join us to reshaping the future!

Job summary-

As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities.In the Business Banking Risk Modeling Team, you will be part of a team that is responsible for developing cutting-edge artificial intelligence and machine learning (AI/ML) based solutions that drive key credit decisions in the risk management process.

Job Responsibilities-

  • Apply analytical, data science, and machine learning skills to solve complex business problems.
  • Work across teams to design, develop, and implement analytical models.
  • Responsible for these models throughout the model’s life cycle, including data cleanup, data analysis, model selection, ongoing performance monitoring, issue resolution, and model retirement.

Required qualification, capabilities and skills-

  • 3 years of relevant analytics experience.
  • Hands-on experience in quantitative data management and analytics, including data extraction, cleaning, transformation, and visualization.
  • Extensive practical expertise and work experience with Machine Learning, both supervised and unsupervised.
  • Excellent programming skills using Python/SAS and/or R, Spark, Hive, SQL.
  • Familiarity with standard data science tooling and good understanding of algorithms and software engineering fundamentals.
  • Excellent problem solving, communications, and teamwork skills. 

Preferred qualifications, capabilities and skills-

  • Experience with credit risk modeling and analytics such as scorecard or loss forecasting models.
  • Extensive experience with design and deployment of AI/ML models with modern data science techniques such as XGBoost, Neural Networks.
  • Experience in working with engineering teams to operationalize Machine Learning models.

 

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