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JPMorgan Applied AI / ML Sr Associate 
United States, New Jersey, Jersey City 
285831159

13.07.2024

As AI ML Sr. Associate, you will drive long term profitable growth with strong business acumen, collaborate in a team environment, and effectively communicate results to senior management.

Job Responsibilities-

  • Design and develop machine learning models to drive impactful decisions for the card business throughout the customer lifecycle (e.g., acquisition, account management, transaction authorization, collection).
  • Research, develop, document, implement, maintain, and support tools and frameworks for AI/ML model explainability and fairness.
  • Utilize cutting-edge machine learning approaches and construct sophisticated machine learning models including deep learning architectures on big data platforms.
  • Work closely with the senior management team to develop ambitious, innovative modeling solutions and deliver them into production.
  • Collaborate with various partners in marketing, risk, technology, model governance, research etc. throughout the entire modeling lifecycle (development, review, deployment, and use of the models)

Required qualification, capabilities and skills-

  • Ph.D. or Master’s degree from an accredited university in a quantitative field such as Computer Science, Mathematics, Statistics, Econometrics, or Engineering
  • Demonstrated experience in designing, building, and deploying production quality machine learning models.
  • Deep understanding of advanced machine learning algorithms (e.g., regressions, XGBoost, Deep Neural Network – CNN and RNN, Clustering, Recommendation) as well as design and tuning.
  • At least one year of experience and proficiency in coding (e.g., Python, Tensorflow, Spark, or Scala) and big data technologies (e.g., Hadoop, Teradata, AWS cloud, Hive) .

Required qualification, capabilities and skills-

  • Experience in credit card industry with strong business acumen.
  • Demonstrated expertise in data wrangling and model building on a distributed Spark computation environment (with stability, scalability and efficiency). GPU experience is desired.
  • Experience in interpreting machine learning models such as XGBoost, GBM, etc. Experience in interpreting deep learning models is a plus.
  • Strong ownership and execution; proven experience in implementing models in production