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JPMorgan Applied AI/Machine Learning Senior Associate 
United States, New Jersey, Jersey City 
10106218

31.08.2024

Job responsibilities-

  • Build machine learning models that assess authentication confidence and predict fraudulent events risk.
  • Participate and provide support throughout full cycle of the modeling projects, including data exploration, model development, quality control, and performance monitoring and model review.
  • Maintain partnership with business stakeholders. Collaborate to identify opportunities, collect business needs into model development and communicate model results to business users.
  • Conduct data science from big data and provide guidance to business on leveraging the modeling solutions.
  • Collaborate with IT teams to streamline, improve and deploy production models in cloud platforms and support firmwide technology enhancements.
  • Ensure models follow regulatory requirements and firm wide risk/control policies.
  • Work with colleagues with various backgrounds to maintain a productive and inclusive community.

Required qualifications, capabilities and skills -

  • Master or PhD degree in Statistics, Engineering, Computer Science, Mathematics, Physics, or other related quantitative fields of study.
  • Skills with analytical thinking and problem solving that demonstrate candidates able to understand the business contexts, form hypothesis with potential approaches leading to solutions, search for data, and build up a model to ingest data to solutions.
  • Experience on model development with statistical analysis and machine learning techniques such as Regressions, decision trees, Gradient Boosting, and Neural Networks. Depth knowledge.
  • Experience on model development systems such as AWS Cloud, Sagemaker, Apache Spark, Snowflake.
  • Skills with programming languages such as SQL, Python and PySpark
  • Communication skills that explain ML/AI model details to audience with various backgrounds.

Preferred qualifications, capabilities and skills -

  • Experience on sophisticated ML/AI methods like Deep Learning, NLP, LLM, Graph are further preferred.
  • Experience with Graph database and Graph modeling are further preferred.