JPMorgan Applied AI/Machine Learning Senior Associate 

United States, New Jersey, Jersey City 

10106218

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.