Applied Machine Learning / AI Senior Associate

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.

About The Team

The Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. We are here to help you manage your money with checking, savings and credit cards, combining the latest banking technology with comprehensive solutions to meet the financial needs of nearly half of U.S. households.