Applied AI/ML Lead [Multiple Positions Available]

JPMorgan Chase • Wilmington, DE

98d

About The Position

Lead the design, development, and implementation of machine learning models to drive impactful decisions throughout the customer lifecycle, including acquisition, account management, credit authorization, and collections. Collaborate with cross-functional teams, including Marketing, Risk, Technology, and Model Governance to deliver innovative modeling solutions and ensure successful production deployment. Anticipate and promptly address stakeholder needs, ensuring alignment and satisfaction. Present model results and insights to senior leaders, effectively communicating insights and recommendations. Ensure compliance with internal and external model governance and regulatory requirements, design model explainability methods for risk estimation models. Lead and mentor team members, fostering an inclusive environment that promotes continuous learning and growth. Utilize technical proficiency in SAS, Python, or equivalent programming languages for data analysis, modeling tasks, and the development of credit risk scorecards. Perform data cleaning, feature engineering, selection, and hyper-parameter tuning for statistical and advanced machine learning techniques.

Requirements

• Master's degree in Applied Statistics, Information Science, Computer Science, Computer Engineering, Information Technology, Statistics, Data Analytics or related quantitative field of study.
• 5 years of experience in the job offered or as Applied AI/ML Lead, Machine Learning Engineer, Structural Analyst, or related occupation.
• 3 years of experience with designing, implementing, and managing machine learning pipelines on distributed computation platforms.
• 3 years of programming experience with Python focusing on data manipulation, analysis, and machine learning libraries.
• 3 years of experience developing and applying statistical models and advanced machine learning techniques.
• Experience interpreting and communicating the results of machine learning models.

Nice To Haves

• Experience with cloud-based solutions for scalable machine learning model development.
• Experience with data warehouse solutions such as Teradata, Snowflake, or Hive.
• Experience with JVM-based programming languages, including Java and Scala.
• Experience applying model explainability methods.

Responsibilities

• Lead the design, development, and implementation of machine learning models.
• Collaborate with cross-functional teams to deliver innovative modeling solutions.
• Anticipate and address stakeholder needs.
• Present model results and insights to senior leaders.
• Ensure compliance with model governance and regulatory requirements.
• Design model explainability methods for risk estimation models.
• Lead and mentor team members.

What This Job Offers

• Job Type: Full-time
• Industry: Credit Intermediation and Related Activities
• Education Level: Master's degree