Chase is looking to drive impactful decisions throughout the customer lifecycle, including acquisition, account management, credit authorization, and collections, by leveraging machine learning models.
Requirements
- 3 years of experience with designing, implementing, and managing machine learning pipelines on distributed computation platforms such as Apache Spark, Hadoop, or HDFS
- Programming with Python focusing on data manipulation, analysis, and machine learning libraries including Pandas, NumPy, Scikit-learn, and PyTorch
- Developing and applying statistical models and advanced machine learning techniques including XGBoost, GLM, Random Forest, Neural Networks, Clustering, and K-Nearest Neighbors (KNN)
- Cloud-based solutions for scalable machine learning model development and management
- Data warehouse solutions such as Teradata, Snowflake, or Hive for data storage and retrieval
- JVM-based programming languages, including Java and Scala
- Applying model explainability methods to produce global and local explainability for machine learning models
Responsibilities
- Lead the design, development, and implementation of machine learning models
- Collaborate with cross-functional teams to deliver innovative modeling solutions
- Present model results and insights to senior leaders
- Ensure compliance with internal and external model governance and regulatory requirements
- Design model explainability methods for risk estimation models
- Perform data cleaning, feature engineering, selection, and hyper-parameter tuning for statistical and advanced machine learning techniques
- Utilize technical proficiency in SAS, Python, or equivalent programming languages for data analysis, modeling tasks, and the development of credit risk scorecards
Other
- 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
- Ability to communicate insights and recommendations to senior leaders
- Ability to work in a team environment and collaborate with cross-functional teams
- Ability to lead and mentor team members
