Lead ACM model projects working closely with business leadership, vendors and other key stakeholders
Identify opportunities to design or enhance models through data, modeling approaches and operational strategies
Leverage ML/AI techniques to enhance data mining to identify new customer profiles and risk analysis
Maintain comprehensive model documentations needed to meet regulatory requirements.
Analyze datasets in order to find opportunities through data analytics
Manage model approval process with legal/compliance, model validation & development, business user and other governance teams
Assist the model sponsor and model owners in providing model technical documentation and responses related to model risk management for internal/ external reviews
Requirements
8+ years of experience in marketing/credit/fraud model development or model validation within financial services.
Master’s degree in Statistics, Mathematics, Data Science, or a related quantitative field; or 9+ years of equivalent model development/validation experience in financial services, banking, or retail.
4+ years of hands-on experience with data science/statistical tools and environments such as Python, Spark, data lake technologies, AWS SageMaker, H2O, and SAS.
4+ years of machine learning/advanced analytics experience, including handling large datasets.
4+ years of experience applying U.S. model risk management guidance (e.g. SR 11-7/OCC 2011-12).
Tech Stack
AWS
Python
Spark
Benefits
Flexible working hours
Professional development opportunities
Annual bonus based on individual and company performance
Options to work from home near one of our Hubs or in-office for engagement activities