Responsibilities

• Design, develop, and deploy machine learning models to optimize customer acquisition, onboarding, and lifecycle engagement across financial products (e.g., loans, credit cards, money, invest, crypto and etc).
• Build predictive models for critical business outcomes, including Customer Lifetime Value (LTV), conversion propensity, cross-sell/upsell effectiveness, and retention across various channels (e.g., direct mail, email, in-app, Operations).
• Leverage structured and unstructured data to drive audience segmentation and personalization at scale and maintain a robust feature store.
• Build experimentation frameworks to support A/B testing and measure incremental business impact of the models.
• Collaborate with Fair Lending and Model Risk Management to ensure compliance and responsible marketing practices.
• Support scoring and implementation of models through real-time and batch processes for marketing execution and analytics.
• Monitor model performance and iterate based on conversion, retention, revenue, and risk-adjusted returns.
• Partner with MDS and business stakeholders to define requirements, prioritize the model pipeline, and monitor performance.
• Stay at the forefront of modeling, data, and AI innovations to support scalable marketing growth in financial services.