Applied AI/ML Modeling, Senior Associate

What you'll do

• Develop and launch AI/ML models for lead scoring, propensity modeling, and next-best-action to improve banker sales effectiveness.
• Apply advanced techniques including deep learning, causal inference, reinforcement learning, and constrained optimization to solve business problems.
• Manage end-to-end modeling engagements from scoping use cases and defining success metrics to building project plans.
• Analyze large, complex datasets to formulate testable hypotheses and model performance.
• Translate complex model outputs into clear, actionable recommendations and narratives for non-technical business partners.
• Partner with governance teams to conduct model reviews, document limitations, and monitor performance and drift.
• Maintain adherence to regulatory and model risk management standards in a highly governed environment.

What we're looking for

• Master’s or Ph.D. in a quantitative discipline such as Computer Science, Statistics, Machine Learning, Econometrics, Operations Research, or Applied Mathematics.
• 3+ years of hands-on industry experience developing and deploying AI/ML models in production.
• Proficiency in Python with hands-on experience in TensorFlow, PyTorch, NumPy, Scikit-Learn, and Pandas.
• Strong working knowledge of notebooks and cloud-based development and compute.
• Deep expertise in at least one and meaningful exposure to another of recommendation systems, causal inference, online learning, or behavioral modeling.
• Demonstrated ability to communicate complex modeling concepts clearly to non-technical stakeholders.
• Ph.D. in a relevant discipline (preferred).
• Experience in consumer finance, fintech, retail, or high-scale customer engagement environments (preferred).