Applied AI/ML Modeling - Senior Associate

What you'll do

• Develop and launch AI/ML models for sales effectiveness and banker enablement, including lead scoring, recommendations, prioritization, retention, and cross-sell.
• Scope modeling projects with business partners, define success metrics, analyze complex datasets, and translate model outputs into actionable recommendations.
• Partner with governance, risk, and controls teams on model reviews, documentation, performance monitoring, and regulatory and model risk standards.

What they ask for

• Master’s or Ph.D. in a quantitative discipline or related field.
• 3+ years of relevant industry experience developing and deploying AI/ML models in production.
• Proficiency in Python and hands-on experience with TensorFlow or PyTorch and NumPy, Scikit-Learn, and Pandas; working knowledge of notebooks and cloud-based development/compute.
• Deep expertise in at least one specified area—recommendation/decisioning, causal inference, online learning, or behavioral modeling—with meaningful exposure to at least one other.

Nice to have

• Ph.D. in a relevant discipline.
• Experience in high-scale customer engagement environments, relevant decisioning or causal inference tools, behavioral science, or platforms such as Databricks or Snowflake; practical MLOps experience.

Pay

$137,750.00-$195,000.00 (base salary); $114,000.00-$175,000.00 (base salary)

Tools

Python, TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas, Databricks, Snowflake

AI focus

Develop and deploy production AI/ML models for banker sales effectiveness and customer outcomes, using approaches including deep learning, causal inference, contextual bandits, reinforcement learning, and constrained optimization.