Applied AI ML Lead RISK MODELING

About the role

As an Applied AI/Machine Learning Lead – Vice President within Chase Consumer & Community Banking Risk Modeling , you will lead the design, development, deployment, and monitoring of AI, machine learning, and statistical models, segmentations, and strategies leveraging big data and distributed computing platforms.

What you'll do

• Design and develop sophisticated AI, machine learning, and statistical models to drive impactful business decisions in consumer and small business credit risk (for…
• Apply novel approaches and advanced machine learning techniques to solve high-value problems, balancing predictive performance, stability
• Leverage big data, distributed computing, and cloud platforms to optimize and accelerate model development processes, enabling scalable feature engineering, training
• Partner with senior management to define modeling roadmaps, align solutions to business needs, communicate trade-offs, and drive execution through production delivery
• Collaborate across the full model lifecycle with key stakeholders in marketing, risk, technology, model governance/model risk management, fair lending, compliance

What you need

• 8–14 yrs of experience
• Machine learning
• SQL
• LLMs
• Python
• Spark
• AWS
• B.Tech or B.E. or B.Sc or BCA

Good to have

• PyTorch
• TensorFlow
• Credit risk
• Underwriting
• Prototyping
• Physics