JP Morgan Chase - Vice President - Applied AI/Machine Learning Lead - Risk Modeling

About the role:

JPMorganChase & Co. is a leading global financial services firm with operations worldwide and a leader in investment banking, financial services for consumers and small business, commercial banking, financial transaction processing, and asset management. We are currently seeking an Applied AI/Machine Learning Lead for the Risk Modeling team within Chase Consumer & Community Banking.

As an Applied AI/Machine Learning Lead - Vice President, 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. Your work will support risk management for the credit card and small business portfolios, helping drive long-term profitable growth through strong business acumen, disciplined execution, and clear communication to senior stakeholders.

Job responsibilities:

- Design and develop sophisticated AI, machine learning, and statistical models to drive impactful business decisions in consumer and small business credit risk.

- Apply novel approaches and advanced machine learning techniques to solve high-value problems, balancing predictive performance, stability, interpretability, and operational constraints.

- Leverage big data, distributed computing, and cloud platforms to optimize and accelerate model development processes.

- 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, fair lending, and compliance.

- Embed AI and generative AI into core workflows responsibly to improve speed and quality of delivery, including accelerating prototyping and experimentation, improving developer productivity, and producing high-quality model documentation.

- Promote strong governance and controls by ensuring models are well-documented, reproducible, monitored, and maintained.

Required qualifications, capabilities, and skills:

- Advanced degree in Mathematics, Statistics, Computer Science, Operations Research, Econometrics, Physics, or other related quantitative fields.

- Minimum 8 years of experience in developing and managing predictive risk models in financial institutions.

- Demonstrated ability to apply AI, including Generative AI, to improve core modeling workflows while maintaining rigorous model risk and control standards.

- Strong programming proficiency (Python, PyTorch or TensorFlow, PySpark, SQL) and ability to write production-quality, maintainable code.

- Familiarity with cloud services and distributed computing (e.g., AWS SageMaker, Amazon EMR, Spark) to scale model development and operationalization.

- Fundamental understanding of consumer lending business and how models support credit risk decisioning and portfolio strategies.

- Deep understanding of advanced machine learning algorithms (e.g., random forest, XGBoost, neural networks) and tuning/validation procedures.

- Effective communication skills with the ability to convey complex modeling concepts and results clearly to senior management.

Preferred qualifications, capabilities, and skills:

- Experience designing, building, and deploying production-quality AI and machine learning models end-to-end.

- Expertise in data wrangling and model building on distributed Spark environments; GPU experience is a plus.

- Experience supporting governance expectations in regulated environments; experience partnering with Fair Lending stakeholders is a plus.

- Strong ownership and execution skills with a track record of delivering models into production and driving adoption.

- Ability to collaborate across multiple stakeholders on initiatives of strategic importance.

- Exposure to generative AI and large language model patterns applied pragmatically to analytics/modeling productivity or risk use cases.

Location: Bengaluru.

Job Type: Permanent, Full-time.

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