Applied AI/ML Data Scientist - Vice President

As a VP AI/ML Data Scientist in CIB's Global Banking & Payments group, you will translate complex banking challenges into scalable, production-grade AI/ML and LLM solutions. Partnering with stakeholders across Global Banking & Payments, front office, Product, and Client Onboarding & Service (COS), you'll build prototypes and deliver governed models and intelligent agents that improve origination velocity, revenue quality, client engagement, operational efficiency, and risk reduction.

What You'll Do

• Define & deliver high-value use cases with Global Banking & Payments stakeholders — prospecting and wallet-share models, fee/revenue forecasting, deal probability, investor/counterparty mapping, onboarding triage, service case routing, and execution analytics.
• Build COS Agents to automate Client Onboarding & Service workflows — document intake/QC, KYC data extraction, case summarization, and multi-step resolution.
• Develop LLM solutions using retrieval-augmented generation, agent orchestration, prompt engineering, guardrails, and red-teaming to deliver reliable, explainable outcomes.
• Own end-to-end pipelines: data profiling, feature engineering, model development, evaluation, fairness/explainability, and production deployment in cloud and hybrid environments.
• Implement MLOps: version control, model registry, CI/CD, containerization, automated testing, monitoring, drift detection, and incident/rollback procedures.
• Leverage cloud data platforms: AWS (EKS, EC2, Lambda), query engines (Starburst/Trino), data warehouses (Redshift), and graph databases (Neptune).
• Ensure governance & compliance — enforce data access controls, privacy requirements, secure compute, and lineage throughout the model lifecycle.
• Drive adoption: run A/B tests, capture user feedback, mentor junior team members, and champion responsible AI practices.

Required Qualifications

• 7–10+ years building and deploying ML models in production, ideally in banking, payments, or similarly regulated domains.
• Strong Python & SQL; proficiency with pandas, NumPy, scikit-learn, XGBoost, and at least one deep learning framework (PyTorch or TensorFlow); solid software engineering practices.
• MLOps experience: containerization/orchestration, experiment tracking, model registries, monitoring, drift detection, and structured change management.
• Cloud fluency: AWS services (EKS, EC2, Lambda), distributed query engines, and data warehousing.
• Stakeholder management: proven ability to translate banking workflows and commercial objectives into technical requirements; strong communication across front office, Product, risk, compliance, and technology.
• Data governance awareness: familiarity with KYC/AML context and model risk frameworks.

Preferred Qualifications

• Experience supporting Global Banking & Payments and COS stakeholders.
• Hands‑on with LLMs and agentic systems: RAG, structured outputs, tool use, guardrails/safety, and evaluation frameworks.
• Experience with graph analytics, NLP, and time‑series modeling for prospecting, network analysis, and forecasting.
• Familiarity with feature stores, A/B testing, and performance/cost optimization at scale.
• Advanced degree in a quantitative field (Computer Science, Statistics, Mathematics, Engineering, or quantitative Finance/Economics) or equivalent experience.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans