VP Data Scientist — Risk Analytics & AI

Testing Site - JPMC; New York (NY); On-site; USD 180,000 - 290,000; Full time

Job summary

JPMorgan Chase & Co. in New York seeks a Vice President Data Scientist for the Asset & Wealth Management Risk Analytics Group to design and deploy data-driven risk analytics solutions across financial markets and AI platforms.

You will partner with senior team members to identify use cases, develop NLP/ML models, and deliver scalable risk analytics that enhance decision-making and efficiency. A strong foundation in statistics, AI/ML, and big data is required.

Qualifications

• Minimum 4 years’ experience as a Data Scientist or in an applied AI/quantitative role.
• Strong foundation in statistics, applied AI/ML techniques, and advanced problem‑solving.
• Hands‑on experience with distributed computing, NLP (entity recognition, text classification, summarization, QA), and LLM optimization.
• Proficiency in Python, SQL, R, PyTorch or TensorFlow, and AWS.
• Experience with frameworks such as LangChain, LangGraph, or AutoGen.
• Demonstrated ability to improve model robustness and conduct advanced statistical modeling and A/B testing.
• Detail‑oriented, able to multi‑task, and work independently in a fast‑paced environment.
• Excellent communication and collaboration skills.
• Experience in modular programming and big data platforms.
• Bachelor’s degree in a quantitative or technology field.
• Proven track record of delivering data‑driven solutions in a business context.

Responsibilities

• Identify and evaluate use cases for data science to enhance risk analytics and create business value.
• Lead the development and continuous improvement of AI/ML and statistical techniques for data validation and analytics.
• Design, pre-train, and fine-tune production‑grade language models for hierarchical classification, summarization, and QA.
• Collaborate with stakeholders to deliver scalable, flexible solutions using approved AI and LLM technologies.
• Perform prompt engineering, quantization, and evaluation to optimize large language model robustness and performance.
• Analyze and onboard new, large data sets, ensuring alignment with best practice data models and architecture.
• Partner with Technology teams to optimize model performance and deployment using customized training frameworks.
• Design and implement sophisticated model serving systems leveraging distributed systems and AWS cloud.
• Contribute to the research and enhancement of risk methodologies, including sensitivity, stress, VaR, factor modeling, and Lending Value pricing.
• Support the full product development lifecycle, from defining objectives to delivering key data‑driven solutions.
• Communicate complex technical concepts clearly to both technical and non‑technical stakeholders.

Skills

NLP & ML modeling

Statistical analysis

Distributed computing

Communication

Problem-solving

Team collaboration

A/B testing

Prompt engineering

Big data handling

Delivery of data-driven solutions

Education

Bachelor's degree in quantitative or technology field

Master’s or PhD in quantitative or technology discipline

Tools

Python

SQL

R

PyTorch

TensorFlow

AWS

LangChain

LangGraph

AutoGen

Job description

JPMorgan Chase & Co. in New York seeks a Vice President Data Scientist for the Asset & Wealth Management Risk Analytics Group to design and deploy data-driven risk analytics solutions across financial markets and AI platforms.

You will partner with senior team members to identify use cases, develop NLP/ML models, and deliver scalable risk analytics that enhance decision-making and efficiency. A strong foundation in statistics, AI/ML, and big data is required.