Internal Audit Analytics Lead - Data Science & Prototyping

JPMorgan Chase & Co.; Plano (TX); On-site; USD 120,000 - 150,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Data Scientist for the Internal Audit, Data Analytics team to lead refinement and prototyping of advanced analytics ideas. You will partner with audit stakeholders to turn concepts into development-ready prototypes, guiding them from framing through feasibility and hand-off to product owners.

Strong leadership and ML/NLP expertise are required. You will collaborate with global colleagues, manage multiple initiatives using Agile methods, and deliver actionable

Qualifications

• Leadership and influencing across diverse stakeholders
• Advanced knowledge of machine learning methods, DL frameworks & NLP
• Strong analytical and problem-solving to translate ideas into prototypes
• Excellent written and verbal communication to explain complex concepts
• Experience managing multiple initiatives with Agile practices
• Hands-on proficiency in data analysis and visualization tools
• Strong documentation discipline producing development-ready artifacts

Responsibilities

• Evaluate and develop new analytics ideas aligned with audit priorities
• Facilitate stakeholder sessions to refine problem statements
• Define benefits and gather empirical evidence for proposals
• Present findings to decision-makers for Go/No-Go decisions
• Lead feasibility work from data acquisition to prototyping and reviews
• Produce documentation and ensure hand-off to product owner
• Promote collaboration and understanding of data governance and approvals

Skills

Leadership

ML & DL

NLP

Analytics

Communication

Agile

Data visualization

Documentation

Tools

Python

Pandas

Visualization tools

ML frameworks

Job description

JPMorgan Chase & Co. is seeking a Data Scientist for the Internal Audit, Data Analytics team to lead refinement and prototyping of advanced analytics ideas. You will partner with audit stakeholders to turn concepts into development-ready prototypes, guiding them from framing through feasibility and hand-off to product owners.

Strong leadership and ML/NLP expertise are required. You will collaborate with global colleagues, manage multiple initiatives using Agile methods, and deliver actionable