Investment Bank Internal Audit - Vice President - Data Scientist

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

Help shape a data-enabled future for audit. You will lead the refinement and prototyping of advanced analytics ideas that strengthen assurance, improve efficiency, and deliver clearer insights.

As a Data Scientist on the Internal Audit, Data Analytics team, you will partner closely with audit stakeholders to turn promising ideas into development-ready prototypes. Working with global colleagues, you will guide concepts from early problem framing through feasibility assessment, proof-of-concept development, and hand-off to a product owner. You will combine strong leadership with deep technical expertise to help teams adopt innovative approaches to testing business and technology controls

Job responsibilities

• Evaluate and develop new analytics ideas, ensuring alignment with audit priorities and organizational goal
• Facilitate stakeholder sessions to refine problem statements and confirm a shared understanding of the need
• Define expected benefits and gather empirical evidence to support proposals and prioritization
• Present findings and recommendations to decision-makers to support clear Go/No-Go outcomes
• Lead feasibility work (environment setup, data acquisition, prototyping, and results review) and iterate based on learnings
• Produce clear documentation and ensure effective hand-off of artifacts to the product owner for downstream delivery
• Promote collaboration, critical thinking, and experimentation, and support teams in understanding data governance and required use‑case approvals

Required qualifications, capabilities, and skills

• Demonstrated leadership and influencing skills, with the ability to gain alignment across varied stakeholder groups
• Advanced knowledge of machine learning methods, deep learning frameworks, and natural language processing techniques
• Strong analytical and problem-solving skills to assess feasibility and translate ideas into actionable prototypes
• Excellent written and verbal communication skills, including the ability to explain complex concepts clearly
• Experience managing multiple initiatives concurrently, including use of Agile delivery practices
• Hands-on technical proficiency in data analysis and visualization tools
• Strong documentation discipline, including the ability to produce development-ready artifacts and decision materials

Preferred qualifications, capabilities, and skills

• Experience building proof-of-concept prototypes and transitioning them to delivery teams through structured hand-offs
• Familiarity with analytics use in audit, risk, compliance, or control testing environments
• Experience facilitating working sessions with senior leaders and cross‑functional teams
• Proficiency with common project management tools used to track and deliver concurrent initiatives