Internal Audit, Analytics Solutions Director - Commercial Investment Banking

Testing Site - JPMC; Jersey City (NJ); On-site; USD 180,000 - 280,000; Full time

Job summary

Testing Site - JPMC seeks a senior analytics leader to define the analytics vision and roadmap for Internal Audit in the CIB space. You will lead a global team delivering scalable data science solutions that embed data-driven testing into audit activities.

You will partner with senior stakeholders across Internal Audit, Technology, Data, and CIB to enhance audit coverage and support decisions with timely insights.

Qualifications

• Bachelor’s degree in data science, computer science, data analytics, statistics or a related field.
• 10–15+ years of relevant experience in internal audit, data science, analytics, technology, or risk/control functions.
• Experience applying ML/AI in risk/testing contexts in a highly regulated environment.
• Working knowledge of ML algorithms, deep learning, NLP techniques.
• Strong executive presence and ability to present complex concepts to senior management.
• Proven track record delivering scalable data science tools, automations and processes.
• Experience with large, complex datasets to support decision making.
• Ability to manage multiple initiatives with minimal supervision in a fast-paced environment.
• Proficiency with SQL, Python, Alteryx, Databricks; visualization with Tableau/QlikView.

Responsibilities

• Define and deliver analytics strategy aligned to audit plan priorities and assist risk coverage.
• Lead and develop a global analytics team, including coaching and succession planning.
• Design and govern data science solutions for automated, full-population testing.
• Oversee data acquisition and analysis across multiple systems with sound methodology.
• Prioritize capacity, budgets, and timelines for high-value analytics across the audit plan.
• Communicate insights through clear stories and visualization for leadership.
• Ensure development practices align with audit methodology and governance standards.
• Drive data literacy and self-service analytics through global training.
• Stay current on data science trends and bring innovations to Audit.

Skills

Executive presence

Leadership

Communication

Strategic thinking

Stakeholder management

Problem solving

Education

Bachelor's degree in Data Science, CS, Data Analytics, Statistics or related field

Graduate degree preferred

Tools

SQL

Python

Alteryx

Databricks

Tableau

QlikView

Job description

Join Internal Audit’s analytics leadership team to deliver data science and analytics solutions that strengthen audit assurance and insights, and improve effectiveness and efficiency across the Corporate & Investment Bank (CIB) audit plan.

In this role, you will set the analytics vision and execution roadmap, lead a global team of analytics professionals, and deliver a prioritized portfolio of scalable solutions that embed data-driven testing into audit activities. You will partner closely with senior stakeholders across Internal Audit, Technology, Data, and the CIB to produce timely, well-supported insights that enhance audit coverage, strengthen risk and control assessments, and support audit decision-making.

Job responsibilities

• Define and deliver the analytics strategy aligned to audit plan priorities; influence risk and control coverage through data science and analytics enabled solutions and insights.
• Lead and develop a global analytics team; drive talent recruiting and retention, coaching, succession planning, and foster a culture of critical thinking, innovation and inclusion.
• Design and govern sustainable data science and analytics solutions for automated, full-population testing to increase audit coverage and efficiency.
• Oversee data acquisition and analysis of complex disparate datasets from multiple systems; ensure sound methodology, documentation, and quality review.
• Prioritize and manage capacity, budgets, and timelines to ensure timely execution of high-value data science and analytics solutions across the audit plan.
• Communicate insights, findings through clear stories and visualization; serve as the senior analytics point of contact to leadership and key stakeholders.
• Ensuredevelopment practices align with audit methodology and firm technology/data governance standards
• Drive data literacy adoption and self-service capabilities through targeted global training
• Stay current with industry developments (in data science, automation, generative artificial intelligence) and drive relevant innovation back into the Audit department.

Required qualifications, capabilities, and skills

• Bachelor’s degree in one of the following; Data Science, Computer Science, Data Analytics, Statistics or a related field.
• 10–15+ years of relevant experience in Internal Audit, data science, data analytics, technology, or risk/control functions.
• Experience applying machine learning and artificial intelligence in risk/control testing contexts in a highly regulated environment.
• Working knowledge of machine learning algorithms, deep learning frameworks, and natural language processing techniques
• Strong executive presence, excellent communication and interpersonal skills; able to present complex concepts to senior management and diverse stakeholders.
• Proven track record developing and delivering scalable data science and analytical tools, automations, and processes.
• Demonstrated track record working with large, complex datasets and drawing conclusions which support decision making.
• Ability to manage multiple initiatives concurrently with minimal supervision; deliver timely, high-quality outcomes in a fast-paced environment.
• Proficiency with SQL, Python, Alteryx, Databricks; experience with visualization in QlikView and/or Tableau.

Preferred qualifications, capabilities, and skills

• Graduate degree or professional certifications (e.g., CIA, CISA, FRM, CFA).
• Knowledge of Corporate & Investment Bank financial products, operations, and relevant regulations.