Manager, Analytics & Data Science – Internal Audit
Core
Design, develop, and implement analytical procedures and continuous monitoring strategies to support internal audit population scoping, sampling, testing, and risk assessment.
Role type
Manager, Analytics & Data Science (Internal Audit)
Builds
Analytical procedures, data models, and continuous monitoring strategies for audit teams
Domain
Financial services / Internal Audit / Risk & Compliance
Deliverable
production ML models
Required skills
SQL, Python, Data analysis, Statistics (correlation, regression), Project management, Stakeholder management, Agile methodology
Preferred skills
Financial crime and compliance experience, Dataiku, Tableau, Power BI, Bachelor's degree in CS, MIS, Accounting, or Finance
Technologies
Power BI, Python, SQL, Tableau, Dataiku, Flow
Responsibilities
Design and document analytical procedures for data sourcing, preparation, transformation, and modeling; Implement effective continuous monitoring and auditing strategies; Interpret analytics outputs to guide audit teams on exception handling; Collaborate with stakeholders to understand data flows and advise on analytical solutions; Identify, escalate, and mitigate risk, conduct, and compliance matters.
Seniority
Manager, hands-on IC
