Avp/vp, Data Scientist - Audit Analytics & Ai Enablement, Internal Audit Department, Asia Pacific
Sumitomo Mitsui Banking Corporation
Singapore
On-site
Design and develop data analytics and ai solutions
Data extraction, preparation, and validation
Partner with audit teams
The job posting seeks an AVP/VP Data Scientist for Audit Analytics & AI Enablement at Sumitomo Mitsui Banking Corporation in Singapore. The role focuses on embedding data analytics and AI solutions within the Internal Audit Department to enhance audit efficiency and effectiveness across the Asia Pacific region
Job Summary
The purpose of this role is to design, develop, and embed data analytics and AI‑enabled solutions into Internal Audit activities, to enhance audit coverage, efficiency, and quality.
Job Responsibilities include designing, building, and maintaining reusable audit analytics and AI‑enabled routines to support audit planning, testing, issue identification, and reporting.
Drive analytics and AI capability uplift across IADAP through mentoring, structured training, documentation, and “train‑the‑trainer” knowledge transfer.
Matching Summary
Match Score: 85
The job posting seeks an AVP/VP Data Scientist for Audit Analytics & AI Enablement at Sumitomo Mitsui Banking Corporation in Singapore. The role focuses on embedding data analytics and AI solutions within the Internal Audit Department to enhance audit efficiency and effectiveness across the Asia Pacific region.
Skills & Requirements
Must-have
design and develop data analytics and AI solutions
data extraction, preparation, and validation
partner with audit teams
understand data availability and system constraints
develop continuous auditing routines
ensure adherence to methodology and governance
Nice-to-have
drive capability uplift through training
curious, adaptable, and committed to learning
team-oriented and engage constructively
Key Requirements
5–10 years of relevant experience
practical experience applying analytics to financial, operational, or regulatory processes
degree in Computer Science, Data Science, Mathematics, Financial Engineering, or related quantitative discipline