Our client, a well-established financial services organisation, is looking for an experienced AI Analytics Internal Auditor to join their Internal Audit Function. You will design, build and support AI models and data analytics solutions that strengthen audit quality, risk analysis and decision-making across the business.This is a rare opportunity to sit at the intersection of data, AI and risk, working closely with audit teams and stakeholders at every level to embed analytics into the heart of the audit approach.Key Responsibilities:
Design, build and support the adoption of AI models to enhance audit processes, risk analysis and decision-making
Execute data analytics procedures within integrated audits, and lead standalone analytics reviews and projects
Identify risks and design analytics that address control gaps and inefficiencies
Develop and maintain data models, dashboards and reports that surface audit findings and efficiency opportunities
Assist in planning and preparing audit engagements, including scope and timelines
Oversee analytics projects to ensure delivery on time and within budget
Provide technical expertise and guidance to audit teams, and mentor junior team members
Communicate findings clearly to both technical and non-technical stakeholders
Document analytics methodologies, data sources and ETL processes
Contribute to analytics and modelling business development and go-to-market activities
Keep up to date with industry trends and bring innovative solutions to the audit process
Degree in Commerce, Computer Science, Mathematics, Economics, Informatics, Statistics, Actuarial Science or equivalent
Minimum 6 years' work experience, including at least 3 years as a data analyst or business data analyst and at least 1 year as an AI Builder
Strong experience with data analytics tools such as Excel, SQL, Power BI, DAX, IDEA, R and/or Python
Experience in data analysis, data warehousing, ETL, data visualisation and reporting (Power BI, Tableau or Looker)
Scripting skills and experience in developing, testing and implementing analytics solutions
Sound risk and control knowledge, with experience applying AI and analytics in an audit environment an advantage
Reinsurance knowledge an advantage, and underwriting knowledge a significant advantage
Strong problem-solving, critical thinking and project management skills
Excellent written and verbal communication, with the ability to present findings in non-technical language
A client-centric mindset, deadline-driven, and comfortable working in an ambiguous environment with multiple role players
Desired Skills:
AI Builer
Data Analyst
SQL
Power BI