AI Internal Auditor

Ashley Kruth; Johannesburg; Sur place; ZAR 900 000 - 1 700 000; Plein temps

Résumé du poste

Ashley Kruth is seeking an experienced AI Analytics Internal Auditor to join the Internal Audit Function in Johannesburg. You will design, build and support AI models and data analytics solutions to strengthen audit quality and risk decisions across the business.

Responsibilities include designing analytics, executing data procedures, mentoring junior staff and communicating findings to diverse stakeholders, while remaining up to date with industry trends.

Qualifications

• Bachelor-level degree in a quantitative or business field.
• 6+ years in data analytics or related roles; 1+ year AI builder.
• Strong experience with Excel, SQL, Power BI, DAX, IDEA, R or Python.

Responsabilités

• Design, build and support AI models to enhance audits and risk decisions.
• Lead data analytics procedures within integrated audits and analytics reviews.
• Identify risks and design analytics to address control gaps and inefficiencies.
• Develop data models, dashboards and reports to surface findings.
• Plan audit engagements, including scope and timelines; manage analytics projects.
• Mentor junior team members and provide guidance to audit teams.
• Communicate findings to technical and non-technical stakeholders.
• Document analytics methodologies, data sources and ETL processes.
• Contribute to analytics and modelling business development activities.

Connaissances

AI analytics

Data analysis

Risk analysis

Project management

communication

Problem solving

Formation

Degree in Commerce

Degree in Computer Science

Mathematics / Statistics

Outils

Excel

SQL

Power BI

DAX

IDEA

R

Python

Description du poste

Annually Cost To Company (Market related)

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.

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

What We're Looking For:

• 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

Please note only shortlisted candidates will be contacted