Secure access to data warehouses and other relevant data sources.
Manage secure data transfers from business units.
Create and maintain data dictionaries and reusable datasets for audit use.
Clean, transform, and prepare data for audit testing.
Build and maintain reusable, automated audit analytics programs.
Develop sustainable analytics models, scripts, and dashboards to support audit execution.
Collaborate with audit teams to design and implement complex, insightful analytics tests.
Ensure compliance with data security and transfer protocols.
Identify opportunities to embed data science and A.I solutions into audit planning, fieldwork, and reporting.
Develop and implement data-driven business monitoring programs.
Research and evaluate emerging analytics tools and techniques relevant to audit.
Build strong relationships with data owners, business MI teams, and audit stakeholders.
Act as a trusted advisor to audit teams on analytics opportunities and best practices.
Communicate progress and insights to Data Analytics Manager and Head of Department.
Stay current with developments in data analytics, audit, and regulatory trends.
Share knowledge and tools with peers across Internal Audit.
Apply analytics across the audit lifecycle: risk assessment, control testing, and outcomes analysis.
Proactively identify opportunities to improve audit processes through analytics.
Take initiative on additional tasks and projects that enhance audit value.

Bachelor’s degree in informatics, Statistics, Computer Science, Actuarial Science, or a related field.
Minimum of 3
5 years’ hands-on experience in data analytics and data science, with a strong focus on coding-based tools.
Experience in Applied Machine Learning is an advantage.
Proven experience in Python, SQL is essential.
Proficiency in Excel and/or Power BI is expected, but not as primary tools.
Familiarity with SAS or R is advantageous.
Experience developing analytics in support of risk, controls, or audit functions.
Exposure to financial services or regulated industries is preferred.
Relevant certifications (e.g., SAS, SQL, Python, data mining, machine learning) are advantageous.

Junior Specialist, Analytics – Data Science

Key skills