Looking for a career that allows you to take ownership of your work
You will be responsible for leading Data Analytics–Driven IT Audit activities across the AZAP region.
You'll Be Responsible For
- Identify business/IT risks through analysis of large volumes of data as part of risk-based planning and audit execution.
- Participate in audit assignments across the region, including data preparation, cleansing, and interpretation to identify trends, anomalies, and key insights.
- Execute and enhance audit projects through digitalisation, data analytics, and AI-driven approaches.
- Lead the development of data analytics maturity across the region by identifying use cases, refining methodologies, and promoting adoption of emerging technologies.
- Drive and promote a data analytics and AI culture within the regional audit team, ensuring effective use of analytics in audit execution.
- Define continuous monitoring scenarios, including red flags, alert mechanisms, and automated control testing to mitigate operational risks.
- Communicate effectively with stakeholders across all hierarchy levels.
- Act as the key interface between Group, Region, and OEs on data analytics and AI topics.
- Lead the end-to-end audit lifecycle, including planning, execution, reporting, and follow-up.
- Lead closing meetings with auditees and senior management, and finalise audit reports with management feedback.
- Lead and coach audit teams during engagements and regional initiatives.
- Drive regional harmonisation initiatives, including standardisation and adoption of best practices.
- Support CAEs as a subject matter expert on audit, data analytics, and AI topics.
Important To Your Success
- A bachelor's degree; in a business discipline such as Information Technology, Data Science, Engineering, accounting, finance, management or in Actuarial Science.
- Relevant certifications, for example, CIA, CISA, or CISSP would be an added advantage. Minimum 5 years of experience in data analysis and IT internal audit.
- 5-10 years of experience in the financial institution sector (preferably insurance) internal/external audit experience and experience in data analytics preferred, relevant industry knowledge will also be considered.
- Strong understanding and application of data analytics in financial services, audit, and/or risk management.
- Strong analytical mindset with the ability to interpret large and complex datasets.
- Proficient in programming and data analytics tools, e.g. SAS, SQL, and advance proficiency in tools and scripting such as CaseWare IDEA and Python.
- Proficient in visualisation tools (e.g. Excel, IDEA, Power BI), with interest in developing AI and advanced analytics capabilities.
- Proficient in MS Office (Word, Excel, PowerPoint).
- Team-oriented, self-motivated, and proactive working style. Ability to work effectively in a global environment with diverse stakeholders.
- Professional proficiency in English (written and spoken), fluency in Mandarin, Bahasa, or Thai will be an added advantage.
- Solid IT knowledge (e.g. IT governance, information security, systems, project management).
- Strong interpersonal skills with the ability to engage diverse stakeholders, effective communication with the ability to convey issues tactfully
- High integrity and ability to act as a trusted business partner
- Familiarity with AI tools like ChatGPT or Copilot is an added advantage.
Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us.
We at Allianz believe in a diverse and inclusive workforce and are proud to be an equal opportunity employer. We encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love or what you believe in.
We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation.
Join us. Let's care for tomorrow. 
