Job Summary: This position will play a pivotal role in supporting GIA Thailand in the development and execution of its data analytics strategy and roadmap. By leveraging data-driven insights, the role aims to enhance audit efficiency and effectiveness through data analysis.
Responsibilities:
- Contribute to the formulation of the annual risk-based audit plan by assessing key risks at the local business unit level and integrating input from the Group Office.
- Support audit engagements through the development and execution of data analysis procedures using SQL, Python, and/or Power BI, with a focus on identifying key risks within the audit scope and generating actionable insights for the audit team and management.
- Develop and maintain the GIA datamart and data pipeline.
- Lead the development of dashboards and data visualisations to effectively communicate insights to audit stakeholders.
- Design and implement advanced analytics solutions, such as unsupervised and semi-supervised machine learning, to detect unusual or anomalous patterns, to enable GIA to deliver proactive assurance to management.
- Establish ongoing monitoring of key risk indicators through data analytics, supporting a proactive and continuous approach to risk identification and management.
- Provide technical expertise and guidance on the integration of data analytics methodologies and tools across the GIA team throughout the audit lifecycle.
- Communicate audit findings and recommendations through well-structured written reports and presentations, offering professional insights to support informed decision-making by management.
- Foster strong relationships with stakeholders, collaborate to address risk exposures and enhance the effectiveness of internal controls.
Qualifications:
- Minimum Bachelor's degree. Major in Computer Science / Data Analytics or equivalent would be an advantage.
- Over 5 years of experience in data analytics and/or data engineering.
- Internal/external audit experience in the insurance, financial or a related industry would be an advantage
- Professional certifications in data science/analytics or other relevant certifications.
Knowledge
- Advanced proficiency in data analytics tools, including SQL, Python, and data visualisation platforms such as Power BI and Tableau
- Experience in applying Artificial Intelligence / Machine Learning techniques, such as unsupervised machine learning and graph analytics, is preferred
- Knowledge of spark/ Databricks is preferred
- Strong understanding and practical experience in the insurance industry, including the ability to contribute valuable insights into industry-specific risks and controls, are considered as advantage
Other skills
- Strong communication and collaboration skills, with the ability to guide teams effectively and drive results
- Excellent project management and organisational skills, ensuring tasks are executed efficiently and aligned with strategic objectives
- Exceptional analytical acumen, with a proven ability to identify key trends and risks, and effectively communicate findings to stakeholders for informed decision-making.
- Exceptional proficiency in English communication, both written and verbal, including presentation skills, interpersonal, and relationship building skills
- Strong problem-solving capabilities, with the ability to analyse complex data sets, identify underlying issues, conduct thorough investigations, and draw well-reasoned conclusions
Capability of performing effectively under pressure, consistently meeting project milestones within defined time, cost, and quality parameters
