The Audit Data Analytics Lead is responsible for driving data-led audit capabilities and fostering a high-performing team that enhances the organization’s ability to detect risks, anomalies, and potential fraud across various banking processes and products. This role requires both strategic thinking and hands-on technical expertise.
Work responsibilities
- Lead and mentor a team of audit analytics, fostering a collaborative and high-performing environment.
- Conduct in-depth audit analysis to identify errors, anomalies, and potential fraud e.g., related to customer credit, aml/e-kyc, other banking products/processes.
- Coordinate with data engineering and other teams to design, develop, and maintain robust data pipelines, ensuring data quality and accessibility for audit analytics purposes
- Proactively identify and define crucial data points required for effective audit analytics.
- Implement and promote best practices in data governance, ensuring data accuracy, security, and compliance for audit analytics purpose
Develop clear, concise, and impactful reports and presentations for higher management, effectively communicating complex data insights and recommendations.
Job requirements
- Proven experience as a Data Analytics Team Lead within a Fintech, Banking, or Tech company, specifically in P2P lending.
- Demonstrated expertise in performing data analysis to detect errors and anomalies in customer credit behavior.
- Strong experience in coordinating the development of data pipelines and identifying necessary data points.
- Solid understanding of data governance principles and practices.
- Proficiency in creating comprehensive reports and delivering compelling presentations to senior management.
Mandatory Technical Skills
- Extensive experience with Cloud Data Infrastructure (e.g., AWS, Google Cloud Platform, Ali Cloud, etc.).
- High proficiency in programming languages such as SQL and Python.
- High proficiency in data visualization tools like Tableau or Power BI.
Additional (Plus) Points
- Experience as a developer or in application development.
- Prior experience or knowledge of banking processes.
- Involvement in projects utilizing Machine Learning.
Soft Skills
- Strong leadership skills with a proven ability to manage and inspire a team.
- Strong critical thinking and creativity for innovating audit approaches using data.
- Excellent interpersonal and communication skills for effective collaboration with cross-functional teams and stakeholders.
Leadership competency
People Manager