Key Responsibilities
- Provide quality assurance, influence business managers to improve control, and conduct testing as per the test plan
- Utilize industry-leading audit methodologies and data analytics tools
- Have an awareness of key risks and business goals in relevant business areas
- Contribute to transformation-related activities in the Data Analytics function
- Develop and code analytics functions and libraries
Your top priorities will include:
- Undertaking allocated tasks within the engagement life cycle for independent engagement assurance
- Assisting in the monitoring and risk assessment in the bank under management direction
- Engaging with business stakeholders to discuss key risks and improve understanding of business risks
- Enhancing audit engagement efficiency and sampling size using appropriate toolsets and approaches
- Monitoring outstanding issues, reporting on issues, and participating in audit discussions within the bank
Qualifications Required
- Graduate or postgraduate qualification in Business Analytics, Computer Science, B.Tech, or Statistics
- Certification in SAS, R, Python, Hadoop, or visualization tools
- Minimum of two years of relevant experience
- Hands-on proficiency in Python, PySpark, Snowflake, SQL, GenAI, and Tableau
- Experience in data management, data analytics, data architectures, file structures, and query utilities
- Operational knowledge of other programming or scripting languages
