AVP- Internal Audit (Data Analytics and Operational Support)

Headquartered in Tokyo, Sumitomo Mitsui Banking Corporation (SMBC) is a leading global financial institution and a core member of Sumitomo Mitsui Financial Group (SMBC Group). Built upon our rich Japanese heritage since 1876, we put our customers first and provide seamless access to, from and within the Asia Pacific region. SMBC is one of the largest Japanese banks by assets and maintain strong credit ratings across our global integrated network. We work closely as one SMBC Group to offer personal, corporate and investment banking services to meet the needs of our customers. With sustainability embedded within our strategy and operations, we are committed to creating a society in which today’s generation can enjoy economic prosperity and well-being, and pass it on to future generations. Key Responsibilities Data Analytics: Incorporate data analytic routines into the design, testing and documentation of audit programs in internal audits. Establish relationships with data owners to gain understanding of available data resources, flow of information and ways in which information can be leveraged in the audit process. Develops and implement automated, reusable data analytics scripts on financial, operational and regulatory processes and perform data extraction, format, analysis and validation to identify internal control breakdown and non-compliances. Develop data analytics capability in IADAP by leveling up the skillset of the team members. Work with IT audit team for automating IT/IS continuous auditing domains. Audit Operational Support: Support the internal audit operational activities such as all MIS reporting requests from IADAP Management. Responsible to ensure timely and comprehensive completion of internal audit related regulatory compliance activities, such as to track and coordinate submission of audit materials to local regulators. Other ad-hoc team duties, which may be requested from IADAP Management. Participate in the team’s strategic initiatives and projects as opportunities arise. Requirements Recognized degree or professional qualifications in computer science, mathematics or financial engineering. Minimum of 5 to 7 years of relevant working experience/proficiency in data analytics in audit, financial risk management or technology functions, preferably in banking, financial institutions, technology or consulting firms. Strong quantitative, analytical, data intuition and problem-solving skills, preferably with strong knowledge of data quality, analysis, extraction and loading from core banking, risk management and/or payment systems etc. Hands‐on experience with data analytics, visualisation, and advanced data manipulation tools (e.g. Python, Power BI, Tableau, Databricks or equivalent). Familiar with the RBI regulatory requirements specific to internal audit and data protection. Proficient in both spoken and written English. Good interpersonal and stakeholder management skills. Good team player as well as able to work independently. Meticulous, disciplined and self-motivated individual with the passion to pursue excellence.