
FVP Head Tech Risk Governance & DA
- Singapore
- Permanent
- Full-time
- Drive adherence by Group Technology & Operations, to the Bank’s Technology risk management and third- party risk management framework, policies & guidelines.
- Strengthen risk management and governance oversight capabilities across Technology and Operations teams. Challenge and advise teams on technology and third-party risk matters, to ensure adequate resolution of risk issues, including incidents and complaints.
- Support senior management in risk oversight and governance, through analysis and reporting of key risk issues/ trends, key risk indicators, and facilitate discussions during the regular governance committee meetings.
- Ensure timely escalation of risk issues and incidents across the Group, for management awareness and development of action plans, and timely reporting to Second Line as required by Bank’s policies, and regulators as required by applicable regulations. Ensure timely closure of key actions set out to address risk issues and reverse adverse risk trends, with review of artefacts to ensure issues are addressed adequately.
- Function as the key liaison party with regulators eg. the MAS, on responses to queries. Ensure provision of quality responses in a timely manner. Where relevant, ensure effective operationalization of new/ existing regulatory requirements.
- Drive the data analytics program including the adoption of Gen AI where applicable within TOGA to enable the teams to better leverage data analytics for risk identification, assessment, trend analysis and assurance reviews. This will include the use of models to support use cases to capture entity-level risk profiles and use cases to increase the adoption of data analytics in assurance testing.
- Champion the use of Data Analytics within TOGA, and partner with regional counterparts to increase the adoption of data analytics in risk governance and assurance testing.
- Keep abreast of the latest cutting-edge developments in data science and advanced analytics and recommend adoption of best practices.
- Provide support and training to foster strong risk culture and risk awareness within the Group. Develop effective and collaborative relationships and foster ongoing open lines of communication regarding IT and third-party risk governance across the Group.
- Lead and mentor team effectively to achieve outcomes and build a high-performing and motivated team.
- Minimum of 13 years working experience with at least 7 years in any of these disciplines: technology and information risk management, audit, compliance, third-party risk management, data analytics, artificial intelligence, preferably in a banking environment. Broad and deep experience in managing and/or assessing the adequacy of controls over technology system and controls in a bank.
- A university degree in IT, computing, Information Systems, data analytics/ artificial intelligence, or any risk management related domain. Professional certifications like CRISC, FRM, CA, CISA, CISM, CISSP will be advantageous.
- Knowledge of machine learning algorithms, data transformation, predictive models, visualization techniques and statistical techniques eg. Logistic regression, clustering etc. Relevant prior experience in these areas would be advantageous.
- Technical Proficiency:
- Programming Languages: Python/ R, SQL, SAS
- Big Data Platforms: Cloudera, Hadoop, Hive, Spark
- Visualization Tools: Qlik, Power BI.
- Process automation, RPA preferable
- Strong leadership skills to sustain a high-performing and motivated team.
- Good communication, presentation and influencing skills and able to manage stakeholders across multiple disciplines.
- Excellent use of MS Word, MS Excel, PowerPoint. This is necessary for the creation of engaging reports and presentations, for senior management, executives, and stakeholders.