The posting
What you'll do:
As Assistant Vice President for End User Computing Governance and Digital Enablement based in Singapore HQ, you will play a crucial role in supporting the team’s mission to deliver robust risk governance frameworks across APAC branches.
Your day-to-day responsibilities will involve creating detailed standards for EUC tools; executing risk classification; analysing processes for simplification; designing reusable automation solutions; supporting transitions into business-as-usual; configuring responsible AI applications; coordinating with diverse stakeholders; avoiding duplicative efforts; providing hands-on support for process improvements; and championing best practices in documentation.
Success in this role requires you to be dependable in managing multiple priorities across local and regional teams while maintaining high standards of control effectiveness. You will thrive by leveraging your technical expertise alongside strong interpersonal skills to foster collaboration among stakeholders from various disciplines.
- Create and maintain comprehensive EUC governance frameworks, standards, procedures and central inventories covering a wide range of tools including spreadsheets, VBA, Python, C#, Power Platform, Alteryx and SaaS applications.
- Execute or coordinate risk classification activities by validating controls and remediating issues in partnership with stakeholders to ensure appropriate governance pathways for EUCs.
- Analyse existing risk processes to identify areas for simplification and automation, delivering tailored solutions that address operational needs.
- Design, build, test and document reusable technology solutions using programming languages for data processing, validation, reconciliation, workflow optimisation and management reporting.
- Support the transition of developed solutions into business-as-usual operations through clear documentation, user training sessions, adoption support initiatives and regular reporting to management.
- Configure, train, test and monitor task-specific AI solutions with robust human review mechanisms to ensure compliance with internal requirements and responsible AI principles.
- Coordinate closely with APAC branches as well as Head Office teams—including business units, risk management groups, compliance officers, data specialists and technology stakeholders—to align solutions with broader organisational standards.
- Avoid duplicative development by ensuring all digital enablement initiatives are harmonised across local, regional and global teams.
- Provide hands-on support for process improvement projects that enhance control effectiveness while reducing operational errors throughout the region.
- Champion best practices in documentation, version control, error handling and access management for all delivered automation solutions.
What you bring:
- Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, Risk Management or Finance—or related discipline
- At least 3-5 years relevant experience in banking or finance institutions.
- Strong proficiency in Python programming combined with practical experience in one or more of C#, VBA, SQL, Power Apps, Power Automate, Power BI or Alteryx is mandatory for this position.
- Minimum three years’ experience in risk management or internal control functions (second or third line), demonstrating a strong sense of control framework within financial services environments.
- Proven track record delivering controlled production-quality automation projects featuring rigorous testing protocols, version control systems, error handling strategies, access management safeguards and thorough documentation practices.
- Advanced data analysis capabilities enabling you to work confidently with large complex datasets—performing data cleansing/mapping tasks—and translating results into actionable risk insights for management reporting purposes.
- Excellent communication skills allowing you to convey technical concepts clearly to both technical/non-technical audiences while facilitating effective stakeholder engagement.
- Practical experience using/training/configuring AI technologies for specific business tasks—including output testing/validation—managing limitations/applying human review/escalation controls as needed.
- Deep understanding of responsible AI risks such as privacy/confidentiality/security/bias/accuracy/explainability/intellectual property/data leakage/shadow AI concerns within regulated industries.
- Highly developed analytical/problem-solving/stakeholder-management/interpersonal skills enabling you to manage multiple priorities collaboratively across local/regional/global teams.
- Commitment to continuous learning demonstrated by participation in training opportunities or knowledge-sharing initiatives within previous roles.
We regret to inform that only shortlisted candidates will be notified. (Job ID:1008025)
