VP, AI & Data Strategy for Risk Management

OCBC

Singapore

On-site

SGD 120,000 - 180,000

Full time

7 days ago
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Benefits offered by this job

Competitive salary
Learning opportunities
Flexible benefits

Job summary

OCBC in Singapore is seeking an AI & Data Analyst within Group Risk Management to drive practical AI use cases, improve engagement, and enhance operational efficiency. You will collaborate with business stakeholders, data engineers, and technology teams to translate challenges into AI and data solutions.

You will guide risk management on GenAI cost estimation, model selection, and benefit realisation while upholding governance and responsible AI practices across the bank.

Qualifications

  • Degree in analytics, statistics, CS, information systems, or related field.
  • Minimum 10 years of experience in AI, data analytics, BI, or related discipline.
  • Experience in banking or regulated industries is advantageous.
  • Ability to plan and manage end-to-end complex deliverables.

Responsibilities

  • Partner with stakeholders to define requirements and deliver AI/data-driven solutions.
  • Bridge business needs with tech and data science teams for implementation.
  • Promote emerging technologies and cost estimation for GenAI workloads.
  • Provide oversight of AI/data work items across Risk Management.
  • Develop, deploy, and monitor AI/analytics solutions aligned with priorities.
  • Ensure governance, data privacy, and responsible AI practices.

Skills

Stakeholder management
Analytical thinking
Business acumen
Communication

Education

Master's degree in Analytics / Data Science / CS

Tools

GenAI
AI platforms
Data analytics tools

Job description

OCBC in Singapore is seeking an AI & Data Analyst within Group Risk Management to drive practical AI use cases, improve engagement, and enhance operational efficiency. You will collaborate with business stakeholders, data engineers, and technology teams to translate challenges into AI and data solutions.

You will guide risk management on GenAI cost estimation, model selection, and benefit realisation while upholding governance and responsible AI practices across the bank.

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