AI & Data Analyst — Risk Management & Growth Catalyst

OCBC Group

Singapore

On-site

SGD 120,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Competitive salary
Flexible benefits
Community initiatives
Learning & development
Employee wellbeing

Job summary

OCBC Bank is seeking an AI & Data Analyst within Group Risk Management to develop AI-driven use cases, enhance decision making, and improve risk and business outcomes. You will collaborate with risk managers, data engineers, data scientists, and technology teams to deliver practical AI applications.

You will guide model selection, GenAI workload cost estimation, and benefit realisation while ensuring governance and responsible AI practices across the bank.

Qualifications

  • Degree in Analytics, Statistics, Mathematics, Computer Science, Information Systems, Business, Economics, or a related field.
  • Minimum 5 years of experience in AI, data analytics, business intelligence, or a related discipline.
  • Ability to plan and manage the end-to-end execution of complex deliverables and associated timelines.

Responsibilities

  • Partner with key stakeholders to understand objectives, define requirements, and develop AI & data-driven solutions.
  • Promote a data-driven, AI-enabled and innovation-led culture across Group Risk Management; develop, deploy and monitor AI and analytics solutions.
  • Work closely with Data Engineering and Data Science teams; adhere to data governance, privacy, regulatory, and responsible AI requirements.

Skills

LLMs
RAG
Agentic AI
DevOps tools
Power BI
Python
Excel
SQL
AWS services
Copilot
Power Automate
Risk concepts

Education

Degree in Analytics, Statistics, Mathematics, Computer Science, Information Systems, Business, Economics

Tools

Confluent
Bitbucket
Jenkins
JIRA

Job description

OCBC Bank is seeking an AI & Data Analyst within Group Risk Management to develop AI-driven use cases, enhance decision making, and improve risk and business outcomes. You will collaborate with risk managers, data engineers, data scientists, and technology teams to deliver practical AI applications.

You will guide model selection, GenAI workload cost estimation, and benefit realisation while ensuring governance and responsible AI practices across the bank.

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