Credit Risk Modelling Intern: AI, GenAI & Data Analytics

OCBC; Singapore; On-site; SGD 20,000 - 27,000; Full time

Benefits offered by this job

Mentorship

Learning & development opportunities

Job summary

OCBC Bank in Singapore invites driven students for a Credit Risk Modelling Intern role. You will gain exposure to how AI, GenAI, and advanced analytics shape risk models, monitoring, and decision making within a leading financial institution.

You will work with risk modelling professionals to support AI, digital, and data initiatives, analyse datasets, and contribute to modernising the model lifecycle through tools and processes.

Qualifications

• Curious, analytical mindset and eager to learn new technologies.
• Familiarity with AI/GenAI concepts, tools, and common business use cases.
• Strong written and verbal communication skills.

Responsibilities

• Support AI, GenAI and digital transformation initiatives within the Credit Risk Modelling team.
• Modernise the credit risk modelling lifecycle, including feature store development and automation.
• Assist in AI-driven monitoring, insights generation, and risk analytics capabilities.
• Analyse datasets and support quantitative assessments to identify trends and improve risk management.
• Support model governance and documentation through AI-assisted tools and workflows.
• Conduct research on emerging AI technologies and potential use cases for risk modelling.
• Collaborate with risk, data and technology stakeholders to support project delivery and implementation.
• Provide ad-hoc support on analytics, digital transformation and risk modelling initiatives.

Skills

AI

GenAI

Data analytics

Programming

Analytical thinking

Communication skills

Education

Undergraduate or postgraduate degree

Job description

OCBC Bank in Singapore invites driven students for a Credit Risk Modelling Intern role. You will gain exposure to how AI, GenAI, and advanced analytics shape risk models, monitoring, and decision making within a leading financial institution.

You will work with risk modelling professionals to support AI, digital, and data initiatives, analyse datasets, and contribute to modernising the model lifecycle through tools and processes.