Internship: Group Risk Management, Group Risk Portfolio Management, Credit Risk Modelling [Jan to May 2027]
OCBC Bank · Singapore
WHO WE ARE:
As Singapore’s longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From there, we provide support, services, solutions, and career paths that meet their individual needs and desires.
Today, we’re on a journey of transformation. Leveraging technology and creativity to become a future-ready learning organisation. But for all that change, our strategic ambition is consistently clear and bold, which is to be Asia’s leading financial services partner for a sustainable future.
We invite you to build the bank of the future. Innovate the way we deliver financial services. Work in friendly, supportive teams. Build lasting value in your community. Help people grow their assets, business, and investments. Take your learning as far as you can. Or simply enjoy a vibrant, future-ready career.
Your Opportunity Starts Here.
Why Join
Be part of a team that is shaping the future of credit risk management through data, analytics, and emerging technologies. As a Credit Risk Modelling Intern, you'll gain exposure to how AI, GenAI, and advanced analytics are transforming the way risk models are developed, monitored, and managed within a leading financial institution. You'll have the opportunity to develop your technical, analytical, and communication skills while contributing to initiatives that drive innovation and strengthen the bank's risk management capabilities.
How You Succeed
To excel in this role, you'll need to be curious, analytical, and eager to explore new technologies. You'll work closely with risk modelling professionals to support AI, digital, and data initiatives that enhance the credit risk modelling lifecycle. Your ability to think critically, work with data, and communicate complex concepts clearly will be key to delivering meaningful outcomes and supporting the team's transformation agenda.
What You Do
Your responsibilities will include:
- AI & Digital Innovation: support AI, GenAI, and digital transformation initiatives within the Credit Risk Modelling team
- Model Lifecycle Enhancement: contribute to projects aimed at modernising the credit risk modelling lifecycle, including feature store development, automation, and process improvements
- AI-Driven Analytics: assist in the development and evaluation of AI-driven monitoring, insights generation, and risk analytics capabilities
- Data Analysis: analyse datasets and support quantitative assessments to identify trends, patterns, and opportunities for improving risk management processes
- Model Documentation: support initiatives to enhance model governance and documentation through AI-assisted tools and workflows
- Research & Exploration: conduct research on emerging AI technologies, industry developments, and potential use cases relevant to risk modelling and banking
- Stakeholder Support: collaborate with risk, data, and technology stakeholders to support project delivery and implementation activities
- Ad-hoc Projects: provide support on other analytics, digital transformation, and risk modelling initiatives as assigned
Who You Work With
Group Risk Portfolio Management plays a critical role in supporting the bank's risk management framework and ensuring sound credit decisions. Within the Credit Risk Modelling team, you'll work alongside quantitative analysts, data professionals, and risk specialists who develop and manage models used to assess and monitor credit risk across the bank. You'll gain valuable exposure to how data, analytics, and emerging technologies are driving innovation in risk management and decision-making.
Who You Are
- Open to learning and feedback
- Strong interest in AI, GenAI, data analytics, and financial services
- Curious, analytical, and an independent thinker
- Good written and verbal communication skills
- Familiarity with AI and GenAI concepts, tools, and common business use cases
- Understanding of responsible AI usage, data privacy, and information security considerations
- Comfortable working with data and performing quantitative analysis
- Strong problem-solving and critical-thinking skills
- Experience with data analytics, programming, or computational techniques would be advantageous
- Currently pursuing an undergraduate or postgraduate degree
Learning Objectives
This internship will provide you with:
- A practical understanding of AI and GenAI concepts, capabilities, limitations, and real-world applications
- Hands-on experience exploring and implementing AI-driven use cases within a banking environment
- Exposure to credit risk models and the role they play in portfolio risk assessment and decision-making
- Opportunities to develop data analytics, quantitative analysis, and problem-solving skills
- Experience supporting the modernisation of credit risk modelling processes through digital and AI-enabled solutions
- Exposure to responsible AI practices, data governance, and information security considerations
- Opportunities to strengthen communication and presentation skills by translating technical concepts into business-relevant insights
- Insights into how data, analytics, and emerging technologies are shaping the future of risk management in banking
What we offer:
Competitive base salary. A suite of holistic, flexible benefits to suit every lifestyle. Community initiatives. Industry-leading learning and professional development opportunities. Your wellbeing, growth and aspirations are every bit as cared for as the needs of our customers.