Internship: Group Risk Management, Group Market Risk Management, Analytics [Jan to May 2027]

ocbc; Singapore; On-site; SGD 17,000 - 22,000; Full time

Job summary

OCBC is offering an Analytics Intern position in Singapore within Group Market Risk Management. You will gain hands-on exposure to AI, machine learning, and quantitative analytics in a real‑world banking environment, supporting data‑driven decision‑making and risk measurement.

You will work with quantitative analysts, risk managers, and technology stakeholders to develop analytical solutions, explore AI use cases, and contribute to innovative insights.

Qualifications

• Pursuing an undergraduate or postgraduate degree in a quantitative field.
• Proficient in Python and comfortable with data analysis techniques.
• Strong interest in AI, ML, data science, and quantitative analytics.

Responsibilities

• Support AI/ML model development and analytics for risk management.
• Analyze large datasets to identify trends, generate insights, and support decision‑making.
• Collaborate with quantitative analysts, data scientists, and risk professionals to deploy analytical solutions.
• Assist in evaluating AI use cases and implementing data‑driven approaches.

Skills

Python

AI interest

Machine Learning

Data science

Big data

Deep learning

Derivatives pricing

Analytical thinking

Education

Undergraduate or postgraduate degree in CS/Data Science/Math/Statistics/Engineering

Tools

Analytical tools

Job description

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 leverages data, analytics, and emerging technologies to strengthen risk management and support better decision-making across the bank. As an Analytics Intern within Group Market Risk Management, you'll gain hands‑on exposure to artificial intelligence, machine learning, and quantitative analytics in a real‑world banking environment. You'll have the opportunity to develop technical and analytical skills while contributing to innovative solutions that drive business insights and enhance risk management capabilities.

How You Succeed

To excel in this role, you'll need to be curious, analytical, and passionate about solving complex problems using data. You'll work closely with quantitative analysts, risk managers, and technology stakeholders to develop analytical solutions, explore AI use cases, and support data-driven decision‑making. Your ability to think critically, learn new technologies, and translate insights into practical applications will be key to delivering meaningful outcomes.

What You Do

• AI & Machine Learning: support the development, testing, and enhancement of AI and machine learning models to address business and risk management challenges
• Quantitative Analytics: perform quantitative analysis and modelling to support risk measurement, monitoring, and business decision‑making
• Data Analytics: analyse large and complex datasets to identify trends, generate insights, and support strategic initiatives
• Business Use Case Evaluation: assist in evaluating AI and advanced analytics use cases to identify opportunities for business value creation and operational improvements
• Model Development & Testing: support model validation, performance assessment, and refinement activities to improve analytical outcomes
• Research & Innovation: conduct research on emerging AI, machine learning, and quantitative techniques relevant to financial services and risk management
• Stakeholder Collaboration: work with business, risk, and technology teams to support the implementation of analytical and AI‑driven solutions
• Ad‑hoc Projects: provide support on other analytics, modelling, and innovation initiatives as assigned

Who You Work With

Group Market Risk Management plays a critical role in supporting the bank's risk management framework and ensuring informed decision‑making across financial markets activities. Within the Analytics team, you'll work alongside quantitative analysts, data scientists, and risk professionals who use advanced analytics, modelling techniques, and emerging technologies to address business challenges and strengthen risk management practices. You'll gain valuable exposure to how data and AI are transforming the future of financial services.

Who You Are

• Open to learning and feedback
• Strong interest in artificial intelligence, machine learning, data science, and quantitative analytics
• Curious, analytical, and detail-oriented
• Strong problem‑solving and critical‑thinking skills
• Proficient in Python and familiar with data analysis techniques
• Understanding of machine learning and deep learning concepts
• Comfortable working with large datasets and analytical tools
• Familiarity with derivative pricing concepts would be advantageous
• Strong communication skills and ability to work well with others
• Currently pursuing an undergraduate or postgraduate degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related quantitative discipline

Learning Objectives

This internship will provide you with:

• Hands‑on experience in AI and machine learning model development within a banking environment
• Exposure to quantitative analytics and data‑driven decision‑making in risk management
• Opportunities to develop technical skills in Python, data analytics, and machine learning methodologies
• Experience evaluating and implementing real‑world AI use cases in financial services
• Insights into quantitative modelling and risk analytics within financial markets
• Exposure to collaboration across ris