Hybrid AVP: Credit Risk Data Scientist

OCBC Group; Singapore; Hybrid; SGD 120,000 - 180,000; Full time

Job summary

OCBC Group invites an AVP, Credit Risk Data Scientist to join its Credit Risk Modelling team in Singapore. You will develop, deploy and monitor machine learning models that assess credit risk across Consumer, Small Business and Wholesale portfolios.

You will collate large datasets, identify patterns, and translate insights into credit decisions and risk governance. The role requires 5–7 years’ experience in credit risk/analytical modelling and strong communication with senior stakeholders.

Qualifications

• Degree in a quantitative discipline such as data science, statistics, mathematics or computer science.
• 5–7 years of relevant experience in credit analysis/modelling or credit risk management.
• Experience with big data technologies and DevOps tools (Hadoop, Hive, Trino, Spark; Jira, Jenkins, Git).
• Proficiency with ML frameworks (Scikit-Learn, TensorFlow, PyTorch).
• Strong analytical, written and verbal communication skills; able to interact with senior management.
• Willing to take on new challenges in a fast-paced environment.

Responsibilities

• Develop, implement, and maintain ML credit risk models for Consumer, SME and Wholesale segments.
• Monitor, back-test and report model performance; detect weaknesses early.
• Define system parameters and configurations for models’ hosting platforms.
• Gain deep expertise in credit risk modelling methodologies and governance.
• Collaborate with validators, auditors, and stakeholders on model requirements.
• Translate model outputs into actionable credit decisions and strategic insights.

Skills

Big data

Machine learning

Python

SQL

DevOps

Jira

Git

Spark

Hadoop

Hive

Trino

TensorFlow

PyTorch

Scikit-Learn

Education

Quantitative degree

Tools

Hadoop

Hive

Trino

Spark

Job description

OCBC Group invites an AVP, Credit Risk Data Scientist to join its Credit Risk Modelling team in Singapore. You will develop, deploy and monitor machine learning models that assess credit risk across Consumer, Small Business and Wholesale portfolios.

You will collate large datasets, identify patterns, and translate insights into credit decisions and risk governance. The role requires 5–7 years’ experience in credit risk/analytical modelling and strong communication with senior stakeholders.