Credit Risk Data Scientist, Risk Portfolio Managem...

Company:
Location: Singapore

*** Mention DataYoshi when applying ***

Job Description :
Description
The candidate will join OCBC Bank's Risk Portfolio Management team and be part of a dynamic squad driving the use of data science for credit risk quantification, portfolio optimisation, risk reporting and disclosure.
Roles and Responsibilities
The candidate will collaborate with stakeholders across the Bank to deliver data science-enabled solutions for the credit risk domain, including:
Employing advanced analytics and data visualisation to support credit portfolio management and business needs
Building predictive models using machine learning to facilitate credit decisioning and early warning
Deploying, monitoring and maintaining the models on production credit systems
Constructing data pipelines to integrate new data feeds
Advancing the discussion on governance and assurance regarding the use of artificial intelligence and machine learning in models
  • LI-MLIU Qualifications
Requirements
Be an enthusiastic team player who can figure it out, get stuff done and have fun
Bachelor's degree in Mathematics, Computer Science or an equivalent quantitative area
At least 3+ years of experience in data science, machine learning and deploying/maintaining models in production
Proficiency in Python, machine learning frameworks, HiveQL, Apache Spark and Linux/Unix environments
Working knowledge of Git, CI/CD/CT pipelines and MLOps
Experience in banking or retail credit a plus

Job Description :
Description
The candidate will join OCBC Bank's Risk Portfolio Management team and be part of a dynamic squad driving the use of data science for credit risk quantification, portfolio optimisation, risk reporting and disclosure.
Ro

*** Mention DataYoshi when applying ***

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