Responsibilities

:
• Development and maintenance of next-generation credit risk models, leveraging data and machine learning to boost risk identification and differentiation
• Deployment and optimisation of end-to-end pipelines for machine learning models on production credit systems
• Drive and champion internal adoption of new data and analytical techniques across the different functional areas spanning the department

Qualifications :
• Good university degree in Mathematics, Statistics, Econometrics or Data Science.
• Experience in processing big data
• Proficiency in Python, machine learning frameworks, Hadoop and big data tools
• Direct experience in developing and/or validating credit risk models
• Strong written and verbal communication skills
• Ability to work well in a team as well as with internal stakeholders and external parties

WE REGRET THAT ONLY SHORTLISTED CANDIDATES WILL BE NOTIFIED.
Singapore

Salary Criteria