Our client is a strongly backed digital bank offering innovative banking products. They are looking for someone who is passionate about Credit Risk and Data Analytics to join their innovative team in paving the future for the bank's credit risk portfolio.
Generate credit metrics using the source data in S3 regularly and monitor the trend for credit observations
Drive the automation of Credit MI/Regulatory Returns from end-to-end, incl. defining business requirement, managing automation projects, performing testing and validation in UAT and PROD
Work independently with various stakeholders such as Product, Technology, Data Engineering, etc. to help the Bank build automated internal MI platform
Analyse diverse data required to develop risk strategies
Undertake credit and fraud risk strategy design and development on lending propositions, with focus on high quality, delivery within agreed timelines and alignment with approved credit policy
Ensure that risk strategies are accurately tested and implemented using analytical tools
Lead the effort on documentation and adhering to risk approval process related to risk strategy design and development
5 or more years of credit risk, credit policy, credit modelling, or credit strategy experience in banking
Proficient in data manipulation.
Experience in credit analysis and customer segmentation would be advantageous.
Reasonable understanding of local regulations relating to unsecured lending.
Strong analytical ability, with technical competency to deliver industry standard outputs
Strong interpersonal skills with the ability to engage and influence multiple stakeholders
Strong communication and presentation skills.
The role offers a collaborative working environment and a wide exposure to Credit Risk policies and strategies from an innovative and creative perspective.
If you have a strong passion for Credit Risk, Data Analytics and Banking, this role is perfect for you.
To apply online please click the 'Apply' button below. For a confidential discussion about this role please contact Sam Lin on +65 6416 9949.