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Job Description
Structured overview of role & requirementsAbout This Role
Construct and manage modelling databases for regulatory credit risk and IFRS9 provision models focusing on data quality.
Perform root-cause analysis, resolve team issues, review SOPs, and contribute to process enhancements.
Train analysts and handle simple case studies with minimal supervision, ensuring accuracy and productivity improvements.
Minimum Requirements
Experience in credit risk modelling including PD, LGD, CCF, and IFRS9.
Strong skills in SQL, and programming knowledge in SAS, Python, or PySpark.
Understanding of data analytics design and development, solution architecture, and client requirement gathering.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Technically proficient in credit risk model data management and analytics tools with hands-on operational experience.
Capable of independently managing data quality projects, driving process improvements and handling escalations.
Experienced in translating client requirements into data solutions and working within regulated model development environments.