Business Segment: Personal & Private Banking
Assist to improve operational performance by identifying drivers of performance and building profitability, action-effect or propensity models. Undertake revenue leakage exercises, build profitability and response models, or perform initial and ongoing validations of credit risk models for the retail and wholesale areas of the bank. Assist in building and automating data sets that integrate multiple data sources in the development of customer treatment strategies or model validation.
Qualifications
Minimum Qualifications
- BSc Mathematical Sciences
Experience Required
- SAAS (advantageous)
- Collecting and analysing critical business data, transforming data and maintaining high levels of integrity in data management. Data sharing, sourcing data from third parties for validation purposes and as well as the service delivery of analysed critical data to business.
- Experience of programming in SQL, structured query language, and other common programming languages.
- Highly advanced computer skills.
- Understands business trends and the direction technology must take to support the business.
- Experience with and understanding of credit risk data and terminology. Understands PBB products and services, and basic business processes.
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