Senior Analyst, Quantitative

Lead Initiatives to improve operational performance by identifying drivers of performance and build profitability, action-effect or propensity models. Undertake revenue leakage exercises, building profitability and response models or performing initial and ongoing validations of credit risk models for the retail and wholesale areas of the bank. Oversee building and automating data sets that integrate multiple data sources in the development of customer treatment strategies or model validation.
Qualifications
Minimum Qualifications Type of Qualification: Post Graduate Degree
Field of Study: Information Studies
Type of Qualification: Post Graduate Degree
Field of Study: Mathematical Sciences

Experience Required Data Monetisation
Data & Analytics
8-10 years
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.

8-10 years
Experience of programming in SQL, structured query language, and other common programming languages. Highly advanced computer skills are required for this job. Understands business trends and the direction technology must take to support the business.

8-10 years
Experience with and understanding of credit risk data and terminology within Corporate and Investment Banking. Understands CIB, PBB and Africa Regions products and services, and basic business processes.

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