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Requirements: • A Quantitative Degree E.g. Statistic, Mathematics/ Computer Science • SAS , SQL, MS Office proficient Duties: • Conduct Data Analysis to transform large amounts of historical data into actionable insight. • Design experiments, test hypotheses, build models through the use of statistical, algorithmic and data mining techniques. • Use champion – challenger methodologies to improve operational efficiencies and collections processes. • Provide analytical support to in-divisional analysts whilst promoting and facilitating the use of data-driven solutions to business problems. • Assist with implementation, monitoring and support of analytical solutions developed internally or externally. • Produce clear and comprehensible reports and documentation to aid in effective business decision – making. • Maintain effective model risk management principles which encompass governance and control mechanisms such as appropriate oversight, policies, procedures and compliance. • Assist in implementing and maintaining an effective modeling environment. • Use base SAS and Microsoft SQL to extract data, program, set up functions, enter or process data. • Ensure the appropriate data foundation exists to produce business KPIs, reports and dashboards. Salary is Extremely Negotiable. Send CV to:

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