To Lead In Attracting, Developing and Retaining Superior Human Capital That Creates a Dramatic Business Advantage for Our Clients. OUR VISION The Vision is to remain as the reference point across Africa for proffering Human Resource Solutions.
Job overview:
- Provides balanced analytical research by turning raw data into valuable insights that help to drive the Bank’s actions and strategies.
- Interprets and analyses data from multiple sources to come up with imaginative solutions to problems.
Key responsibilities:
- Develop programming in R, SAS, SQL or similar analytical development tools
- Maintain knowledge in statistics, mathematics and/or comparable quantitative area of expertise
- Responsible for collaborating with analysts to facilitate the development and application of advanced analytic strategies and tactics
- Ascertain and apply strategies to identified business problems and existing organizational processes to provide leaders with insightful resources for decision-making and to increase sales, profit, market share, and achieve enterprise goals
- Establish parameters of ad hoc analyses by setting appropriate timeline and work quality guidelines
- Assist in the development of the problem definition and hypothesis formulation process as it relates to the specific business environment
- Conduct analyses, formulate insights, and summarize and synthesize findings for presentation to line of business management
- Develop timely, innovative, and objective analysis which leads to fact-based solutions for strategic business issues
- Maintain an understanding of general business trends and requirements for the major area of support, and understand the link between analysis and business impact
Requirements:
- Strong STEM background - Bachelor's degree as well as practical experiences in Machine Learning, NLP, Deep Learning (Tensor flow), Statistical Modelling, Quantitative Analysis, Forecasting, Data Visualization
- 2-6 years working experience as a data scientist or business data analyst, preferably in the financial industry
Method of Application
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