Data Science Manager at FirstRand Group

Job Description
To implement the Analytics standards in allocated business units, that contribute to the monetisation of data through the
development and delivery of advanced mathematical models and business principles that find hidden patterns and associations in data used to influence business strategy, inform channel design and make predictions on the behaviour of clients.

• ​Innovate by finding the best fit solution for the situation such as the flexibility of delivery and customized solutions which result in more efficient outcomes.
• Develop and apply advanced statistical, quantitative or econometric algorithms and automation techniques to build, test and implement advanced mathematical models and analytical solutions that address business problem, opportunities and improve business outcomes i.e. reduced risk and costs, increased profitability, optimized efficiency and to facilitate strategic decision-making.
• Maintain ownership of models through regular audits and updates, challenge current models to capture evolving business complexity and ensure relevance and accuracy of outputs. Adhere to model building policies, standards, frameworks, and governance process. Understand and ensure implementation and adherence to Privacy business requirements, legislation and policy.
• Use data and analytic insights to provide input into improving customer experience through a better understanding of the customers context to identify monetization opportunities and monitoring implementation of business decisions to recommend enhancements.
• Conduct data visualisation to present data, findings and techniques to audiences, both technical and nontechnical in a pictorial or graphical format so it can be easily analyzed utilising principles of visually encoding data and communicating information.
• Collaborate with numerous departments across the business to aid them in the proper use of data to ensure delivery of desired operational results. Participate in relevant project related to the business overall analytical needs and opportunities. Build relationships that allow for the managing of expectations; the sharing of knowledge and diverse insights; and the creation of buy-in.
• Create delivery plans for achievement of outputs / deliverables in collaboration with business stakeholders to understand information requirements for strategy delivery and define metrics that track performance.
• Take all necessary actions to ensure compliance with relevant statutory, legislative, policy and governance requirements in area of accountability.
• Apply technical concepts to improve predictive performance or algorithm optimisation in data defined products.
• Review and assist more junior Quantitative Analysts with processes and models.
• Participate and contribute to a development culture where information regarding successes, issues, trends and ideas are actively shared.

Requirements:

• Strong Model Building experience required
• Sas or sasvia experience required
• Python, Pyspark or R experience is required
• PowerBI and teradata experience is required
• Leadership skills required
• 5-10 years' experience with at least 2 years in a leadership role