Time left to apply: End Date: November 14, 2024 (5 days left to apply)
Job requisition ID: R20211
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.
- Ensure adoption and localization of appropriate model building policies, standards, frameworks, and governance process and integration of business modelling and analytics value chain.
- Establish goals and strategies for area of accountability in collaboration with senior data analytics management.
- Ensure ethical usage of information that complies with restrictions applied for privacy and sensitivity classification.
- Understand and ensure implementation and adherence to Privacy business requirements, legislation and policy.
- Ensure reporting of any Information Privacy Incidents and drive resolution of Privacy and Protection Audit.
- Provide and use data and analytic insights to improve customer experience through a better understanding of the customers context to identify monetization opportunities.
- Manage analytics team in the creation of high-quality analyses for all functions of the business, across area of accountability.
- Create tactical plans for achievement of outputs / deliverables in collaboration with business stakeholders to understand information requirements for strategy delivery and define metrics that track performance.
- Drive team performance of analytics solutions; drive and enhance data systems and streamline business processes to impact overall business results while keeping costs in check.
- Analyse available data to identify information commercialization opportunities that have not been explored to address business needs and revenue options.
- Ensure analytics productionization in the approved FirstRand architecture by translating technical data information into practical business information that addresses identified needs.
- Analyse information requirements, availability and quality of data to feed into Data and information management function and forums for resolution.
- Oversee the appropriate manipulation and analysis of data to meet needs of the business for the purpose of future work and to ensure high information-quality and reliability across the business.
- Integrate analytics into operational processes to improve efficiency and client experience.
- Ensure development of core analytical capabilities or model libraries using advanced statistical, quantitative or econometric techniques.
- Manage overall project dependencies management and long-term prioritization of the business's overall analytical needs and opportunities.
- Serve as SME for analytics applying own understanding of the operations of the business product or service.
- Define the business questions for Business unit that need to be answered; define appropriate analytics models in addition to identifying and readying relevant data sources for analysis.
- Address business problems and opportunities through robust underlying analytics.
- Translate business requirements into tangible solutions or models utilizing own understanding of business value and interrelated nature of projects, models and processes.
- Ensure accurate development and application of analytical algorithms and methods 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.
- Create team tactical plans for achievement of outputs or deliverables in collaboration with Technology stakeholders to ensure the effective implementation of analytical solutions and models to support business requirements.
- Ensure governance and compliance rules are followed in application and implementation of predictive models to enable the business to manage risk.
- Maintain ownership and oversee the implementation of models.
- Monitor output and accuracy of models.
- Ensure the documentation and auditing of relevant models, projects and processes.
- Provide input into business strategies through data analysis that proactively improve efficiency, identify risks, save costs and drive innovation.
- Lead business through efforts that drive business performance and potential by using the existent and new data sources and techniques.
- Enable business unit to understand its own health, find growth levers, and identify opportunities for optimization.
- Create new data-driven approaches for the purpose of generating business insights through data analytics, information visualization and addressing unanswered business issues in a proactive manner.
- Ensure validation and interpretation of analytical results and creation of reports and presentations for data analytics management, departmental heads/management, and relevant stakeholders.
- Collaborate with numerous departments across the business to assist in the proper use of data that ensure delivery of desired operational results.
- Model and drive a data-driven culture that values data as an asset with business value.
- Lead relevant change and communications functions to drive functional maturity.
- Manage people by executing management responsibilities and create an environment that encourages employee growth and performance excellence.
- Prevent wastage and identify process improvements to contain and reduce costs.
- Take all necessary actions to ensure compliance with relevant statutory, legislative, policy and governance requirements in area of accountability.
- Ensure implementation of relevant policies, governance and practice standards across the business.
- Maintain expert knowledge on relevant legislative amendments, industry best practices and business's internal compliance procedures and requirements.
- Ensure compliance is adopted in terms of systems and procedures as laid out by business.
- Implement and provide input into the development of governance and compliance procedures and processes within area of specialization and identify risks.
- Build relationships that allow for the managing of expectations; the sharing of knowledge and diverse insights; and the creation of buy-in.
- Engage in cross-functional relationships to obtain and to provide work support.
Requirements
- 5-8 years' experience in a Data Science role with 1-2 years managing a team.
- Good understanding of the credit life cycle.
- Previous experience in Financial Services.
- Hons Degree in (Mathematics / Engineering / Actuarial Science).
Job Details
Take note that applications will not be accepted on the below date and onwards, kindly submit applications ahead of the closing date indicated below.
14/11/24
All appointments will be made in line with FirstRand Group’s Employment Equity plan. The Bank supports the recruitment and advancement of individuals with disabilities. In order for us to fulfill this purpose, candidates can disclose their disability information on a voluntary basis. The Bank will keep this information confidential unless we are required by law to disclose this information to other parties.
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Serving retail and commercial customers, FNB is so much more than a bank, offering life and short-term insurance, innovative savings and investment products, and a digital universe of solutions that help customers navigate challenges and opportunities of everyday life. It has a market-leading app and a globally recognised rewards system in eBucks. FNB has won multiple awards, including the Strongest Banking Brand in the World in the Brand Finance Banking 500 2023 report. FNB represents multiple opportunities for you to build an exciting and rewarding career. Especially if you want to change people’s lives, in an authentic, profound and sustainable way.
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