Data Scientist

Job Description

To plan, build, optimise and implement innovative quantitative analytical methodologies, procedures, products and advanced
mathematical models that provide analytical support and interpret insights, using advanced analytics technologies, to address business opportunities and problems and implement business strategy.

• Provide input into localisation of appropriate model building policies, standards, frameworks, and governance process and integration of business modelling and analytics value chain.
• Adhere to model building policies, standards, frameworks, and governance process.
• 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.
• Analyse information requirements, availability and quality of data to feed into management for resolution.
• Contribute to the development of core analytical capabilities or model libraries using advanced statistical, quantitative or econometric techniques and utilise as appropriate.
• Serve as SME for analytics applying own understanding of the operations of the business product or service.
• Build models that analyse processes to recommend areas for optimisation to achieve cost savings, revenue generation or efficiency improvements for the business.
• Document and audit relevant processes.
• Document and implement models to address specific business requirements.
• Conduct appropriate manipulation and analysis of data to pro-actively identify and meet needs of the business for the purpose of future work and to ensure high information-quality and reliability across the business.
• Apply own understanding of statistical techniques to determine approach to provide input required for decisions and design or evaluation of experiments.
• Apply technical concepts such as (Multivariable Calculus, Linear Algebra etc.) concepts to improve predictive performance or algorithm optimisation in data defined products.
• Utilise advanced Predictive modelling techniques to hold insight into outcomes and future events that confront key assumptions.
• Build and program own statistical model in statistical software for application development to productionize the model into a software application conducted by software developers.
• 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.
• Maintain ownership of models through regular audits and updates to ensure relevance.
• Plan and perform regular model updates that capture evolving business complexity in current models.
• Challenge current models to ensure relevance and accuracy of outputs.
• Test outputs and accuracy of models to ensure relevance.
• Validate, interpret and create reports and presentations for data analytics management and relevant stakeholders.
• 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.
• Build and sustain collaborative working relationships with relevant peers and stakeholders to achieve productivity synergies.
• Participate in specialist communities of practice and contribute positively to own and organisational knowledge improvement.
• 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.
• 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.
• Source and prepare relevant data sources for analysis.
• Translate business requirements into tangible models utilizing own understanding of the business value of projects, models and processes.
• Develop and apply 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.

Role Requirements:

• Relevant degree in Math's, Stats or similar
• General credit modelling experience OR acute interest in credit modelling with experience in credit risk (acquisitions, collections)
• IFRS9/provision/impairment understanding on Staging, Expected Credit Losses, etc.
• IFRS9 modelling experience / understanding (PD, EAD, LGD, SICR, FLI components)
• BASEL III / IV (capital) experience

General Requirements:

• 7 years' experience in Data with particular focus in credit risk being advantageous
• Ability to self-manage and own projects from start to finish
• Being able to lead a team on certain projects
• Engage with non-technical stakeholders on capital / provision concepts which are sometimes very technical

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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.

02/03/25

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.