Job Opportunities at FNB South Africa

• The successful candidate will be empowered to think creatively and take ownership of their work. They will generate actionable insights and recommendations that influence changes across Retail. The role will include building of customer centric triggers, dreaming up journeys, actioning experiments, implementing findings and creation of convincing presentations.

You'll be an ideal candidate if you:

• Are never satisfied with the status quo.
• Produce innovative ideas and solutions based on data. Stating assumptions and overcoming challenges.
• Are self-driven and able to own their projects.
• Are able to collaborate effectively with different stakeholders.
• Have a growth mindset aimed at continuous learning and self-improvement.
• Are open-minded and enjoy problem solving.

Qualifications and Experience

• Minimum Qualification: B Degree in Mathematical Sciences, Statistics, Actuarial Science
• Preferred Qualification: Honours Degree
• A minimum of 3 years' relevant experience.
• Intermediate to advanced coding skills in SAS
• Intermediate knowledge on advanced analytical techniques e.g., statistical methods, segmentation, optimisation, experimental design
• Leadership experience will be advantageous.

You will have access to: 

• Opportunities to network and collaborate
• Challenging Working
• Opportunities to innovate
• We can be a match if you are: 
• Curious & courageous - you're driven by always wanting to know more and learn more and you're brave enough to
• Obsessed with mastery - you know what it takes to become good at what you do and are constantly pushing yourself to do it

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• As part of our team in as a Data Engineer where you will be surrounded by unique talents, diverse minds, and an adaptable environment that lives up to the promise of staying curious. Now’s the time to imagine your potential in a team where experts come together and ignite effective change.

Are you someone who can:

• Control expenditure and identify process improvements to contain and reduce costs.
• Conduct research on architectural systems·
• Develop, encourage and nurture collaborative relationships across area of specialization·
• Participate in planned activities that are appropriate for own development·
• Build working relationships across teams and functional lines to enhance work delivery, collaboration and innovation.
• Manage acquisition, consumption and deployment of data for operational use·
• Provide required support in designing and developing systems and solutions ·
• Contribute to business analysis processes·
• Manage data and system integration and testing.
• Conduct research on architectural systems ·
• Develop, encourage and nurture collaborative relationships across area of specialisation ·
• Participate in planned activities that are appropriate for own development ·

 You will be an ideal candidate if you have.

• Minimum Qualification - bachelor's degree in computer science, Engineering or Information Systems
• Experience - 5 to 7 years in Extract, Transform and Load (ETL) of data from source systems or experience in data integration for consumption use cases.
• Required – Microsoft stack SSIS, SSRS, Power BI, SQL Server
• Advantageous – SSAS

Additional Requirements

• Design (possibly with assistance of Data Architecture) and implement Data Mart within the bank standard warehouse.
• Create all required ETLs.
• Building Data Mart
• Ensure we are ready to integrate to other source systems.  Ensure that we can consume data from Master sources and that other Capabilities can consume data from us.
• Assist Developers when we need to integrate to these sources.
• Implement measures to ensure Data Quality by means of Data Cleansing etc.
• Build End-to-End Data Visualization / Dashboards for all Process Stakeholders.
• Utilise SSIS / SSRS where required.
• Create SQL Queries / Provide ad-hoc reporting when required
• Collaborate with other areas to ensure the environment complies to Bank Data Governance

Skills Required for the role:

• SQL Server Reporting Services (SSRS)
• SQL Server Integration Services (SSIS)
• SQL Server Analysis Services (SSAS)
• Extract, Transform, Load (ETL)
• Teradata
• SQL
• Hadoop
• Computer Science
• Databases
• Business Intelligence (BI)
   

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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 to 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.
• Findings, Complaints, Incidents, Investigations and Privacy and Protection Assessments.
• 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 for 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 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.
• Provide requirements to Business Information.
• Management Function as Supplier or Owner of Data to ensure data is prepared for consumption as an organizational asset.
• 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, finds 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 Finacial Services
• Hons Degree in (Mathematics / Engineering / Actuarial Science)
   

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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, to address business opportunities and problems and implement business strategy, with minimal guidance.

Your responsibilities will include, but are not limited to:

•  To undertake predictive modelling and the design of data products within FNB commercial/SFS analytics which either drive innovation or add value by a) reducing risk b) increasing sales/cross-selling/revenue/profits c) improve efficiency d) retaining existing customers or e) a combination of the above. Examples include clustering/hyper segmentation, propensity modelling, attrition modelling, data-driven insights that include channel behavior, preferred payment mechanism, attrition unpacking, ideal customer behavior, etc.
•  Be heavily involved in the design of solutions for problems faced by stakeholders in FNB commercial/SFS, i.e. performing initial investigations into the problem and proposing a solution, building a business case for potential solutions, be heavily involved in POCs including A/B testing, etc. Also work closely with stakeholders to ensure the correct solution is designed and implemented.
•  Assist with ad-hoc queries for stakeholders regarding existing solutions, newly implemented solutions or completely new solutions.
•  Drive implementation of solutions on platform/production environments.
•  Build/ guide other team members to build PowerBI reports that display valuable insights and trends.
•  Managing relationships with senior stakeholders.
•  Participate in code and peer reviews.​

You will be working on many types of products including:

• Commercial Overdrafts
• Invoice Discounting
• Leverage Finance
• Guarantees
• Letters of Credit

Requirements

• 3-5 Years experience in a Data Science Role
• Good understanding of Financial Services: Credit products and credit scoring

Qualification

• Post Graduate Degree in Mathematics / Statistics / Business Mathematics and Informatics
   

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Job Description

• To drive business change that delivers value through the structured implementation and delivery of projects against time, resource, money and scope constraints
• Manage the project resources (including people, procurement, systems, time and budget) from the initiation of an identified project to the end of the defined project lifecycle or process in order to deliver on project goals and objectives
• Continuously develop own expertise in terms of industry and subject matter development and application thereof in an area of specialization
• Maintain and build relationships for purposes of expectation management and project reporting
• Focus on providing optimal services and improving service delivery processes to meet or exceed customer expectations
• Lead indirect teams by providing a meaningful context, setting performance standards and educating on process
• Manage the quality of delivery in line with predefined quality standards, procedures, SLA’s and project plans to ensure customer goal achievement
• Implement and use governance and compliance procedures and processes effectively to identify and manage risks
• Contribute to the development of project budgets, control and report on budgeted resources to meet the project objectives
• Assist with the creation of change management plans and implement these to maximise the adoption and/or usage and minimise resistance
• Compile and maintain relevant project documentation in accordance with agreed project procedures and methodologies to effectively support project delivery as well as comply with audit requirements