To apply, click on the link at the end of the posts and all the best with your applications.

Senior Data Scientist

Job Description

To plan, build, optimise and implement innovative pricing and 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.

• 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.
• 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.
• Ensure own 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 escalate appropriately for resolution of Privacy and Protection Audit Findings, Complaints, Incidents, Investigations and Privacy and Protection Assessments.
• 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 available data to identify information commercialisation opportunities that have not been explored to address business needs and revenue options.
• Productionize analytics 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 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.
• 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.
• 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 concetps such as (Multivariable Calculus, Linear Algebra etc.) concepts to improve predictive performance or algorithm optimisation in data defined products.
• Implement Machine learning mathematical algorithms and automation techniques using open-source programming languages such as SAS or Python libraries.
• Utilise advanced Predictive modelling techniques to hold insight into outcomes and future events thatmconfront key assumptions.
• Utilise data to model complex abstractions in machine learning research to enable deep learning.
• Utilise pattern recognition technology to recognizes patterns in data and the criteria for use interchangeably with machine learning technology.
• 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 Text analytics to examine unstructured data to glean key business insights.
• Understand principles of Data Wrangling to identify and recommend corrective actions for imperfections in data quality.
• Participate in enterprise-wide high level problem resolution by interacting with relevant engineers and product managers, utilising appropriate methods and decide when approximations make sense.
• 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.
• 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 utilizing statistical modelling and data analysis.
• 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.
• Contribute to the development of a budget aligned to operational delivery plans, monitor effectiveness and report on variances.
• 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.
• Determine the business questions that need be answered and determine appropriate analytics models for utilization.
• 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.

Additional Requirements

• 5 + years’ experience within a Data Scientist Role with particular focus in data analytics or modelling.
• Good understanding of Credit Life Cycle
• Previous experience within a Pricing or Capital team would be advantageous
• Post Graduate Degree with (Statistics, Actuarial Science, Engineering) or any Similar Degree
• Good presentation and Stakeholder Engagement / Managment

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.

Click here to apply

Data Engineer II

Job Description

To ensure effective movement, collection, integration, storage, and provisioning of data to meet business objectives through sound understanding of business unit requirements and frequent collaboration with relevant stakeholders (such as Enterprise Architecture, Database and Solution Architects, Business Intelligence Developers, Data Scientists and Product Owners, etc.)

Hello, Future Data Engineer II

Welcome to FNB, the home of the #changeables. Now’s the time to imagine your potential in a team where experts come together and ignite effective change.
 

Role purpose:

We’re on the lookout for a talented Data Engineer to join our team and revolutionize how we redesign and rebuild the data platforms in line with the banks data journey. As a Data Engineer in FNB Connect, you’ll find yourself at the cutting edge of data transformations in one of the most exciting and growing areas in the Bank! Your insights will shape our decision-making process, drive growth, and propel us ahead of the competition. From sim cards to Iphones, smart devices and platform solutions, the data and opportunities in FNB Connect are yours to champion.

Are you someone who is:

Passionate about leveraging Data to drive innovation in the Telecommunications industry
Thrive in a dynamic, startup work environment.
Ready to radically grow your career and skills in a multi-disciplinary team environment

What you’ll do:

Design and build data solutions
Develop data products to be monetised and made available to operational processes
Spearhead data projects that drive insights and business value.

What we are looking for:

Qualifications: A relevant Degree in Information Technology, Computer Science, Data Sciences, Statistics or Engineering.
Experience: Have a minimum of 2 – 4 years’ relevant experience in Data Engineering and Analytics with proven ability to develop and implement data solutions.
Strong level of proficiency in programming languages such as SSIS, Ab Initio, Hadoop, Teradata, SQL, Control-M, Production Insights, Python, PySpark and Scala.
Strong analytical skills with problem solving techniques and attention to detail
Has relevant experience and/or have a keen interest in exploring artificial intelligence and machine learning techniques.
A knack for translating complex data into actionable business recommendations.
Passion for innovation and a hunger to drive positive change in the Telecommunications industry.

Join us on our journey to transform the Telecommunications banking industry in South Africa and beyond! If you’re ready to make an impact and unleash your full potential, apply now and be part of something extraordinary!

#Post
#FNB
#LI-AR2

Click here to apply

Data Scientist II (Fixed Term Contract for 18 Months)

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.

Hello, Future Data Scientist II

Welcome to FNB, the home of the #changeables. We design for the shapeshifters and deliver products and services that make us incredibly proud of people that make it happen.

As part of our talent team, 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:

• Take all necessary actions to ensure compliance with relevant statutory, legislative, policy and governance requirements in area of accountability, across various countries
• Ensure implementation of relevant policies, governance and practice standards across the business and different countries
• Maintain an understanding on relevant legislative amendments, industry best practices and 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 specialisation and identify risks.
• Innovate by finding the best fit solution for the situation such as the flexibility of delivery and customised solutions which result in more efficient outcomes.
• Manage various priorities at the same time and ensuring quality delivery and adherence to timelines
• Have experience in elements around pricing, including revenue leakage
• Ability to incorporate and deliver on strategic requirements, incorporating different realities across the portfolio
• Experience in analysing and providing relevant insight to drive strategic direction of the business
• 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.
• Identify and implement efficiencies around modeling and the end-to-end pricing elements
• Test outputs and accuracy of outputs to ensure relevance.
• Use data and analytic insights to provide input into improving customer experience through a better understanding of the customers context to identify monetisation opportunities and monitoring implementation of business decisions to recommend enhancements utilising statistical modelling and data analysis.
• 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.
• Adhere to model building policies, standards, frameworks, and governance process.
• Ensure own 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 escalate appropriately for resolution of Privacy and Protection Audit, Findings, Complaints, Incidents, Investigations and Privacy and Protection Assessments.
• Take ownership of and ensure ongoing communication and visibility of progress and sharing of information
• Assist in productionilisation of analytics 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 management for resolution.
• Participate in relevant project related to the businesses overall analytical needs and opportunities.
• Assist as SME for analytics applying own understanding of the operations of the business product or service.
• Determine the business questions that need be answered and determine appropriate analytics models for utilization.
• 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 robust 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.
• 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.
• Deliver within broad parameters.
• 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.
• Identify, control and escalate potential risks.
• Develop, encourage and nurture collaborative relationships across the FRG.
• Assess own performance through seeking timely, and clear feedback and request training where appropriate.

You will be an ideal candidate if you have:

• Bachelor of Science: Mathemics
• 4 years in a pricing role with experience in banking a benefit
• Extensive SAS, SQL and Excel experience
• Powerpoint presentations preferred

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 are driven by always wanting to know more and learn more and you are 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.

Are you interested to take the step? We look forward to engaging with you further. Apply now!

#POST

#FNB

#LI-SY1

Click here to apply

Data Steward

Job Description

Hello Future Data Steward

Welcome to FNB, the home of the #changeables. We design for the shapeshifters and deliver products and services that make us incredibly proud of people that make it happen.

As part of our talent team, 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.

To implement the tactical plans and business processes required to create, maintain, and enhance data, be responsible for the daily management of a critical data asset within area of responsibility and provide guidance to an allocated data set and actively manage data in order to meet compliance requirements, align data to business priorities, continuously improve data quality, reduce cost of data management, and to increase confidence in data and information integrity.

Are you someone who can:

• Comply with data policies, standards, tools and best practices within the data domain of responsibility.
• Apply domain-level data architecture and data management best practices to area of responsibility.
• Assist with compliance with internal policy, regulatory requirements and data practice standards.
• Interacts and builds relationships with internal and external stakeholders to ensure compliance with statutory requirements.
• Document business term definitions.
• Maintain metadata, data quality rules, Enterprise Data Model (EDM), reference data, records register, where applicable.
• Respond to data queries e.g. data quality issues as defined by the data quality issue resolution process.
• Perform root cause analysis to resolve data quality issues and implement solutions accordingly.
• Provide input into information management metrics.
• Provide input into accurate and reliable reporting together with analyzing trends and data used to improve business decisions.
• Provide input into accurate and reliable reporting in line with business, compliance and governance requirements.
• Accumulate information to review work progress that provides input to reporting, decision making and the identification of improvement opportunities.
• Define information management requirements (e.g. data cleansing and data quality, etc.) and drive the implementation of the requirements within area of responsibility).
• Participate in data related projects and provide required domain level expertise.
• Align data activities to targeted projects for remediation and drive activities accordingly.
• Participate in activities of the Segment implementation roadmap for the information management function.
• Participate in the maturity roadmap for relevant Business Unit aligned to implementation roadmap and provide inputs for roadmap assessment.
• Consult in matters of data workflows, master data security, and access rights for area of responsibility.
• Promote best practices and make recommendations to business users that will create efficiencies and ensure data integrity for area of responsibility.
• Identify possible solutions to support business requirements and partners with stakeholders to develop an optimum solution.

You will be an ideal candidate if you have:

• Minimum Qualification: Minimum Qualification  Bachelor’s degree in computer science, Information Systems, or related field
• Experience:  3years of experience in data management, data analysis or data governance preferred.
• PowerBi
• Python
• SQL query
• Power query

       You will have access to:

• Opportunities to network and collaborate.
• Challenging work environment.
• 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.
• Obsessed with mastery – you know what it takes to become good at what you do and are constantly pushing yourself to do it.

Are you interested to take the step? We look forward to engaging with you further. Apply now!

#post 
#fnb
#LI-GS1

Click here to apply

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

• 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 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 specialisation and identify risks.
• Innovate by finding the best fit solution for the situation such as the flexibility of delivery and customised solutions which result in more efficient outcomes.
• 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.
• Use data and analytic insights to provide input into improving customer experience through a better understanding of the customers context to identify monetisation opportunities and monitoring implementation of business decisions to recommend enhancements utilising statistical modelling and data analysis.
• 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.
• Adhere to model building policies, standards, frameworks, and governance process.
• Ensure own 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 escalate appropriately for resolution of Privacy and Protection Audit, Findings, Complaints, Incidents, Investigations and Privacy and Protection Assessments.
• Provide input into creation of 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.
• Assist in analysis of available data to identify information commercialization opportunities that have not been explored to address business needs and revenue options.
• Assist in productionilisation of analytics 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 management for resolution.
• Contribute to the development of core analytical capabilities or model libraries using advanced statistical, quantitative or econometric techniques and utilize as appropriate.
• 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 businesses overall analytical needs and opportunities.
• Assist as SME for analytics applying own understanding of the operations of the business product or service.
• Determine the business questions that need be answered and determine appropriate analytics models for utilization.
• Source and do some preparation (20-30%) of 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 robust 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.
• Build models that analyze processes to recommend areas for optimization 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.
• Deliver within broad parameters.
• 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.
• Identify, control and escalate potential risks which may lead to increased costs.
• Manage costs or expenses within approved budget to achieve cost efficiencies.
• Deliver against operational and cost targets.
• Prioritise resource allocation to minimise and reduce wastage.
• Develop, encourage and nurture collaborative relationships across the FRG.
• Assess own performance through seeking timely, and clear feedback and request training where appropriate.

• Enthusiastically leveraging their expertise in Credit Acquisition and credit/statistical modeling.
• Overseeing the development, monitoring, and maintenance of the acquisition models.
• Demonstrating proficiency in handling large datasets and transforming data for modeling or gaining analytical insights.
• Displaying advanced technical skills and coding proficiency, with a preference for SAS and Python.
• Excelling in a high-pressure, fast-paced work environment.
• Translating business requirements into innovative, tangible solutions under guidance.
• Effectively managing stakeholders through strong communication and an ability to meet their expectations.
• Working closely with the wider credit analytics team and community
• Identifying business opportunities and solving problems through data modeling and analysis.
• Streamlining processes by automating and scheduling code, thereby improving efficiency and saving time.

Proficiency in

• Advanced Excel, PowerBI, SAS, Python or R, SQL-Server (preferably SAS and Python)
• 3-5 Years

Qualifications

• BCom Hons, BSc Hons Statistics, Mathematics, Actuarial Science or Math’s-related degrees

Click here to apply

Data Science Manager

Job Description

As a Data Science Manager, you will bridge the gap between non-technical and technical audiences, translating strategic goals into actionable analytics work items. The role is responsible for leading a team, build and govern the application and implementation of analytics and data products to drive and influence business strategy, enable the business to manage risk, identify opportunities, develop products, optimise channels and payment rails and analyse and optimising processes through data science, statistical modelling, prescriptive analytics and business partnering. 

Hello, future Data Science Manager

We are seeking an experienced Data Science Manager to support the FNB Retail Data and Analytics Office with a focus on the Personal Segment. You’ll support the business through the development of predictive and prescriptive analytics to drive More to Customers. This is achieved through partnering with business, translating business strategy into analytical artifacts and identifying analytical opportunities and drive these within business. Beyond individual contributions, you’ll play a vital role in managing and mentoring Data scientists, guiding them through advanced analytics techniques and fostering their growth within our dynamic team. If you’re passionate about leveraging data to drive customer-centric strategies and eager to drive business value through analytics we want to hear from you.

Are you someone who:

• Loves driving real world business value
• Has a strong focus on stakeholders and partnering with business
• Has end to end model development experience as well as, appreciation for statistics and able to translate models, insights and optimisation into business value.
• Has experience with disparate data and identifying unique data patterns for deep analysis and feature creation.
• Understands how to work with big data and transform data to be suited for analytical insights.
• Has strong technical skills with strong coding proficiency in SAS, SAS Viya or Python.
• Hard working individual that can work well under pressure.
• Able to translate business requirements into tangible, creative solutions.
• Has A/B Testing methodology background to measure uplift and improve KPIs.
• Abstraction of and translating business problems into analytical products and insights, delivering through a team of data scientists
• An intuitive feel for analytical accuracy and real-world translation.
• Adheres to advance analytics protocols
• Like to grow and support data science in their career progression
• Produce innovative ideas and solutions based on data, stating assumptions and overcoming challenges.
• Self-driven and able to own their space.
• Have a growth mindset aimed at continuous learning and self-improvement.
• Open-minded and enjoy problem solving.

We can be a match if you are:

• In-depth knowledge/experience in predictive and prescriptive analytics as well as statistical analysis.
• Passion for driving business value.
• Understanding of both the technical points of Data science, as well as key business drivers. 
• Portfolio management
• The ability to be highly effective at providing strategic direction on the functional interpretation (and articulation) of knowledge through application of data insights and analytics to enable sales growth
• Strong stakeholder management skills including effective communication and management of stakeholder expectations including executives
• Mentoring of junior and intermediate Data scientists on technical and statistical principles.
• A team player – you believe in the power of teams, building and leveraging your networks.
• Emotionally intelligent – you can connect with people to build trust.

Qualifications and Experience

• Minimum Qualification: Bachelor’s degree in Mathematical sciences, Statistics, Data Science or Actuarial Science
• Preferred Qualification: Honours Degree
• Experience: A minimum of 5 – 7 years’ relevant experience within Analytics or Data Science of which 2 years in a Senior data science role
• End to end Model development experience (predictive and prescriptive analytics)
• Decision science, optimisation and testing methodologies
• Strong coding proficiency in SAS, SAS Viya or Python
• Able to work with Big Data; Teradata (advantageous)
• Strong stakeholder management experience

#Post
#FNB
#LI-AR2

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.11/09/25

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.

Click here to apply

Business Intelligence Analyst

Job Description

To understand the business environment and requirements in order to analyze data and provide relevant analytical and quantitative insights to business for operational, tactical and strategic decisioning.

• Provide support and input into tactical business strategies and execute on relevant business intelligence (BI) projects / BI
  initiatives aligned to strategic objectives with specific performance measures and control systems to track progress.
• Drive business profitability in the context of cost management through effective delivery of Business Intelligence solutions
  (time management and cost).
• Integrate data assets (i.e. outcomes from data science and, data and analytics teams) to business.
• Ensure ongoing efficiencies driven by a culture of sharing “build once and build for all” as well as leveraging tools built by
  other D&A teams via consumption or enhancements prior to new builds on D&A outcomes.
• Extract data from various sources for the purposes of data profiling in order to create the technical BI requirements (e.g.
  source to target).
• Resolve queries as and when required (medium to complex data extracts).
• Liaise with Business Analyst and relevant stakeholders to produce BI business requirement (BRS) documentation and submit
  to relevant stakeholders for sign off.
• Provide business summaries to enable more effective strategic, tactical, and operational insights and decision-making.
• Analyse derived information to create value added knowledge of the bank’s products, channels, service levels, trends, or
  customers for business and operational informed decisions.
• Liaise with relevant stakeholders to provide input into assigned projects, in line with business requirements within the required
  timeframe and specification.
• Involvement in new projects, design, define and document the Business Intelligence solutions in line with business
  requirements and service ad-hoc requests for information from clients within the required timeframe and specification.
• Provide support in setting the intellectual agenda for the team (in consultation with the necessary stakeholders) and creating
  conceptual frameworks across multiple projects.
• Share knowledge and ideas into new or improved data product for the Business Intelligence environment.
• Provide expertise to relevant stakeholders in area of specialization.
• Maintain BI repository

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.

Click here to apply

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

• 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 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 specialisation and identify risks.
• Innovate by finding the best fit solution for the situation such as the flexibility of delivery and customised solutions which result in more efficient outcomes.
• 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.
• Use data and analytic insights to provide input into improving customer experience through a better understanding of the customers context to identify monetisation opportunities and monitoring implementation of business decisions to recommend enhancements utilising statistical modelling and data analysis.
• 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.
• Adhere to model building policies, standards, frameworks, and governance process.
• Ensure own 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 escalate appropriately for resolution of Privacy and Protection Audit, Findings, Complaints, Incidents, Investigations and Privacy and Protection Assessments.
• Provide input into creation of 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.
• Assist in analysis of available data to identify information commercialization opportunities that have not been explored to address business needs and revenue options.
• Assist in productionilisation of analytics 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 management for resolution.
• Contribute to the development of core analytical capabilities or model libraries using advanced statistical, quantitative or econometric techniques and utilize as appropriate.
• 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 businesses overall analytical needs and opportunities.
• Assist as SME for analytics applying own understanding of the operations of the business product or service.
• Determine the business questions that need be answered and determine appropriate analytics models for utilization.
• Source and do some preparation (20-30%) of 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 robust 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.
• Build models that analyze processes to recommend areas for optimization 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.
• Deliver within broad parameters.
• 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.
• Identify, control and escalate potential risks which may lead to increased costs.
• Manage costs or expenses within approved budget to achieve cost efficiencies.
• Deliver against operational and cost targets.
• Prioritise resource allocation to minimise and reduce wastage.
• Develop, encourage and nurture collaborative relationships across the FRG.
• Assess own performance through seeking timely, and clear feedback and request training where appropriate.

Core technical skill

• Good SAS skills ability to extract, manipulate and analyse large datasets portfolio monitoring
• Excel advanced excel skills, pivots tables, nested formulas, data visualisation 
• Power Bi: comfortable creating dashboard 
• 3-5 years’ experience in a Data Science Role
• Qualification – Stats, Math’s, Engineering, Data science, BMI, Economics

Analytical thinking

• Able to interpret credit scorecard outputs, SAS outputs etc. (not model development***)
• Familiar with basic credit risk concepts (Scorecard, NPL, Approvals, referrals , Defaults)
• Basic Agriculture knowledge (advantageous )

Soft Skills

• Proactive , curious, and able to ask probing questions
• Can deal with various stakeholders and manage emotions
• Able to summarise findings to non-technical people also Exco members

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.

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Database Administrator

Job Description

To design, test, implement, maintain and control relevant databases to ensure accurate installation and configuration of database and software to maintain a client centric and secure database environment.

• Build working relationships across teams and functional lines to enhance work delivery, collaboration and innovation.
• Provide resolution of database conflicts to align to quality standards and eliminate inappropriate data usage.
• Support the building of a scalable and resilient database system to mitigate disaster and performance risks.
• Design and create relational databases; scripts for standard and non-standard database access and provide database administrative support; replication processes and maintenance.
• Develop, encourage and nurture collaborative relationships across the FRG.
• Assess own performance through seeking timely and clear feedback and request training where appropriate.
• Compile reports that track progress and guide business to make informed decisions.
• Ensure compliance to legislative and audit requirements and adherence to relevant processes.
• Focus on providing optimal services and improving service delivery processes to meet or exceed customer expectations.
• Prevent wastage and identify process improvements to contain and reduce costs.

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Data Modeller-1

Job Description

Hello future Data Modeller

Welcome to FNB, the home of the #changeables. We design for the shapeshifters and deliver products and services that make us incredibly proud of people that make it happen

As part of our iDNA Team, 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

• Execute on data modelling standards, principles, frameworks and tools
• Coordinate and prioritise the data modelling work within the Business area
• Involved in the entire data modelling lifecycle i.e. Logical to Implemented Physical Model and Semantic Model
• Understand the reference and master data requirements and co-ordinate the use of surrogate keys and enterprise code values when building out data products with relevant stakeholders
• Provide input into key metrics related to measuring the progress with respect to data modelling
• Optimise and update logical and physical data models to support new and existing projects for Business area
• Ensure that the source to target mapping is done in accordance to the requirement
• Maintain all extract, transform, load (ETL) and business rules within the data model
• Maintain all model related metadata
• Recommend opportunities for reuse of data models in new environments
• Review modifications to existing data modeling software to improve efficiency and performance
• Evaluate data models and physical databases for variances and discrepancies
• Ensure modelling standards and principles are always adhered to
• Develop modelling standards and principles as needed

You will be an ideal candidate if you have experience in

• Knowledge of logical data modelling, and use of industry data models (e.g.IBM, Teradata, etc.).
• Understanding of the Inmon methodology
• Experience working in data warehousing environment with good understanding of data ingestion, enterprise alignment (ETL) and design based on consumption requirements
• Knowledge of dimensional data modelling using Kimball methodology
• Experience using data modelling technologies such as Erwin.
• Developing data models in a banking environment. Understanding and experience in implementing data management domains and technologies (e.g. data modelling, metadata management, data quality and profiling, information architecture, etc.).
• Experience in networking and team collaboration, communication, and presentation.

Experience

• 4-5 years experience in a data environment with hands-on relational, dimensional, and/or analytic experience (using relational database management systems (RDBMS), dimensional, NoSQL data platform technologies, and extract, transform, load (ETL) and data ingestion protocols). Experience with data warehouse, data lake, lake house and enterprise big data platforms in multi-data-center contexts required

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We wish you all the best with your applications