Current Job Vacancies at WesBank

Job Description

To formulate and implement a segment agnostic scored capability to increase market penetration and ensure sustainable business growth.

To provide direction and ensure the achievement of service excellence in a high-volume environment.

• Develop a scored strategy aligned to business strategy to ensure business growth and sustainability.
• Establish a data-led sales capability that balances growth, risk and return to enable scalable scoring functionality.
• Increase market penetration across origination channels to strengthen the business' market position.
• Set and deliver targets in consultation with regions for sales service by identifying effective and efficient drivers.
• Align strategic objectives with specific performance measures and control systems to track and monitor progress.
• Establish, implement and maintain sound business processes that minimize risk and deliver quality and seamless customer experience.
• Optimize fulfilment processes and re-engineer as required to maximize the service delivery objectives and customer experience.
• Ensure optimized customer experience and service throughout the value chain.
• Source, analyze and implement market research findings and trends to develop innovative solutions to increase market penetration and ensure sustainability and future competitive growth.
• Cultivate and manage objective working relationships with a variety of internal and external stakeholders including channels of origination and enablers.
• Establish mutually beneficial relationships with stakeholders that support thought leadership, innovative and integrated practice solutions.
• Deliver exceptional service that exceeds customers’ expectations through proactive, innovative, and appropriate solutions.
• Maintenance of expert knowledge on relevant legislative amendments, industry best practices and provision of proactive advice and solutions to relevant stakeholders.
• Facilitate the conversion of knowledge and ideas into new or improved products, processes, and services.
• Manage designated product development projects from inception to final execution, including post implementation evaluation.
• Ensure integrated view and reporting of relevant business information.
• Report on and / or find solutions to items resulting from findings by internal or external audit and client management risk.
• Identify and encourage participation in activities that are appropriate for own and employee development in area of responsibility.
• Manage team or teams in areas of responsibility in delivery against performance targets and achievement of wider human capital objectives.

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Job Description

The Tender Manager co-ordinates and gathers information required for the compilation of tenders

Rrequired to identify the business units and stakeholders to be involved in each tender and co-ordinate and collate the necessary information from contributors

Expected to provide the technical information required for tender submissions including pricing details and may be required to use electronic media to identify tenders

Works together with FNB Public sector segment to lead the co-ordination and packaging our product house response on all public sector tenders

• Ensure development and continuous value add improvement to operational processes
• Delivers customer service through adherence to quality service standards
• Assists with preparing and submission of tenders
• Contribute to teamwork and inclusivity within own team
• Recommends the most competitive pricing for a tender

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Job Description

The Account Executive manages the relationship between the company and corporate clients The incumbent will be required to visit clients, resolve queries and manage the contract between the company and the client

• Ensures continuous process improvement to enable effective operational processes
• Ensures operational excellence through the delivery of work processes according to defined quality standards
• Contributes to teamwork
• Ensures customer excellence through interaction with internal and external customers throughout all business activities

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We design for the shapeshifters and deliver products and services that make us incredibly proud of the people that make it happen. We are creating a world class lending and credit risk capability, establishing the gold-standard through thought leadership and execution. As part of our credit community, you get to apply your skills to a diverse lending market, adapting and thriving while doing so. We strive to consistently develop better ways to partner with customers through lending, lifting society in doing so.

Role Purpose

Are you someone who:

• Has a passion for credit/statistical modelling.
• Solid model development experience as well as, monitoring and optimisation of existing models.
• Capital Impairment modelling of a credit risk product or portfolio.
• Strong knowledge of IFRS 9 and experience in Impairment modelling.
• Understands how to work with big data and transform data to be suited for modelling or other analytical insights.
• Interested in the relation between capital & provisions and financial reporting.
• Strong technically and strong coding proficiency (preferably SAS).
• Can work well under pressure.
• Able to translate business requirements into tangible, creative solutions with guidance.

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 take action.
• Obsessed with mastery – you know what it takes to become good at what you do and are constantly pushing yourself to achieve this.
• A team player – you believe in the power of teams, building and leveraging your networks.
• Emotionally intelligent – you are able to connect with people to build trust.

As a #Changeable you will have access to:

• Opportunities to network and collaborate.
• Opportunities to innovate.
• Flexible working environment
• Focus on health and wellbeing.
• Coaches and mentors to help with your professional development.
• A very generous leave policy to cater for your individual needs.
• Preferential employee banking rates that include Vehicle and Home loans

Qualifications and Experience

• Minimum Qualification: B Degree in Mathematical Sciences, Statistics, Actuarial Science
• Preferred Qualification: Honours Degree
• Experience: A minimum of 5 years' experience in a credit risk analytics environment.
• A minimum of 2 years Managerial work experience within Data Analytics

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Job Description

We are creating the best lending and credit risk capability in the world, establishing the gold-standard through thought leadership and execution. We achieve this in one of the most diverse lending markets in the world adapting and thriving while doing so.
This role forms part of the Scored Credit team. It is a key role enabling the Acquisitions, Portfolio Management, and the Scored Credit Decisioning capability on Platform/ Lend Architecture. The role reports to the Product House Scored Head of Credit and will work closely with the Acquisitions and Portfolio Management teams, IT/System Owners, CDAO and senior management.
This role is the link between Data Science/Analytics and IT/Systems with key focus being understanding and unpacking the decisioning rules within system and use this knowledge to guide on better, more efficient ways of implementing changes/new projects.
The role will also be the lead facilitating scoring decisioning onto new Platform architecture. New tools/model development and investigations/analytical unpacking also forms part of the role.

• 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.
• 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 localization 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 commercialization opportunities that have not been explored to address business needs and revenue options.
• Productionise 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 business overall analytical needs and opportunities Serve 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 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.
• 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.
• 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 optimization in data defined products.
• Implement machine learning mathematical algorithms and automation techniques using open-source programming languages such as SAS or Python libraries.
• Utilize advanced predictive modelling techniques to hold insight into outcomes and future events that confront key assumptions.
• Utilize data to model complex abstractions in machine learning research to enable deep learning.
• Utilize 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, utilizing appropriate methods and decide when approximations make sense.
• Conduct data visualization to present data, findings and techniques to audiences, both technical and nontechnical link pictorial or graphical format so it can be easily analyzed utilizing 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.

Knowledge Required

• FNB credit and lending products and channels
• Knowledge of the credit value chain
• Strong understanding of Data Analytics in a large financial services organisation 
• Understand both the technical points of Data Management and Analytics, as well as the business drivers and needs.
• Understand regulations and legislation which require information or data management and analytics capabilities, communities and understand the dependencies between people, technology and the processes of Data management and data insights

Experience

• 3-6 years’ experience in a similar environment

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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, using advanced analytics technologies, to address business opportunities and problems and implement business strategy.

• 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.
• 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 localization 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 commercialization opportunities that have not been explored to address business needs and revenue options.
• Productionise 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 business overall analytical needs and opportunities Serve 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 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.
• 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.
• 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 optimization in data defined products.
• Implement machine learning mathematical algorithms and automation techniques using open-source programming languages such as SAS or Python libraries.
• Utilize advanced predictive modelling techniques to hold insight into outcomes and future events that confront key assumptions.
• Utilize data to model complex abstractions in machine learning research to enable deep learning.
• Utilize 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, utilizing appropriate methods and decide when approximations make sense.
• Conduct data visualization to present data, findings and techniques to audiences, both technical and nontechnical link pictorial or graphical format so it can be easily analyzed utilizing 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.