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06-Nov-2024 20-Dec-2024 Print
Permanent position in the Senior Management sector/job category.
MINIMUM EDUCATION
Honours Degree in Data Science / AI / Computer Science / Econometrics / Engineering / Statistics / Actuarial Science or similar or relevant professional certification.

PREFERRED MINIMUM EDUCATION

Masters in Data Science / Computer Science / Engineering / Statistics / Mathematics or similar.

MINIMUM EXPERIENCE
7 years’ experience in a Data Science / Analytics / Academic (eg. postgraduate) role.

PREFERRED MINIMUM EXPERIENCE
10 years’ experience in a Data Science / Analytics / Academic (eg. postgraduate) role.

CRITICAL COMPETENCIES
Able to collaborate with cross-functional teams and business stakeholders across the Enterprise to successfully deliver Data Science solutions.
Able to oversee multiple concurrent Data Science projects and effectively manage project resources.
Deep understanding of the Data Science domain within financial services with the ability to execute data science strategies and roadmaps.  
Advanced analytics competency level demonstrated (including mathematical/statistical modelling).
Experience with the development and deployment of Data Science solutions on cloud platforms (eg. AWS, MS Azure).
Proficient with the usage of open-source Data Science technologies and platforms (including Python and SQL, Linux, Docker/Kubernetes etc.).
Presentation, communication and data visualisation skills (able to convey technical insights to both technical and non-technical stakeholders).

ADDITIONAL COMPETENCIES
Knowledge of Data Governance and Compliance principles.
Able to drive organisational change related to Data Science initiatives (change management).
Thorough understanding of software engineering best practices.
Able to guide a team of Data Scientists on technical matters as needed.

BEHAVIOURAL ATTRIBUTES
Attention to detail
Deadline driven
Organised
Team player
Curious
Creative 
Innovative
Ability and willingness to learn and try new approaches
Enjoys solving difficult problems

KEY RESULTS AREA 

Stakeholder Engagement and Expectation Management

Negotiates agreed deliverables and timelines to best meet business owner’s objectives.
Engages positively within data science team and with external stakeholders.
Keeps stakeholders informed of progress.
Seeks assistance to overcome obstacles as they may arise. 
Ensure solutions developed can be practically implemented.
Being able to define road map for the respective areas.
Obtain stakeholder buy-in.
Leading a data science function.
Management of cost benefits of the function i.e. the use of consultants, recruitment, third parties.

Data wrangling and data preparation

Ensure data preparation of high quality for projects overseen. 
Package data into correct format for further analysis or delivery.
Ensure data documentation is of a high quality.
Ensure adherence to best standards in respect to data quality.
Maximise value from new data sources.

Analysis, reporting, data visualisation and communicating results

Ensures high quality presentations appropriate for diverse audiences to make informed decisions.
Document process followed to determine findings from data retrieval to final outcomes.
Prepare presentation for feedback to Exco or identified stakeholders.
Communicate findings to relevant stakeholders in order to adopt recommendations.

Statistical Model building and Machine Learning model building
Oversees advanced modelling and advanced analytics for projects.
Develop and maintain an understanding of relevant business processes.
Review current processes for business opportunities by means of appropriate statistical models.
Prepare a project plan in terms of requirements for completion of model.
Develop a descriptive or predictive mathematical or statistical model making use of available statistical tools.
Communicate the model’s performance (verbal and written) to relevant stakeholders.
Prepare a presentation of results for presentation to Exco or identified stakeholders for final approval.
Document specifications and process of model roll out working with Strategy Manager and bureau for deployment.
Test and validate functionality of the implementation of the model in terms of requirements.
Review current modelling methodologies in respect to international best practices.

Model monitoring and refinement

Ensures good governance processes are established.
Ensure monitoring of models to determine predictive power is maintained on an ongoing basis.
Identify and recommend suitable solutions in writing with evidence of the identified problem.
Implement approved solution in terms of recommendation.

Change Management
Ensure appropriate specifications needed to implement change process or recommendation after obtaining necessary approval from relevant committee.
Oversee the changes to be done in consultation with Business Analysts.
Test and validate functionality of the implementation process.
Obtain final sign off on implementation.
Maintain complete documentation of any follow up changes.
Enable audit and validations to be performed.

Data ethics, governance and privacy     

Understands legislation and comply with it, e.g. data privacy rules complied with.
Ethics to be considered at all stages of work.
Avoid unfair discrimination.

Leading teams
Will lead a large team of data scientists.
Ensure that the team stays abreast of market, technology, company, AI developments.
Mentoring and training.
Assist team members with new tasks in respect of unfamiliar aspects of the job.
Train team members in respect of technical aspects and business aspects of the job as well as for succession planning.
Thought leadership – inspires new ways of thinking and solving problems.
Brings out the best in colleagues, peers and subordinates.
Enables team to deliver on data science strategy.
Identify opportunities for data science to be used to solve business problems.
Challenging the norms.
Must be highly skilled at managing managers.
Creating a compelling vision for their function.

Research
Establish and embed best practices to the benefit of all peers and stakeholders.
Enhance existing models.
Alternative models, approaches and methodologies.
Find new data sources.
Find new ways of utilising and absorbing diverse data sources for business problems and to maximise value from data.
Keep abreast of market, technology, company, AI developments through conferences and self-learning.

Treating Customers Fairly  and Compliance
Create and maintain productive relationships with internal and external clients by providing advice and assistance.
Create understanding of the ‘real’ versus ‘perceived’ need through experience and expertise while complying with company policies, legislation and regulations.
Keep the client informed about progress through written communication, telephone communications, and/or face-to-face meetings.
Build a positive image by exceeding client expectations at all times.
Treat internal and external customers fairly at all times.

Management of Resources
Manage and develop subordinate(s): Performance management in terms of contracting, reviews and poor performers, training and development, employee relations.
Manage people efficiencies through leave management, headcount budget, fixed term contracts, staff movements, secondments, staff utilization.
Take appropriate disciplinary measures as required.
Facilitate induction of new staff within one month of joining the organizati
You applied for this position on .
 
06-Nov-2024 20-Dec-2024 Print
Casual position in the Skilled Technical / Specialist sector/job category.

MINIMUM EDUCATION
Bachelor’s degree with quantitative subjects.

PREFERRED MINIMUM EDUCATION
Honours Degree in Data Science / Computer Science / Engineering / Statistics / Mathematics or similar.

MINIMUM EXPERIENCE

2-3 years’ experience in a Data Science / Analytics / Academic (eg. postgraduate) role.

PREFERRED MINIMUM EXPERIENCE
3-5 years’ experience in a Data Science / Analytics / Academic (eg. postgraduate) role.

CRITICAL COMPETENCIES

Proficient with the usage of the Python.
Intermediate to advanced level knowledge of SQL.
Basic to intermediate level knowledge of the Linux OS.
Advanced analytics competency level demonstrated. 
Ability to produce effective data visualisations.
Mathematical modelling.
Technical report writing.
Presentation and communication skills.

ADDITIONAL COMPETENCIES
Able to effectively use Microsoft Office. 
Basic to intermediate level proficiency with the usage of AWS cloud technologies.
Able to work with unstructured data.

BEHAVIOURAL ATTRIBUTES

 Attention to detail
Deadline driven
Organised
Team player
Curious
Creative 
Innovative
Ability and willingness to learn and try new approaches
Enjoys solving difficult problems

KEY RESULTS AREA

Stakeholder Engagement and Expectation Management

Engages positively within data science team and with external stakeholders
Understands and delivers on agreed deliverables and business owner’s objectives
Keeps stakeholders informed of progress
Seeks assistance to overcome obstacles as they may arise
Ensure solutions developed can be practically implemented

Data wrangling and data preparation
Retrieve data from identified data sources (including unstructured data sources)
Validate, clean and filter data against identified criteria
Package data into correct format for further analysis or delivery
Create data sets as required for ad hoc analysis
Enhance data documentation where possible
Document data wrangling steps clearly

Analysis, reporting, data visualisation and communicating results
Ensures high quality presentations appropriate for diverse audiences to make informed decisions
Analyse data and verify results in terms of requested information by applying suitable standard and advanced univariate and multivariate statistical techniques 
Document process followed to determine findings from data retrieval to final outcomes
Prepare a written report of findings for distribution to direct manager for final approval
Prepare presentation for feedback to Exco or identified stakeholders
Communicate findings to relevant stakeholders in order to adopt recommendations

Statistical Model building and Machine Learning model building
Develop and maintain an understanding of relevant business processes
Review current processes for business opportunities by means of appropriate statistical models
Build statistical models to drive business strategies 
Understand and interpret specifications of the model from the business by liaising with different stakeholders
Prepare a project plan with requirements for completion of model
Prepare and analyse data 
Develop a descriptive or predictive mathematical or statistical model making use of available statistical tools
Validate the model in terms of requirements
Communicate the model’s performance (verbal and written) to relevant stakeholders
Prepare a presentation of results for presentation to Exco or identified stakeholders for final approval
Document specifications and process of model roll out working with Strategy Manager and bureau for deployment
Test and validate functionality of the implementation of the model in terms of requirements
Review current modelling methodologies in respect to international best practices

Model monitoring and refinement
Monitor models to determine predictive power is maintained on an ongoing basis
Analyse data in respect of models where outcomes are not in line with expectations to identify causes for variances
Identify and recommend suitable solutions in writing with evidence of the identified problem
Implement approved solution in terms of recommendation

Change Management
Write appropriate specifications needed to implement change process or recommendation after obtaining necessary approval from relevant committee
Oversee the changes to be done in consultation with Business Analysts
Test and validate functionality of the implementation process
Maintain complete documentation of any follow up changes
Enable audit and validations to be performed

Data ethics, governance and privacy

Understands legislation and comply with it, e.g. data privacy rules complied with
Ethics to be considered at all stages of work
Avoid unfair discrimination

Mentoring and training
Assist team members with new tasks in respect of unfamiliar aspects of the job
Train team members in respect of technical aspects and business aspects of the job as well as for succession planning

Research
Enhance existing models 
Alternative models, approaches and methodologies
Find new data sources
Find new ways of utilising and absorbing diverse data sources for business problems and to maximise value from data

Treating Customers Fairly  and Compliance
Create and maintain productive relationships with internal and external clients by providing advice and assistance
Create understanding of the ‘real’ versus ‘perceived’ need through experience and expertise while complying with company policies, legislation and regulations
Keep the client informed about progress through written communication, telephone communications, and/or face-to-face meetings
Build a positive image by exceeding client expectations at all times
Treat internal and external customers fairly at all times

You applied for this position on .
 
06-Nov-2024 20-Dec-2024 Print
Permanent position in the Professionals sector/job category.
MINIMUM EDUCATION
Bachelor’s degree with quantitative subjects.

PREFERRED MINIMUM EDUCATION
Masters Degree in Data Science / Computer Science / Engineering / Statistics / Mathematics or similar.

MINIMUM EXPERIENCE

5 years’ experience in a Data Science / Analytics / Academic (eg. postgraduate) role.

PREFERRED MINIMUM EXPERIENCE
5-7 years’ experience in a Data Science / Analytics / Academic (eg. postgraduate) role.

CRITICAL COMPETENCIES

Develop and implement Machine Learning (ML) models for various business applications.
Design and conduct experiments for hypothesis testing and model evaluation (including A/B testing).
Advanced analytics competency level demonstrated (including mathematical/statistical modelling).
Skilled with the usage of containerization technologies (Docker/Kubernetes).
Able to integrate ML pipelines into CI/CD workflows.
Intermediate to advanced level proficiency with the usage of AWS and/or other cloud platforms/technologies.
Thorough understanding of software engineering best practices.
Highly proficient with the usage of the Python.
Advanced level knowledge of SQL.
Intermediate to advanced level knowledge of the Linux OS.
Presentation, communication and data visualisation skills (able to convey technical insights to both technical and non-technical stakeholders).

ADDITIONAL COMPETENCIES

Experience in leading and mentoring junior data scientists.
Technical report writing.
Able to effectively use Microsoft Office. 
Able to work with unstructured data.

BEHAVIOURAL ATTRIBUTES

Attention to detail
Deadline driven
Organised
Team player
Curious
Creative 
Innovative
Ability and willingness to learn and try new approaches
Enjoys solving difficult problems

KEY RESULTS AREA
 
Stakeholder Engagement and Expectation Management
Engages positively within data science team and with external stakeholders
Understands and delivers on agreed deliverables and business owner’s objectives
Keeps stakeholders informed of progress
Seeks assistance to overcome obstacles as they may arise
Ensure solutions developed can be practically implemented

Data wrangling and data preparation
Retrieve data from identified data sources (including unstructured data sources)
Validate, clean and filter data against identified criteria
Package data into correct format for further analysis or delivery
Create data sets as required for ad hoc analysis
Enhance data documentation where possible
Document data wrangling steps clearly

Analysis, reporting, data visualisation and communicating results
Ensures high quality presentations appropriate for diverse audiences to make informed decisions
Analyse data and verify results in terms of requested information by applying suitable standard and advanced univariate and multivariate statistical techniques 
Document process followed to determine findings from data retrieval to final outcomes
Prepare a written report of findings for distribution to direct manager for final approval
Prepare presentation for feedback to Exco or identified stakeholders
Communicate findings to relevant stakeholders in order to adopt recommendations

Statistical Model building and Machine Learning model building

Develop and maintain an understanding of relevant business processes
Review current processes for business opportunities by means of appropriate statistical models
Build statistical models to drive business strategies 
Understand and interpret specifications of the model from the business by liaising with different stakeholders
Prepare a project plan with requirements for completion of model
Prepare and analyse data 
Develop a descriptive or predictive mathematical or statistical model making use of available statistical tools
Validate the model in terms of requirements
Communicate the model’s performance (verbal and written) to relevant stakeholders
Prepare a presentation of results for presentation to Exco or identified stakeholders for final approval
Document specifications and process of model roll out working with Strategy Manager and bureau for deployment
Test and validate functionality of the implementation of the model in terms of requirements
Review current modelling methodologies in respect to international best practices

Model monitoring and refinement

Monitor models to determine predictive power is maintained on an ongoing basis
Analyse data in respect of models where outcomes are not in line with expectations to identify causes for variances
Identify and recommend suitable solutions in writing with evidence of the identified problem
Implement approved solution in terms of recommendation

Change Management

Write appropriate specifications needed to implement change process or recommendation after obtaining necessary approval from relevant committee
Oversee the changes to be done in consultation with Business Analysts
Test and validate functionality of the implementation process
Maintain complete documentation of any follow up changes
Enable audit and validations to be performed

Data ethics, governance and privacy

Understands legislation and comply with it, e.g. data privacy rules complied with
Ethics to be considered at all stages of work
Avoid unfair discrimination

Mentoring and training
Assist team members with new tasks in respect of unfamiliar aspects of the job
Train team members in respect of technical aspects and business aspects of the job as well as for succession planning

Research
Enhance existing models 
Alternative models, approaches and methodologies
Find new data sources
Find new ways of utilising and absorbing diverse data sources for business problems and to maximise value from data

Treating Customers Fairly  and Compliance
Create and maintain productive relationships with internal and external clients by providing advice and assistance
Create understanding of the ‘real’ versus ‘perceived’ need through experience and expertise while complying with company policies, legislation and regulations
Keep the client informed about progress through written communication, telephone communications, and/or face-to-face meetings
Build a positive image by exceeding client expectations at all times
Treat internal and external customers fairly at all times
You applied for this position on .
 
07-Nov-2024 13-Nov-2024 Print
Permanent position in the Senior Management sector/job category.

Conceptualise, build and implement new Impairment, FV and ECap Models
Regulation
Scenario and Stress-testing
Forecasting
Understanding operational dependencies
Simulating scenario’s
Translating output into collections
Ensure models are documented and that documentation is in line with the minimum model documentation standards

Maintaining IFRS9 standards and methodology
Ensuring methodology is fair, representative and accurate.
Monitoring key risk areas
New business impacts
Engaging with Finance for the required provisions levels
Communicating and engaging with internal and external Auditor’s on adequacy of provisions.
Influencing and reporting to business on areas of concern

Guiding strategy in key business imperatives
Focus on strategic direction and proactively provide the organisations/stakeholders with feedback/guidance that will assist overall decision making.
Where appropriate, assist Retail Ops/Finance in quantifying the expected sales mix.
Assist in modelling/unpacking/tracking various collections initiatives.
Conduct analysis with regards to yield leakages when required.
Provide business stakeholder with guidance based on advanced modelling, if and when required, in order to ensure initiatives are rolled-out and managed effectively.

Portfolio and Model monitoring
Continuously monitor the bank’s loan portfolio performance, identifying trends, emerging risks, and concentrations that may affect the portfolio
Conduct stress testing and scenario analysis to assess how adverse conditions may impact the credit portfolio
Monitor portfolio performance against model assumptions for appropriateness
Implement early warning systems to detect potential problem loans
Reporting on Model performance in terms of back testing

Reporting, Attending and Presenting at Various Committees
Prepare regular reports on credit risk, provisioning levels, and portfolio health for senior management, risk committees, and regulators
Formulate and document findings/results in a timely, accurate and professional manner.
Formally present findings if and when needed.
Submit monthly constitution to the credit pack.

Customer
Create and maintain productive relationships with internal and external clients by providing advice and assistance
Create understanding of the ‘real’ versus ‘perceived’ need through experience and expertise while complying with company polices legislation and regulations
Keep the client informed about progress through written communication, telephone communications and/or face to face meetings
Build a positive image by exceeding client expectations at all times
Treat internal and external customers fairly at all times

Data and Processes
Create and maintain automated processes that:
Gathers relevant data
Ensures data accuracy
Applies financial forecasting models at an account level
Aggregates the results
Generates reports , and
Distributes results to all relevant parties

Management of resources
Manage and develop subordinate(s): Performance management in terms of contracting, reviews and poor performers, Training and development, Employee relations
Manage people efficiencies through leave management, headcount budget, fixed term contracts, staff movements, secondments, staff utilization
Take appropriate disciplinary measures as required
Facilitate induction of new staff within one month of joining the organization

You applied for this position on .
 
12-Nov-2024 18-Nov-2024 Print
Permanent position in the Clerks sector/job category.

Sales Focus- Achieve customer growth, revenue and collections targets as defined by the bank
Meet and exceed individual activity metrics for all product lines
Meet, exceed and effectively execute on all Sales & Customer targets as set by the Bank
Effectively execute the Banks sales strategy in respect of Product & Value Added Services(Up Selling, Cross Selling & Capital Take Up)
Outbound calling to target both existing and prospective customers
Convert all sales opportunities received through inbound customer requests, outbound calling, lead generation initiatives and customer queries
Establish, develop and maintain business relationships with existing and prospective customers to generate new business
Participates in cross selling bank products.
Maintain detailed tracking of pipeline management and of prospect data and activities
Set up in person visits, appointments and presentations, following up telephonically where necessary
Conduct a professional financial needs analysis to make a needs based analysis that may lead to a sale
Scheduling customer feedback for obtaining documents and progress updates
Adhere to Supervision requirements set out by Line Manager for all financial products
May prepare weekly, monthly and quarterly reporting and present results to management
Ensure effective Cash Management as and when required with approved authorization
Ensure effective CAM Management as and when required with approved authorization
Ensure effective management of Credit Card Administration & Fulfilment as and when required with approved authorization
Ensure accountability for your own results

Marketing Focus
Keep abreast of products and services, competitive activities, advertising and promotional trends in and around your branch
Identifying referral opportunities in and around the branch
Assists the branch in meeting goals by generating new business through marketing activities, promotions, telemarketing and targeted customer initiatives
Participates in events that demonstrate support for the community and increase business opportunities for the Bank
Ensure all marketing endeavours, activities and initiatives adhere to appropriate policies and procedures

Risk & Compliance Focus
Ensure deal quality is a premium by reviewing and completing product applications with the customer timeously and accurately utilising all the necessary Bank tools and training to mitigate risk (Biometrics & Fraudulent Indicator Identification)
Comply with all policies/procedures related to all customer interactions and engagements
Ensure compliance with all regulatory requirements and the Banks compliance policies related to these requirements
Ensure the reporting of certain incidents and instances required in terms of regulatory requirements(AML)
Ensure the reporting of all fraudulent behaviour incidents and fraudulent indicator instances via the correct fraud and dishonesty reporting channels
Ensure effective execution of a “zero defect” prerogative in terms of the Deal Quality Error Rate
Ensure effective execution of a “zero defect” prerogative in terms of the Capturing of Income & Expenses Error Rate
Ensure compliance with FAIS journey inclusive of RE qualification parameters and guidelines as set by the Bank(Own)

Customer Service
Ensure compliance with the Banks Customer Service Standard and relevant legislation
Ensure compliance with TCF principles
Ensure accountability for your own behaviours while helping team members to enhance their ability to engage with the Banks customers
Ensure you satisfy all the Banks customer’s financial needs and help them succeed financially
Ensure accountability for application quality and turnaround times, query resolutions and solution creation for the Banks Customers

Training & Development
Responsible for ensuring you receive on-going sales/service development training for deficiencies as highlighted in your developmental/coaching plans
Responsible for participation in and successful completion of all product and services training and developmental initiatives that have a bearing on your on-going value proposition to the Banks customers
Responsible for 100% participation in and successful completion of risk and compliance training initiatives that have a bearing on your on-going value proposition to the Banks customers and additional regulatory, statutory and compliance obligations of the Bank

Operational Activities
Responsible for ensuring compliance with all security and safety procedures within the branch including opening and closing procedures, camera surveillance where appropriate. Branch security, robbery, fire drill procedures and health and safety procedures and SOP’s.
Perform other admin related duties as may be required by Management and Leadership structures of African Bank.

You applied for this position on .