Job Opportunities at Standard Bank Group

JOB DESCRIPTION

• Responsible for managing the building of new rules based on input from input from data and modelling teams as well as business stakeholders (incl. testing of new fraud rules, impact assessment with regards to customer friction and fraud frustration as well as continuous monitoring of rules performance). Management of rules implementation into PBB fraud detection management systems and ensuring rules are coded correctly and working as intended (incl. liaising with relevant stakeholders (e.g. IT, Fraud Risk Strategy Heads) if rules are not triggering any alerts). Responsible for maintaining an inventory of all PBB fraud rules and overseeing inventory to ensure fraud rules are effective (within as well as across PBB portfolios). Recommend changes to current fraud rules within risk appetite as well as fraud rules to mitigate trending fraud modus to Fraud Risk Strategy Heads and Country & PBB SA Business Stakeholders

QUALIFICATIONS
Minimum Qualifications

• Type of Qualification: Post Graduate Degree
• Field of Study: Information Technology
• Other Minimum Qualifications, Certifications or Professional Memberships: Coding skills for relevant monitoring systems to implement rules

Experience Required

• Risk Management
• 5-7 years proven experience in rule writing and monitoring or comparable (ideally in the area of fraud risk management)
• Personal and Business Banking
• 2 years experience - Some business knowledge of retail banking products such as Transactional, Card, Home loans, VAF and Insurance.

ADDITIONAL INFORMATION
Behavioural Competencies:

• Team Working
• Valuing Individuals
• Generating Ideas
• Embracing Change
• Empowering Individuals

Technical Competencies:

• Knowledge Management Systems
• Fraud Detection and Management
• Risk Management
• Effective business communication

Leadership Competencies:

• Driving Delivery of Results
• Inspiring Performance for Executive
• Aligning Business to Strategy
• Growing Capability
• Holding People Accountable
   

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JOB DESCRIPTION

• To provide reporting, insights and analytics for a portfolio across multiple products and/or segments across the credit lifecycle (e.g., originations, account management, collections) in order to inform business decision making strategy formulation.To enable the business to access and interpret reports and dashboards, and to efficiently and effectively utilise the available reporting toolsTo drive the automation of relevant production reports to ensure efficiency, and accuracy of reports.

QUALIFICATIONS

• Minimum QualificationsType of Qualification: First Degree
• Field of Study: Information Studies

Experience Required

• Data & Analytics
• Data Visualisation
• Experience Required: 5-7 years
• This role requires basic data and information lifecycle experience with some exposure to BI technologies and practices. Good reporting skills; including MS Excel, MS Access, MS Word and/or SQL to access, combine and analyse multiple data sources preferred.

ADDITIONAL INFORMATION
Competencies:

• Generating Ideas
• Providing Insights
• Developing Expertise
• Examining Information
• Interpreting Data
• Articulating Information
• Interacting with People
• Embracing Change
• Meeting Timescales
• Producing Outputs
• Pursuing Goals
• Taking Action
• Knowledge of Banking & Financial Service
• Data Integrity
• Managing Promotional Items
• Creating Effective Branded Experiences
• Financial Analysis
• Data Analysis

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JOB DESCRIPTION

• To develop high quality credit risk scorecards solving for business problems across the credit life cycle) for an allocated portfolio within agreed timelines, following agreed processes and procedures. To monitor the usage of the scorecards to determine relevance and requirement for remedial action where applicable.

QUALIFICATIONS
Minimum Qualifications

• Type of Qualification: Honours Degree
• Field of Study: Mathematical Sciences
• Other Minimum Qualifications, Certifications or Professional Memberships: Post-graduate Degree in a Quantitative Field / Statistics / Engineering

Experience Required

Credit

• 1-2 Years previous experience in scorecard and / or credit risk rating model development, preferably including application scoring and reject inference; credit analytics; data manipulation; data mining, preferably in a SAS environment, SQL and Python experience is also advantageous; Logistic Regression methodology within a banking / financial environment, Experience in other predictive modelling / machine learning techniques is also advantageous. Knowledge of the bank’s products and financial solutions.

ADDITIONAL INFORMATION
Behavioural Competencies:

• Adopting Practical Approaches
• Examining Information
• Documenting Facts
• Interpreting Data
• Interacting with People

Technical Competencies:

• Quantitative Skills
• Data Analysis
• Data Integrity
• Statistical and Mathematical Analysis
• Scorecard development and maintenance

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JOB DESCRIPTION

• To ensure the optimal development, enhancement, deployment, maintenance and monitoring of impairment models within PBB Capital and Impairment Model Development.
• Ensure models developed are of high quality and the required governance of model changes, and accounting and Reserve Bank regulations are adhered to.
• Have good understanding of modelling of Impairments under IFRS9 and Modelling of Capital under Basel.
• Successful candidates would be required to maintain and enhance existing models, as well as develop models for new products in the Business and Commercial Banking environment.

QUALIFICATIONS
Minimum Qualifications:

• Honours Degree in Mathematical Sciences/Statistic/Actual Science

Experience required:

• 3-4 Years' experience with data mining and retail credit risk modelling.
• Technical model development and implementation experience in the banking sector.
• Experience in building PD, LGD and EAD models end-to-end, through to implementation. Understanding of the use and impact of impairment models in retail banking or a retail lending environment.
• Good communication skills, in particular, communication of technical concepts to a non-technical audience
• Good understanding of modelling of Impairments under IFRS9 and Modelling of Capital under Basel.
• Successful incumbent would be required to maintain and enhance existing models, as well as develop models for new products in the BCC environment.
• A good understanding of SAS and data would be required. Knowledge of model building in Python would be an advantage.

ADDITIONAL INFORMATION
Behavioural Competencies

• Examining Information
• Adopting Practical Approaches
• Challenging Ideas
• Exploring Possibilities
• Upholding Standards

Technical Competencies

• Quant Skills- Ability to build, analyse and interpret quant models to determine potential risk exposure.
• Data Analysis-  Ability to analyse statistics and other data, interpret and evaluate results, and create reports and presentations for use by others.
• Data Integrity- Ability to ensure the accuracy and consistency of data for the duration that the data is stored as well as preventing unintentional alterations or loss of data.