Current Roles at Standard Bank Group

JOB DESCRIPTION

• To identify, measure and report credit risks arising from the Group's global business across client segments and client solutions to appropriately manage credit risk in accordance with the requirements of the Standard Bank Group (SBG) Credit Risk Governance Standard and associated polices, including support for Group Risk activities and responsibilities for climate risk and ESG risk management embedment as required.

QUALIFICATIONS

• Degree in ether Business Commerce or Risk Management

Knowledge and Skills 

• Analysis and presentation of MI (Management Information) and reporting on portfolio credit risk. Experience in setting credit risk appetite and understand the Basel Framework and its application to Credit Risk.
• The role requires a seasoned individual and expert in Risk Management and business with profound knowledge of the full dimensions of the field but specific focus on Credit risks. Regulatory environment savvy, a proven track record in large scale credit assurance project implementation. Credit Experience in a banking environment at a senior management level.

ADDITIONAL INFORMATION

Behavioral Competencies:

• Adopting Practical Approaches
• Articulating Information
• Challenging Ideas
• Checking Details
• Convincing People
• Developing Expertise
• Documenting Facts
• Exploring Possibilities
• Generating Ideas
• Meeting Timescales
• Providing Insights
• Team Working

Technical Competencies:

• Compliance
• Data Analysis
• Financial Acumen
• Planninng, forecasting and budgeting
• Quantitatite Analysis

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JOB DESCRIPTION

• To lead the investigation of illegal and fraudulent cases by setting monitoring systems and managing security threats identified through trend analysis. To drive a culture of operational excellence through managing the Fraud and Disputes Analyst Team by guiding and coaching them on rigorous fraud investigations to protect clients and the bank from the risk of increased fraud losses and disputes and preserving the business' reputation. 

QUALIFICATIONS

Qualifications

• Risk Management Degree

Experience

Client 

• Engage with customers, to understand their business requirements and needs and, in so doing, be able to develop solutions to meet those objectives.
• Oversee the process of information transfer to customers in accordance to the Code of Banking Practice by accurately capturing, updating and amending case information and history notes to ensure customers are fully informed on their rights and obligations through the appropriate processes.
• Manage customer interactions across multiple electronic channels (email, SMS) and devices to deliver a consistent service.
• Review staff interactions with customers to gauge customer services quality offerings and identify gaps within existing systems and develop the appropriate solutions to improve the quality on systems where gaps have been identified.

Risk, Regulatory, Prudential & Compliance.

• Ensure that all queries and issues are addressed and resolved in line with relevant processes, procedures and regulatory requirements, and at all time in compliance with the scope of the Service Legal Agreement (SLA).
• Conduct root cause analysis on escalated matters, by obtaining appropriate documented evidence, which is documented to determine potential risk and exposure for resolution, to prevent any occurrences from the client, bank and any other entity's perspective.
• Report all identified matters to relevant internal and external bodies in line with regulatory and legislative requirements in order to mitigate any compliance breaches that may occur. Interrogate and report any deficiencies identified within analytical reports to ensure comprehensive adherence to operative legislation and regulations.
• Monitor and evaluate subordinates performance and compliance to bank specified policies and relevant regulatory requirements when handling any fraud and dispute matters.
• Manage all fraud and dispute matters and disciplinary processes in accordance to laid down policies and procedures.
• Identify process gaps that are not correctly laid down or non-existent and report these to the relevant entity to ensure compliance adherence to all processes and procedures for all stakeholders.

Data

• Review prepared investigative reports for accuracy and provide feedback where necessary in order to ensure key stakeholders have the correct information to make critical decisions.
• Using Business Intelligence principles, interpret and review business relevant data in order to compile business reports.

People

• Consolidate, trend and track staff performance on data entry, interpretation and analytics at pre-defined time periods to manage and coach staff on data management, in adherence to relevant data policies .
• Oversee staff outputs and management information system statistics to assess individual performance and provide guidance on improving performance and customer service quality.
• Drive a leadership culture with a customer-centric perspective through , managing and coaching staff in order to provide the highest levels of customer-service.
• Lead the Fraud and Disputes Analysts by creating a high-performance team through encouraging inclusivity and transparency through, inter alia, setting team goals, managing performance, and developing and motivating the team to enable a culture of accountability and excellence.
• Report fraudulent occurrences to the relevant persons, bodies or entities to ensure quality data is stored and partner with them to develop reliable mitigating solutions for such occurrences.

Technology & Architecture

• Identify areas of opportunity for automation and optimisation by interrogating areas in need and making recommendations to reduce hand-off's and decommission of non-value add activities, within the set Information Technology process and procedures for compliance

ADDITIONAL INFORMATION

Behavioural Competencies

• Providing Insights
• Examining Information
• Making Decisions
• Directing People
• Resolving Conflict
• Team Working

Technical Competencies

• Query Resolution
• Written Communication
• Fraud Investigation
• Risk Awareness
• Fraud Detection & Management

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JOB DESCRIPTION

To lead and review the audit process for a portfolio of audits through audit execution and oversight of the audit team to independently and objectively provide assurance that enables client centric risk management.

• Assess and influence risk culture in the business area responsible for, through audit projects and stakeholder engagement.
• Adhere to GIA methodology, policies and procedures. Manage adherence of team members on audit projects. Guide team members to enhance their understanding and application of GIA methodology, policies and procedures.
• Contribute to the effective development of audit technology by providing input on technology needs.
• Manage GIA, Group wide and other data used in the portfolio, adhering to GIA standards and relevant Group policies

QUALIFICATIONS

Minimum Qualifications, certifications or professional memberships

• Post Graduate Degree (IT/Computer Sciences/Information Systems) - Preference
• Any Relevant Degree (e.g. Audit/Finance/Legal/IT/Data).
• CISA (min)
• Relevant professional membership will be required based on specialty.

ADDITIONAL INFORMATION

Experience required

• 1 - 2 years: Experience analysing complex sets of data to interpret, visualise and identify trends. Understanding of IT controls.
• 5 - 7 years: Planning and executing audits. Managing and engaging with various stakeholders at a Senior Level. Experience in managing and leading teams with a proven track record of delegating and prioritizing tasks.

Behavioural & Technical Competencies

• Developing Strategies: This competency includes facets of behaviour such as being visionary and establishing effective plans that take into consideration long-term aspects. This competency also includes the need for individuals to focus on identifying trends.
• Taking Action: This competency is about taking action in service of achieving the organisation's goals. It is about being energetic, showing initiative and being action oriented.
• Interpreting Data: This competency is about interpreting data accurately with an emphasis on the processing and interpretation of numbers. This competency also includes the utilisation of technology.
• Meeting Timescales: This competency involves individuals adhering to time scales and meeting deadlines. The focus is therefore on being reliable at completing tasks and being punctual.
• Establishing Rapport: This competency is about the behaviours an individual should employ in order to effectively engage people, establish positive personal contact and improve the likelihood of maintaining positive relationships. This competency is therefore about putting people at ease, making friends and helping people feel welcome.
• Interacting with People: This competency is about fostering relationships that benefit the organisation as well as an individuals effectiveness and efficiency. More specifically, it includes personal networking behaviours, making contact with others and strengthening relationships.

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JOB DESCRIPTION

• To implement and execute Market Conduct regulations within allocated portfolio that contributes to client experience and influences market share growth. To deliver a pro-active first line of defence conduct risk function which will ensure sustainable and effective execution against conduct regulations.

QUALIFICATIONS

Minimum Qualifications
Type of Qualification: First Degree
Field of Study: Risk Management

Experience Required
Client Coverage
Consumer & High Net Worth
5-7 years
Experience in implementation and execution against conduct regulations to ensure compliance with regulations, this includes experience in pro-active first line monitoring to identify risks.

ADDITIONAL INFORMATION

Behavioral Competencies:

• Articulating Information
• Developing Strategies
• Embracing Change
• Examining Information
• Following Procedures
• Inviting Feedback
• Making Decisions
• Producing Output
• Providing Insights
• Resolving Conflict
• Taking Action
• Team Working

Technical Competencies:

• Compliance
• Risk Acceptance
• Risk Identification
• Risk Management
• Risk Reporting
• Risk Response Strategy
• Risk/ Reward Thinking

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JOB DESCRIPTION

• The resource planner is responsible for productivity and resources planning, including scheduling composition for consultants and resource forecasting, to ensure optimal customer service level as per consultation with business partners. The role encompasses the associated systems administration required to ensure that the resources have access to the relevant telephony systems. 
• Focus on all aspects of dialler and CRM administration, monitoring, reporting and analytics. 

QUALIFICATIONS

• Completed Matric
• Tertiary qualification would be an advantage

Experience

• 1 to 3 years minimum experience in a dialler environment where focus was placed on
• All aspects of Campaign Management (Calling, SMS and Idialler, ISMS, Blaster)
• Analytics 
• Stakeholder Management 
• Experience of Quality Assurance and Service Monitoring is preferable

ADDITIONAL INFORMATION

Behavioural Competencies

• Planning
• Decision Making
• Providing Insights
• Adopting Practical Approaches
• Prolbem Solving

Technical Competencies

• Analytics
• Stakeholder Management 
• Aspect (UIP and ALM) technology understanding
• Knowledge and understanding of the Credit Rehabilitation and Recoveries Customer Value Proposition 
• Computer literacy – working knowledge of how to access information via Intranet, Excel, Power Point, etc.

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JOB DESCRIPTION

• To provide a proficient reception function and create a positive introduction for the customer by putting them at ease, identifying their specific requirements and direct customers to the appropriate department. To identify customer's digital banking requirements and to efficiently and cost-effectively fulfill these, while managing the risks associated with migrating new and existing customers to alternative self-servicing and/or digital channels.

QUALIFICATIONS

Minimum Qualifications

• National Certificate (NQF5)

Experience

• 1-2 years branch banking experience with exposire to enquiries

ADDITIONAL INFORMATION

Behavioural Competencies

• Meeting Timescales
• Completing Tasks
• Showing Composure
• Articulating Information
• Team Working

Technical Competencies

• Banking Process and Procedures
• Product Knowledge
• Customer Reception and Channelling
• Client Servicing

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JOB DESCRIPTION

To assist with advanced analytics and deep insight by:

• providing customer centric data analytics, including alternative methods of aggregating raw data (internal and external), which will ultimately influence the way in which we view and act on customer behaviour and customer health, i.e. identifying risks and opportunities; and
• implementing the use of machine learning to challenge and improve predictive modelling techniques, the available characteristic universe across the customer life cycle and optimising segmentation to enhance model performance. Solutions should satisfy customer centricity and digitisation objectives.

QUALIFICATIONS

Minimum Qualifications
Type of Qualification: Honours Degree
Field of Study: Mathematical Sciences
Other Minimum Qualifications, Certifications or Professional Memberships: Honours degree (with majors in Statistics / Applied Mathematics / Econometrics / Actuarial Sciences/Engineering)

Experience

Advanced Analytics

• 3-4 years experience in advanced analytics, combined with sufficient knowledge of products and customer behaviour in a financial services environment. Experience with data mining and retail credit risk modelling. Communication skills, in particular, communication of technical concepts to a non-technical audience. Coding ability and experience to deal with big datasets (preferably in SAS, R, Python or SQL). Some experience of machine learning modelling techniques, with an understanding of underlying details and parameters.  Good analytical problem-solving skills.

ADDITIONAL INFORMATION

Behavioural Competencies:

• Generating Ideas
• Examining Information
• Exploring Possibilities
• Examining Information
• Developing Practical Approaches

Technical Competencies:

• Scientific Reasoning (ScR)
• Statistical Inference
• Data Analysis
• Data Integrity
• Strategic Planning and Reporting

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JOB DESCRIPTION

• To assist with advanced analytics and deep insight by being a proactive partner in providing customer centric data analytics, including alternative methods of aggregating raw data (internal and external), which will ultimately influence the way in which we view and act on customer behaviour and customer health, i.e. identifying risks and opportunities. Implementing the use of machine learning to challenge and improve predictive modelling techniques, the available characteristic universe across the customer life cycle and optimising segmentation to enhance model performance. Solutions should satisfy customer centricity and digitisation objectives. Including but not limited to Extracting meaningful insights from data, Predictive modelling and machine learning, Stakeholder Engagement, Leadership and People Management.

QUALIFICATIONS

Minimum Qualifications

• Type of Qualification: Post Graduate Degree
• Field of Study: Mathematical Sciences
• Other Minimum Qualifications, Certifications or Professional Memberships: Honours degree (with majors in Statistics / Applied Mathematics / Econometrics / Actuarial Sciences/Engineering.

Experience Required

• 5-7 Years experience in advanced analytics, combined with sufficient knowledge of products and customer behaviour in a financial services environment.
• Some experience in managing a quantitative team at a junior management level. Experience with data mining and retail credit risk modelling.
• Communication skills, in particular, communication of technical concepts to a non-technical audience.
• Team management and leadership experience as well as interaction at executive level. Coding ability and experience to deal with big datasets (preferably in SAS, R, Python or SQL). 
• Some experience of machine learning modelling techniques, with an understanding of underlying details and parameters.  Good analytical problem-solving skills.
• Experience in developing machine learning or AI models.
• Experience with container technologies (e.g. Docker, Kubernetes)
• Experience with cloud-based infrastructures Azure and/or AWS with their MLOps tools.

ADDITIONAL INFORMATION

Behavioural Competencies:

• Generating Ideas
• Exploring Possibilities
• Challenging Ideas
• Examining Information
• Developing Practical Approaches

Technical Competencies:

• Scientific Reasoning (ScR)
• Statistical Inference
• Data Analysis
• Data Integrity
• Strategic Planning and Reporting