Current Opportunities at Standard Bank Group

• The Programme provide exposure to relationship banking within the financial services industry and success is dependent on cross-functional teamwork within client service teams and involves active learning and opportunities for various practical applications through a rotational Programme. In addition to keeping up to date on best practice, you also get the opportunity to present your insights and results to a broad range of stakeholders. 

Are you up for the challenge? 
If your answer is yes, then take your career to new heights in Relationship Banking. 

• Rotating through different departments will allow you the opportunity to gain experience of different functions and rapidly learn the organization.  These rotations are based on virtual and face to face and virtual work immersion, i.e. connect, learn and perform these tasks under the supervision of the Coaches. 
• In support of the virtual / face to face work immersion, you are required to complete relevant training to support your development.  Training will be available online, via virtual / face to face meetings and virtual / face to face classroom sessions.  
• At the end of the rotations, you are required to achieve all milestones and goals.

QUALIFICATIONS

Postgraduate qualification; Completed or completing in 2023

• Relevant FAIS recognised Qualification, FAIS Advisory business related Undergraduate/Postgraduate Qualification 
• Bachelor of Commerce Honours 

ADDITIONAL INFORMATION

Minimum Requirements:

South African Citizen

Application closing date 10th July 2023

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JOB DESCRIPTION

• To source, analyse, provision and report data to internal clients, timeously, in the necessary format and of outstanding quality, to contribute towards the creation / enhancement of CIBs Credit Risk models and programmes, and in subsequent appraisal of results, to quantify and manage credit risks and optimise risk decision-making associated with Counterparty, Transactional, Country/Sovereign, Industry/Sector specific risk.

Key Responsibilities/Accountabilities:

• Business needs analysis 
  • Receive requests for data, engage and collaborate with internal and / or external stakeholders to understand business data requirements and proactively interrogate stakeholders to ensure that credit risk data are delivered in an appropriate format and to the desired specifications.
• Data sourcing 
  • Identify and evaluate alternate, available and relevant data sources to ensure reliability, validity and simple, efficient access to appropriate source data. Locate and remove duplicate sources of data and download and store required data resources in a chronological structure.  Where required, work with other analysts and data engineers on quality assurance of source data and systems.
• Data cleaning 
  • Identify and resolve any ad hoc and / or persistent data quality and integrity issues by conducting both routine and ad-hoc data cleaning and testing, to facilitate the generation of aggregate and up-to-date risk data in a timely manner while also meeting the principles relating to accuracy, integrity, completeness and adaptability. 
• Data processing 
  • Perform data pre-processing (i.e. data manipulation, transformation, normalisation, standardisation, visualisation and derivation of new variables/features), as applicable to developing specific algorithms or models. Build rules to transform the data into normalised data and / or report formats, depending on the needs of Model Development. Compile, sort and organises data in preparation for subsequent analysis.
• Data analysis 
  • Discover and apply insights from big data sets of structured, semi-structured, and unstructured data. Apply data mining techniques, perform statistical analysis on large data sets and validate analysis using appropriate techniques (applying test data sets, A/B testing, scenario modelling, etc.).
• ​​​​​​​Stakeholder engagement 
  • Form productive networks with internal and external stakeholders. Collaborate to develop / enhance existing credit risk predictive models to meet specific business needs. Work with data analysis colleagues to review, approve, produce or update system or object data models and correlate these with CIB models. Work with database design or administration teams to translate object and data models into appropriate database schemas within design constraints.  
• ​​​​​​​Quality assurance 
  • Ensure all technical solutions are delivered within continuous integration standards and agreed timelines.  Quality assure work completed by junior colleagues, including code and business rules developed, supporting documents and test plans. Review work done by data analysts to assure compliance with standards, methods and tools used in the bank for application development. 
• ​​​​​​​Reporting
  • Lead, develop and generate routine and ad-hoc reports, dashboards and risk data fact sheets in line with business requirements (i.e. in the required formats and with the relevant visualizations and commentary). Prepare interpretation of finding into clear, actionable, and timely insights and present these to internal and/or external clients (e.g. Credit Risk, Model Development and External Agencies).
• ​​​​​​​Policies, procedures, systems standards and tools
  • Develop and document policies, procedures, governance guidelines and SLAs. Comply with all applicable policies, standards, systems, processes, and procedures (including Risk Data Aggregation and Risk Reporting (RDARR) standards and technical policies and the BCBS 239 (Basel Committee on Banking Supervision) data governance standards) so that all relevant risk and governance requirements are fulfilled while consistently delivering quality products and services.  
• ​​​​​​​Data stewardship and risk management 
  • Drive consistent standards for data management and analysis tools and techniques and ensure compliance requirements are met for both structured and unstructured data. Ensure that strong controls are in place to deliver data that is fit for purpose within the business. Participate in disaster mitigation and recovery plans for solutions and databases supported.  

QUALIFICATIONS

• Minimum requirement is a bachelor’s degree in Information Technology / Information Systems / Computer Science or related field
• Python and Angula experience
• 5-7 years Collecting and analysing critical business data, transforming data and maintaining high levels of integrity in data management. Data sharing, sourcing data from third parties for validation purposes and as well as the service delivery of analysed critical data to business.
• 5-10 years experience and daily usage of programming in SQL, structured query language, and other common programming languages. Highly advanced computer skills are required for this job. Understands business trends and the direction technology must take to support the business.
• 3-5 years Experience with and understanding of credit risk data and terminology within Corporate and Investment Banking. Understands CIB’s products and services, and basic business processes.

ADDITIONAL INFORMATION

Competencies:

Data Analysis

• Competency Description: Ability to analyse statistics and other data, interpret and evaluate results, and create reports and presentations for use by others.

Data Integrity

• Competency Description: The 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.

Metadata management

• Competency Description: The knowledge and understanding of the IT systems and processes that are available to be used for the sharing, storing and retrieval of information in the organisation.

Statistical and mathematical analysis

• Competency Description: The ability to build, analyse and interpret numerical and non-numerical data to determine potential risk exposure and statistical inferences to inform business decisions.

Functional Analysis and UAT

• Competency Description: Skills and knowledge of activities, tasks, practices and deliverables to analyse and translate client needs and test the function of the system against the functional requirements.

Write Code

• Competency Description: Ability to write programming code based on a prepared design.

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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

Minimum QualificationsType of Qualification: Diploma
Field of Study: Risk Management
Experience Required
Compliance

• Financial Crime Risk Management

Experience Required: 5-7 years

• Extensive experience in a leadership role in fraud or similar environment. Comprehensive knowledge of transactional systems, processes and procedures in the industry. Ability to analyse situations and issues, identify options, draw logical conclusions and sound inferences, determine and recommend practical sources of action utilising good judgment and strategic thinking.

Compliance

• Financial Crime Risk Management

Experience Required: 1-2 years

• Ability to manage and lead people in order to deliver high levels of operational excellence and customer service.

ADDITIONAL INFORMATION

Competencies:

• Providing Insights
• Examining Information
• Making Decisions
• Directing People
• Resolving Conflict
• Team Working
• Understanding People
• Checking Details
• Meeting Timescales
• Following Procedures
• Upholding Standards
• Taking Action
• Query Resolution
• Written Communication
• Fraud Investigation
• Risk Awareness
• Fraud Detection & Management
• Data Management (Administration)