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Standard Bank Group is the largest African banking group by assets offering a full range of banking and related financial services. “Africa is our home, we drive her growth” Our vision is to be the leading financial services organisation in, for and across Africa, delivering exceptional client experiences and superior value. This sets the prim...
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JOB DESCRIPTION
To grow, retain and execute on the private segment offering, related initiatives and activities aimed at creating value for the client and the bank (i.e. optimising client experience, building deep relationships and create profitability for the bank).
QUALIFICATIONS
Minimum Qualifications
- Bachelor of Commerce (NQF7) in Business Commerce
- FAIS Aligned Qualification
- RE5 and RE1
Experience Required
- Affluent & High Net Worth Clients
- 5-8 years Experience in sales, service, relationship management, credit applications and financial acumen (i.e., proven sales track record in the Financial service industry.)
ADDITIONAL INFORMATION
Behavioural Competencies:
- Developing Expertise
- Impressing People
- Establishing Rapport
- Conveying Self-Confidence
- Showing Composure
Technical Competencies:
- Credit Management
- Financial Acumen and Commercial Acumen
- Portfolio Management
- Customer Service
- Sales Management
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JOB DESCRIPTION
To proactively promote a deep relationship-based offering related initiatives and activities aimed at creating value for the client and the bank (i.e. optimising client experience, building deep relationships and create profitability for the bank).
QUALIFICATIONS
Minimum Qualifications
- Diploma in Finance and Accounting (Relevant FAIS Qualification (FAIS Intermediary)
Experience
- 3-4 years branch banking experience, with exposure to universal banking, BDC/Forex, credit and overall client service.
ADDITIONAL INFORMATION
Behavioural Competencies
- Examining Information
- Documenting Facts
- Interpreting Data
- Exploring Possibilities
- Conveying Self-Confidence
Technical Competencies
- Credit Management
- Financial Acumen
- Commercial Acumen
- Portfolio Management
- Customer Service
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JOB DESCRIPTION
To investigate and detect illegal, fraudulent or improper activities by monitoring accounts for fraud, analysing trends, reporting on security threats and resolving fraud cases in order to mitigate risk of financial loss for Standard Bank Group (SBG).
QUALIFICATIONS
Minimum QualificationsType of Qualification: Diploma
Field of Study: Risk Management
Experience Required
Compliance
Financial Crime Risk Management
Experience Required: 3-4 years
Experience in an investigative 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.
ADDITIONAL INFORMATION
Competencies:
- Generating Ideas
- Providing Insights
- Examining Information
- Making Decisions
- Showing Composure
- Thinking Positively
- Embracing Change
- Team Working
- Checking Details
- Following Procedures
- Completing Tasks
- Taking Action
- Query Resolution
- Fraud Investigation
- Risk Awareness
- Written Communication
- Fraud Detection & Management
- Data Management (Administration)
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JOB DESCRIPTION
To grow and retain a portfolio of Entrepreneur Segment relationships by performing a proactive, mobile, value adding financial partnership role within the approved CVP. Adding value to client’s ecosystem through both financial and non- financial (e.g., platform business) solutions.
QUALIFICATIONS
Minimum Qualifications
- First Degree Business Commerce
- Relevant FAIS qualification
Experience
- Business and Commercial Clients
- 3-4 years Experience in client facing role including sales, credit and relationship management.
ADDITIONAL INFORMATION
Behavioural Competencies
- Exploring Possibilities
- Interacting with People
- Making Decisions
- Directing People
- Empowering Individuals
Technical Competencies
- Account Opening & Maintenance
- Risk Reporting, Management and Identification
- Application & Submission Verification (Business Banking)
- Customer Understanding (Business Banking)
- Product Knowledge (Business Banking)
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JOB DESCRIPTION
To grow and retain a portfolio of high value Business Segment relationships by performing a proactive, mobile, value adding financial partnership role within the approved CVP. Adding value to client’s ecosystem through both financial and non- financial (e.g., platform business) solutions.
QUALIFICATIONS
Minimum Qualifications
- Business Commerce Degree (FAIS recognised qualification)
Experience
- Years: 5-7 years
- Experience in client facing role including sales, credit and relationship management.
ADDITIONAL INFORMATION
Additional information
Behavioural Competencies
- Establishing Rapport
- Interacting with People
- Convincing People
- Showing Composure
- Providing Insights
Technical Competencies
- Risk Awareness
- Risk Identification
- Banking Process & Procedures
- Business Process Improvement
- Client Knowledge
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JOB DESCRIPTION
Support in providing infrastructure, tools and frameworks used to deliver end-to-end solutions to business problems. Build scalable infrastructure for supporting the delivery of business insights from raw data sources with a focus on collecting, managing, analysing, visualising data and developing analytical solutions. Responsible for expanding and optimising the organisations data and data pipeline architecture, whilst optimising data flow and collection to ultimately support data initiatives.
QUALIFICATIONS
- First Degree in Information Studies, Information Technology.
Experience
- 3-4 years experience with big data tools: Hadoop, Spark, Kafka, Splunk, Kibana etc. Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. Experience with AWS cloud services: EC2, EMR, RDS, Redshift. Experience with stream-processing systems: Storm, Spark-Streaming, etc. Experience with object-oriented/object function scripting languages: Salesforce, Python, Java, C++, Scala, etc.
- 3-4 years working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Experience building and optimizing ‘big data' data pipelines, architectures and data sets. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- 3-4 years Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. A successful history of manipulating, processing and extracting value from large disconnected datasets. Working knowledge of message queuing, stream processing, and highly scalable ‘big data' data stores.
ADDITIONAL INFORMATION
Behavioural Competencies:
- Providing Insights
- Examining Information
- Articulating Information
- Adopting Practical Approaches
- Checking Details
Technical Competencies:
- IT Architecture
- Data Integrity
- IT Applications
- Data Analysis
- Knowledge Classification and Database Administration
go to method of application »
JOB DESCRIPTION
Support in providing infrastructure, tools and frameworks used to deliver end-to-end solutions to business problems. Build scalable infrastructure for supporting the delivery of business insights from raw data sources with a focus on collecting, managing, analysing, visualising data and developing analytical solutions. Responsible for expanding and optimising the organisations data and data pipeline architecture, whilst optimising data flow and collection to ultimately support data initiatives.
QUALIFICATIONS
- First Degree in Information Technology
- Honours Degree in Information Technology
Experience:
- Experience with big data tools: Hadoop, Spark, Kafka, etc. Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. Experience with AWS cloud services: EC2, EMR, RDS, Redshift. Experience with stream-processing systems: Storm, Spark-Streaming, etc. Experience with object oriented/object function scripting languages: Python, Java, C++, Scala, etc.
- Working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Experience building and optimizing ‘big data’ data pipelines, architectures and data sets. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. A successful history of manipulating, processing and extracting value from large disconnected datasets. Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
ADDITIONAL INFORMATION
Behavioural Competencies:
- Providing Insights
- Examining Information
- Articulating Information
- Adopting Practical Approaches
- Checking Details
Technical Competencies:
- IT Architecture
- Data Integrity
- IT Applications
- Data Analysis
- Knowledge Classification and Database Administration
go to method of application »
JOB DESCRIPTION
To build accurate pricing and profitability models in line with the Return on Equity Policy and Guidance. To ensure Vehicle Asset Finance front line is equipped with pricing mandates to enable appropriate decision making and ensure that pricing in the front-line stacks against budget expectations.
QUALIFICATIONS
- Degree / Post Graduate Degree in Accounting, Finance, Busines Science or Actuarial Science
- 1- 2 years experience in the design and development of customer value propositions
- 1 - 2 years understanding of product profitability and usage trends
- 3 - 4 years proficiency in the application of data management, advanced analytics, business intelligence and quantitative environment
ADDITIONAL INFORMATION
- Data Science and Modelling
- Revenue and Profitability Modelling
- Stakeholder Management
Method of Application
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