Jobs at Standard Bank Group

Job Description

The purpose of the T24 Support Analyst role is to provide specialized technical support and maintenance for the T24 core banking system. This position involves troubleshooting issues, performing system upgrades, and ensuring the smooth operation of the T24 environment. By collaborating with various stakeholders, including IT teams and end-users, the T24 Support Analyst aims to resolve incidents promptly, enhance system performance, and implement best practices. The role is crucial in maintaining the stability and reliability of banking operations, contributing to the overall efficiency and effectiveness of the organization's financial services

Qualifications

• Type of Qualification: First Degree
• Field of Study: Information Technology, Engineering or any other related field

Experience Required

• 3-4 years

 Deep functional experience /expertise:

• AA (Arrangement Architecture) lifecycle management
• Accounts & Deposits processing
• General Ledger (GL) structure, posting rules, and reconciliation analysis
• Funds Transfer (FT) module including accounting flows and settlement impacts

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Job Description

To provide reporting, analytics, and strategic insights for a portfolio across multiple products and credit lifecycle segments (e.g., originations, account management, collections). Utilizing SQL, Python, and Power BI, this role drives the automation of production reports to ensure efficiency and accuracy. The core objective is to translate data into actionable insights for Senior Managers, enabling them to formulate strategies that effectively drive the business forward

Qualifications

• Type of Qualification: First Degree
• Field of Study: Information Technology, Statistics, Computer Science, Information Studies, Data Science, Mathematics, Actuarial Science, Computer Technology, Business Information Technology or related fields

Experience Required

• Experience- 5-7 years in an analytics role. At least 2 years in a leadership or team management role preferably in a financial or insurance industry
• Proficient in SQL, Python, R, Power BI or Visualization tools
• Strong statistical analysis and knowledge of Machine Learning techniques.
• Understanding of Business Intelligence, data warehousing, data architecture
• Understanding of data governance and privacy
• Data monetization