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Manager, Finance Systems, Data & Automation

StandardBankGroup

Nairobi, Nairobi County, Kenya permanent

Posted: March 18, 2026

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Quick Summary

We are seeking a high-calibre finance professional to join our team as a Manager, with strong financial expertise and a proven track record of success in financial systems and automation.

Job Description

Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers a variety of career-enhancing opportunities – plus the chance to work alongside some of the sector’s most talented, motivated professionals. Our clients range from individuals, to businesses of all sizes, high net worth families and large multinational corporates and institutions. We’re passionate about creating growth in Africa. Bringing true, meaningful value to our clients and the communities we serve and creating a real sense of purpose for you.

The Manager, Finance Systems, Data and Automation is responsible for strengthening financial integrity, process efficiency, operational resilience, data quality, and revenue protection across the Bank. The role ensures that financial systems, data flows, reconciliations, controls, and reporting processes are optimized and automated, while ensuring end‑to‑end visibility on revenue leakage risks, adherence to Group Standards, and compliance with Data and Risk governance frameworks.

Type of Qualification: First Degree

Field of Study:  Finance, Accounting, Information Systems, Data Science, Engineering, or related field.

Professional certifications preferred:  ACCA, CPA, CISA, DAMA

Experience Required

5-7 Years

• Finance, Financial Systems, Risk Assurance, or Data functions.
• Experience with automation, digital transformation, and revenue assurance

Behavioural Competencies:

• Adopting Practical Approaches
• Articulating Information
• Checking Things
• Documenting Facts
• Interpreting Data
• Upholding Standards

Technical Competencies:

• Business Acumen
• Data Analysis
• Data Integrity
• Data Management
• Data Quality
• Process Analysis and Redesign

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