Senior Financial Manager: Transactional NIR Analysis Job at Nedbank

Why join the team!

• Nedbank is looking for a Senior Financial Manager to join a high-impact finance team focused on transactional non-interest revenue (NIR) and related cost optimisation within a complex, data-rich banking environment. This role sits at the intersection of finance, data, and commercial strategy, offering an opportunity to move beyond traditional reporting into insight-led, value-adding finance.
• You will work with large, complex datasets across multiple transactional products, developing advanced data manipulation, analytical, and problem-solving capabilities while gaining deep exposure to revenue drivers, pricing models, product economics, and cost structures. 
• The role offers strong exposure to senior stakeholders and the opportunity to influence business outcomes through data-driven insights and commercial recommendations. Operating within a lean, collaborative team, you will benefit from continuous coaching, cross-skilling, and exposure to adjacent areas such as value-added services and fintech-like environments.
• This is an ideal opportunity for a CA(SA) with strong analytical capability and a passion for working with data to build expertise in commercial finance, revenue optimisation, and strategic decision support within a fast-paced and evolving banking environment.

Job Purpose

• To drive value through analysis, management, and optimisation of transactional non-interest revenue (NIR) by combining strong financial expertise with deep data interrogation.
• The role ensures alignment between financial performance and underlying transactional data, identifies revenue leakage, and delivers insights to support business decision-making across a complex transactional product environment.

Job Responsibilities

• Analyse large, complex datasets across multiple transactional products and revenue streams to understand performance drivers and trends at a granular level
• Perform detailed trend, variance, and anomaly analysis to identify movements in revenue, isolate root causes, and highlight risks and opportunities impacting financial
• performance
• Proactively identify, investigate, and resolve revenue leakage, missed billing, and pricing inconsistencies, ensuring all revenue due is accurately recognised and collected 
• Reconcile general ledger outputs to underlying transactional and product-level data, ensuring completeness, accuracy, and alignment between financial reporting and
• operational drivers
• Prepare and review budgets, forecasts, and financial reports, incorporating data-driven insights and ensuring alignment to business strategy and performance expectations
• Provide clear, concise, and actionable insights, explanations, and recommendations to stakeholders, translating complex data into meaningful commercial narratives
• Engage cross-functionally with finance, product, operations, and technology teams to investigate anomalies, validate data, and resolve discrepancies effectively
• Drive enhancements in processes, reporting frameworks, and data utilisation, improving efficiency, accuracy, and the overall quality of financial insight generated
• Take ownership of improving visibility into revenue performance and drivers, enabling more proactive and informed decision-making across the business
• Provide guidance, support, and coaching within the team, ensuring high standards of analytical rigour, attention to detail, and delivery excellence

Essential Qualifications - NQF Level

• Professional Qualifications/Honour’s Degree

Preferred Qualification

• Chartered Accountant

Minimum Experience Level

• 5+ years post-articles experience (CA) or equivalent, within financial management, FP&A, or commercial finance roles.
• Proven experience working in data-intensive, analytical environments, with the ability to interrogate large datasets, perform trend and variance analysis, and identify anomalies impacting financial performance.
• Demonstrated capability in revenue or commercial finance, including analysing revenue drivers (pricing vs volume), identifying revenue leakage, and resolving financial discrepancies across complex product sets.
• Strong track record of reconciling general ledger outputs to underlying transactional or operational data, and translating insights into clear, actionable recommendations that support business decision-making.
• Experience engaging with cross-functional stakeholders to investigate issues, improve processes, and enhance overall business performance. 

Preferred Experience

• Experience within banking, or highly data-driven environments will be advantageous.

Technical / Professional Knowledge

• Banking procedures
• Business Acumen
• Cluster specific operations
• Data analysis
• Governance, Risk and Controls
• Industry trends
• Relevant regulatory knowledge
• Relevant software and systems knowledge
• Remuneration policies and principles
• Research methodology

Closing date: 15 August 2026