Senior Financial Manager: Transactional NIR Analysis 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