Finance Transformation Manager — M-KOPA

Finance Transformation Manager - (Finance Engineering & AI) -M-KOPA

(This is not a traditional Finance Transformation role. We're looking for a technical builder who wants to apply engineering, automation, data and AI to finance.)

You've built systems, automated processes, solved technical problems, or turned complex data into something that works better.

Now imagine applying that thinking to finance.

We're looking for someone who sees reconciliation, reporting, planning, data and financial systems asproblems to engineer, not simply processes to manage.

You might come from software engineering, data, automation, consulting, ERP, fintech or another technical environment. You don't need to have spent your career in Finance. What matters is that you'vebuilt something real, solved a real problem and can show us how you did it.

We'd rather hire a strong technical builder who can learn Finance than a traditional finance professional who has never built anything.

Where this sits

M-KOPAis one of Africa's fastest-growing fintechs, now serving7 million customersacross five markets and having unlocked over$2 billion in credit.

Our Finance function runs on Microsoft Dynamics and Anaplan, increasingly supported by AI tools such as Claude, and we're reaching a point where the opportunity is bigger than simply improving existing processes.

We need to make our finance infrastructuremore intelligent, automated, reliable and scalable.

That's where you come in.

You'll sit inside Finance, but operate with an engineering mindset — understanding how our systems, data, processes and controls fit together, identifying where they break down, and building better ways of working.

Why now?

We've grown from 5 million customers to 7 million, with 10 million next in view.

That scale creates increasingly complex challenges across reconciliation, reporting, planning, data integrity, systems integration and financial operations.

We don't want to solve those challenges by simply adding more people to existing processes.

We want toengineer the processes differently.

If a reconciliation takes two days, your instinct should be to ask:

Why does it take two days? What data is missing? What can be integrated? What can be automated? What can be validated automatically? What should a person actually be doing?

If Dynamics and Anaplan produce different numbers, you shouldn't be satisfied with identifying the variance. You should want to understand the underlying data flow, identify the root cause and help fix the system.

If reporting requires repeated manual intervention, you should be thinking about how to redesign the workflow.

And if AI can remove hours of repetitive work, you should be asking how to deploy it safely and effectively — with the right controls and human oversight.

What makes this different

Most Finance Transformation roles are designed for finance professionals who have developed strong technology skills.

We're approaching it from the other direction.

We're looking for someone with strong technical capability who wants Finance to be their domain.

That could mean you're:
* A software, data, automation or AI engineer who has built production solutions and wants to apply those skills in Finance.
A software, data, automation or AI engineer who has built production solutions and wants to apply those skills in Finance.
* A technology or transformation consultant who has designed and implemented systems for clients and enjoys solving complex operational problems.
A technology or transformation consultant who has designed and implemented systems for clients and enjoys solving complex operational problems.
* A Dynamics/ERP functional consultant who can go beyond configuration and has demonstrated the ability to build, automate or work with data.
A Dynamics/ERP functional consultant who can go beyond configuration and has demonstrated the ability to build, automate or work with data.
* A fintech or scale-up engineer who has worked close to Finance and automated areas such as close, reconciliation, reporting or financial data pipelines.
A fintech or scale-up engineer who has worked close to Finance and automated areas such as close, reconciliation, reporting or financial data pipelines.
* A Power Platform, automation or AI builder who has turned manual processes into working solutions.
A Power Platform, automation or AI builder who has turned manual processes into working solutions.
* An analytics or data engineer who understands how to make financial data reliable, structured and useful.
An analytics or data engineer who understands how to make financial data reliable, structured and useful.

The common denominator isn't your previous job title. It's what you've built.

What we're looking for

1. You build things

You have hands-on experience creating something that solved a real problem.

It could be:
* An automation

An automation
* An AI/GenAI workflow

An AI/GenAI workflow
* An internal tool

An inter