michaelfaniyiLet’s talk

RISK · ASSURANCE · DATA ANALYTICS

Evidence-led judgement.
Technology-enabled review.

Turning complex financial data and regulatory evidence into clearer risks, stronger controls and better decisions.

I’m Michael Faniyi, a risk, investigations and assurance professional with 8+ years’ experience across regulatory investigations, financial review, controls assessment and data analytics. I combine evidence-led assurance with technology to identify risk, interrogate complex information and make findings useful.

Explore my work Download CV
200+

Federal government staff trained
in data analysis and AI adoption

2 bureaus

Analytical tools adopted across
two investigation bureaus

Days → minutes

Turnaround on selected
routine workflows

01 / SELECTED WORK

Practical tools.
Sharper risk review.

Financial evidence made easier to review.
Patterns that focus investigation.
Processes that support consistent work.

01FINANCIAL ANALYSIS & RISK REVIEW

Risk-based review.
Inside Excel.

An Excel analytics add-in combining financial-ratio analysis, Benford’s Law screening and pattern-based grouping to detect anomalies, support risk-based review and help target investigation.

THE OUTCOMEAdopted by operational teams
across two investigation bureaus.
Behind the work

The challenge

Recurring investigation tasks required repeated financial calculations and manual review of large datasets.

My contribution

I built a reusable Excel add-in for financial analysis, anomaly screening and grouping records with common patterns, helping colleagues prioritise questions and records for investigation.

In practice

The tool is used in the Northern and Southern bureaus, including Abuja and Lagos. Screening highlights records for further investigation; it does not establish wrongdoing.

FINANCIAL ANALYSIS TOOLKITEXCEL ADD-IN
A clearer view.
A better next question.
01Financial ratios
02Anomaly screening
03Pattern grouping

Capability illustration · not a product screenshot

02DATA PREPARATION FOR ASSURANCE

From documents
to review-ready data.

I created Xvert to turn unstructured financial documents into analysis-ready data, including PDF-to-Excel conversion, for review, reconciliation and assurance work.

Behind the work

The challenge

Useful information often arrives in formats that are difficult to analyse. Reformatting it manually slows down the actual investigation.

My contribution

I built a document parsing and extraction tool that reduces manual preparation and makes source information easier to review and reconcile in a spreadsheet. Extracted data still needs checking against the source.

Visit Xvert
OPERATIONAL IMPROVEMENT
DaysMinutes.
Selected routine tasks, redesigned.
03WORKFLOW AUTOMATION

Consistent processes.
Faster turnaround.

Automation for routine memos, objective tracking and data conversion helps improve consistency, traceability and operational efficiency. Selected workflows fell from days to minutes, earning departmental recognition.

Behind the work

The challenge

Everyday administrative and data-preparation tasks could take days, delaying the analytical work that followed.

My contribution

I automated recurring steps in memo preparation, objective tracking and data conversion to make repeat tasks more consistent and progress easier to trace. Selected workflows now take minutes.

Recognition

The department recognised these improvements with an award for operational efficiency.

A SMALL DEMONSTRATION

Find the pattern.
Focus the review.

Different descriptions can refer to the same supplier. Standardising and grouping records can help focus transaction review and reconciliation. Try this simple example.

Illustrative logic with synthetic records. This is a portfolio demonstration, not the Excel add-in or Xvert.

SAMPLE TRANSACTION DATA6 source records
Synthetic supplier transactions
DescriptionReferenceAmount

Inspect the supplier names, then group the matching patterns.

02 / PEOPLE MAKE IT WORK

200+

staff trained.
Practical skills, passed on.

A tool only matters
when people
can use it.

I train federal government staff in data analysis and AI adoption, connecting new capabilities to the work in front of them.

My approach starts with the task: understand the process, identify the repetitive steps, and make the new way of working easier to apply.

01

Understand the work

Start with the actual process and where effort is being lost.

02

Make it practical

Build tools and instruction around everyday tasks.

03

Help people adopt it

Connect technical capability with usable skills and working habits.

03 / RESEARCH & CURIOSITY

Why good ideas
don’t always stick.

My research explores investment risk, trust and institutional design—the incentives and arrangements that shape decisions and cooperation between firms.

Invited to present
University of Groningen, Netherlands

CO-AUTHORED RESEARCH

The Hold-Up Problem as a Barrier to Green Industrial Symbiosis

An Agent-Based Model of Sunk Costs, Trust, and Institutional Design

A NetLogo model examining how investment barriers, market conditions and institutional arrangements affect cooperation between firms.

4,320Simulation runs
6Parameter dimensions
Read the extended abstract

THE PERSON BEHIND THE WORK

Analytical by training.
Practical by instinct.

My background spans regulatory investigations, financial analysis, risk and energy economics. Over eight years in tax administration and regulatory operations have taught me to ask careful questions, test evidence, work through complex financial data and communicate findings clearly.

Alongside this work, I build practical analytical tools and automate repetitive processes. That combination of assurance judgement and technology is what I want to bring to Internal Audit, Risk & Assurance and Regulatory Risk roles.

MSc Energy Studies · University of IbadanBSc Economics · Afe Babalola UniversityAssociate Member · Chartered Institute of TaxationCertified Internal Auditor (CIA) · Examination preparation in progress

INTERNAL AUDIT · RISK & ASSURANCE

Let’s talk
risk & assurance.

mikefaniyi@gmail.com LinkedIn Download my CV

Interested in Internal Audit, Risk & Assurance, Regulatory Risk, Controls Assurance and data-enabled assurance opportunities.