MSc Law & Finance '26, Oxford
CFA · CKA · FMVA · FRM
Latest Publications
About

Founder of AfriScore. I build credit intelligence, financial infrastructure, and quantitative risk models for emerging African markets.
Why Africa? Because 300 million adults are credit-invisible. 68% of the population uses mobile money, yet fewer than 34% have a bank account. The opportunity to build financial infrastructure from first principles—using alternative data, machine learning, and mobile rails—is the defining challenge of this generation.
I hold a Master of Science in Law and Finance from the University of Oxford, complemented by training in financial engineering at WorldQuant University distance learning and quantitative research methodologies.
My research spans capital markets regulation, systemic finance, AI applications in financial infrastructure, fintech and regtech systems, and quantitative approaches to investment and risk analysis in emerging markets.
Sep 2025 – Aug 2026
University of Oxford
Master of Science in Law and Finance · Keble College
Oct 2025 – Oct 2027
WorldQuant University
Master of Science in Financial Engineering · Distance Learning
Sep 2022 – Aug 2025
University of London
Online Bachelor of Science in Mathematics and Economics · First Class Honours
Oct 2022 – Sep 2025
Catholic University of Central Africa
Bachelor of Laws · First Class
Jan 2024 – Present
Founder · AfriScore
Credit intelligence and financial inclusion across African markets.
Jan 2026 – Present
Investment Committee Member · Oxford Seed Fund
Evaluating early-stage ventures across fintech, AI, and financial infrastructure.
Oct 2025 – May 2026
Quantitative Research Fellow · CUHK Centre for Financial Engineering
Quantitative risk modeling, portfolio optimization, financial machine learning.
Jun 2025 – Aug 2025
Legal Assistant - Regulation & Legal Affairs · Representation of CEMAC in Cameroon
Led the team that drafted the revised agreement between OHADA and the CEMAC Commission.
May 2023 – Feb 2025
Economic Policy Analyst · Nkafu Policy Institute
Researched and analyzed economic and monetary policies around the OHADA and CEMAC sub-region.
Google Professional Machine Learning Engineer
Google · Jun 2026
Certified Kubernetes Administrator
Linux Foundation · Jun 2026
CFA Levels I & II Passed
CFA Institute · Jul 2026
FRM Part I Passed
Global Association of Risk Professionals · Feb 2026
Solicitor of the Senior Courts of England and Wales
Solicitors Regulation Authority · Jan 2026
Financial Modeling & Valuation Analyst
Corporate Finance Institute · Apr 2026
Research
Comprehensive research hubs that define my work. Each pillar is a living document—updated with new papers, data, and frameworks as the field evolves.
AfriScore
An AI-powered credit scoring platform built for mobile-first, data-scarce, and regulatorily fragmented markets. We turn mobile money transaction data into accurate, explainable credit risk assessments.
300 million African adults are credit-invisible. Traditional credit bureau coverage remains below 5% in most sub-Saharan countries. Mobile money penetration is 68%. The data exists — it's just not being used for credit assessment. AfriScore changes that.
Ensemble machine learning combining XGBoost, Random Forest, and logistic regression. 200+ features extracted from mobile money transaction histories, utility payments, and social graph data.
Out-of-sample predictive accuracy
SHAP values for every credit decision. We don't just return a score — we explain why. This ensures fairness, regulatory compliance, and trust with borrowers and lenders.
Of scores include explanation
Validated on 50,000 mobile money users across Kenya, Uganda, and Nigeria. 40% of previously credit-invisible individuals scored above viable lending thresholds.
Newly credit-qualified population
Publications
Published research, working papers, and essays on financial regulation, systemic risk, and capital markets in emerging economies.
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Speaking
I speak on financial infrastructure, quantitative methods, African market development, and the intersection of law and technology.
Available for keynotes, panels, and guest lectures. In-person or virtual.
Get in Touch →Projects
Open-source systems built for correctness under adversarial conditions. Property-tested, fuzzed, benchmarked.
Media
Photos, videos, and milestones from my academic and professional path.
Book
African financial infrastructure is the world's most overlooked financial system. With 300 million credit-invisible adults, 68% mobile money penetration, and a $100B+ credit gap, the continent is building financial rails from first principles — not from Western templates.
This book examines how African markets are redesigning credit, payments, and regulatory frameworks for mobile-first populations, data-scarce environments, and fragmented jurisdictions. It draws lessons for fintech, regtech, and financial infrastructure globally.
From the rise of mobile money as a settlement layer to the development of alternative-data credit scoring models, African financial infrastructure offers a blueprint for financial inclusion that the rest of the world is only beginning to discover.
Now
A snapshot of my current priorities, updated every few months. Inspired by Derek Sivers' Now page movement.
Last updated: July 2026
AfriScore — Refining the alternative-data credit scoring engine. Running validation trials with a microfinance partner in Kenya. The ensemble model is demonstrating strong predictive accuracy on out-of-sample data.
JQ.AI — Open-source legal AI platform for African jurisdictions. Expanding coverage to include more OHADA and ECOWAS legal instruments and improving the 4-stage citation verification system.
MSc Law & Finance — Oxford — Writing my dissertation on algorithmic trading regulation and systemic risk in OHADA jurisdictions.
MSc Financial Engineering — WorldQuant University — Advanced stochastic calculus, derivatives pricing, and portfolio optimization.
The Order of Time — Carlo Rovelli
Debt: The First 5,000 Years — David Graeber (re-read)
The Technological Society — Jacques Ellul
Principles of Corporate Finance — Brealey, Myers, Allen
Reinforcement Learning: An Introduction — Sutton & Barto
Reading
Books that have shaped my thinking on finance, law, systems, and philosophy. Affiliate links support my work at no cost to you.
Investing
Investor at Oxford Seed Fund. I evaluate early-stage ventures across fintech, AI, and financial infrastructure — with a particular focus on emerging markets and Africa.
The most undervalued opportunity in technology today is financial infrastructure for emerging markets — specifically Africa. 300 million credit-invisible adults. 68% mobile money penetration against 34% bank account penetration. A $100B+ credit gap. The rails are being built now, and the companies building them will define the next two decades of African economic development.
I invest in founders who understand that African markets require infrastructure built from first principles — not Western products with localised interfaces. The winners will be those who build for mobile money rails, fragmented regulatory environments, and data-scarce conditions.
Domain depth — founders who have lived the problem. Not tourists. Not "Africa enthusiasts." People who understand the market microstructure because they've operated in it.
Technical defensibility — not just a wrapper around an LLM or a mobile money API. Real infrastructure. Proprietary data, novel models, or network effects that compound.
Regulatory sophistication — operating across OHADA jurisdictions, ECOWAS, or EAC requires understanding the legal architecture. Founders who see regulation as a moat, not an obstacle.
Capital efficiency — the best African startups I've seen generate revenue before raising. They understand that capital is a tool, not a business model.
Store
Tools and templates for analysts, founders, and finance professionals. Instant download. No DRM.
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