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About

Stephen Omukoko Okoth

Economist, operator, and product builder

LeadAfrik turns African public economics into something readers can actually use. We publish data-driven analysis on the policies and markets that shape African economies, ship transparent decision tools and interactive economic models with every assumption visible, and run a hands-on classroom — a live SQL practice environment, financial-statement walkthroughs, and skills tests with verifiable certificates. Free where it matters. Built in public.

New: Mwalimu AI tutor + Tableau, Power BI, Climate Finance courses →

Education

Oberlin College, Class of 2025

Current work

Research Analyst, Equilar

Markets exposure

Morgan Stanley fixed income

Languages

English and Swahili

Stephen Omukoko Okoth

Chicago, Illinois, and Kenya

Focus area

Public economics

Kenya-focused policy explanation, fiscal analysis, and evidence-based writing that stays accessible.

Focus area

Decision tools

Interactive models that help households and operators reason through tradeoffs in real time.

Focus area

Market infrastructure

Marketplace and workflow products designed to improve trust, discovery, and execution.

Background

Economics training, market exposure, product work.

2025 — present

Research Analyst, Equilar

Executive compensation, governance, and corporate datasets. Chicago.

Summer 2024

Morgan Stanley Fixed Income

Sales, trading & structuring analyst. Reverse-engineered mortgage analytics.

2025

Oberlin College, Class of 2025

Mathematical Economics, honors. Student commencement speaker. Comfort Starr Prize.

2023 — present

LeadAfrik & product studio

Public economics platform plus market products in property ops, addressing, civic reporting, agriculture, and care.

On this platform

Four working surfaces, one platform.

Decide, learn, theorise, or read — without leaving the site. Everything is free, region-aware where it matters, and built in public.

Learn · featured

A real classroom, not a reading list.

A deep, rigorous course catalogue across data analysis, finance, economics, AI, and thinking & communication. Live in-browser practice for SQL, Python, R, Stata, plus the Viz Studio grammar-of-graphics playground. Skills tests with verifiable certificates. Mwalimu — your AI tutor — on every module for premium learners. Eight interactive economic models. Two reference libraries.

Open the learning hub

Finance Explained

Every instrument, plainly.

Mutual funds, hedge funds, ETFs, REITs, T-bills, sukuk, derivatives, SACCOs.

Institutions Atlas

Who runs the money.

CBK, KRA, CMA, NSE, RBA, SASRA, IMF, World Bank, AfDB, AfCFTA, FATF.

From Africa, for the world

Built in Nairobi. Sold globally.

The classroom is anchored in African data and African examples — pension portfolios, budget cycles, Eurobonds, mobile-money flows — because that’s where the most useful new economics of the next decade is being written. But the skills you build here travel.

Certificates are verifiable on the public web. Employers, universities, and other institutions across Africa, Europe, North America, and Asia license seats. To request access, or to discuss a custom workshop or co-branded cohort, get in touch.

Get in touch

Always open to a thoughtful conversation.

Research collaboration, course feedback, missing tools, public-policy questions — write any time.

Replies usually within 48 hours.