OAOlalekan Akinola
Experience & credentials

Olalekan Akinola

Equity research, macroeconomic analysis and Python-driven valuation and risk analytics.

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HFM Nigeria

May 2021 – Present

Market research & financial education

  • Research FX, commodities, equity indices and macroeconomic developments for daily analysis and weekly outlooks.
  • Build a weekly Fundamental Bias Heatmap summarising directional drivers for clients and colleagues across major currencies and other asset classes.
  • Delivered 40+ seminars across 10+ Nigerian states, with more than 5,000 client/trader interactions in the professional record.
  • Produced 15+ YouTube market-analysis sessions and led live briefings and webinars explaining the macroeconomic and technical reasoning behind market views.

Counts are cumulative. No audited heatmap hit-rate or inferred total number of daily sessions is claimed.

Insight Research Institute

2019–2021

Research methodology & data analysis

Helped final-year undergraduate and master’s students develop research methodologies, analyse data using EViews and Stata, and interpret and present actionable findings.

Earlier roles

Flour Mills of Nigeria Plc · Data Entry Representative
March–May 2021 · Operational records and maintenance reporting.

D’branch Professional ICAN Center · Economics Tutor
January–March 2021 · Economics teaching, mock exams and revision plans.

Education

B.Sc. Economics · First Class Honours

Federal University of Agriculture, Abeokuta · Graduated 7 January 2021

Final examinations completed in 2019; project defence and clearance were delayed by COVID-19. Official graduation date: 7 January 2021.

CGPA 4.53 / 5.00. One of seven First Class graduates in a class of approximately 138. Thesis: FDI inflows and employment generation in West Africa.

Credentials

September 2022 · Corporate Finance Institute

Financial Modeling & Valuation Analyst (FMVA)

September 2022 · CFA Institute

Investment Foundations Program

Further training

Python for Finance: Investment Fundamentals & Data Analytics · Udemy, August 2026

SQL for Data Analytics & Business Intelligence · Udemy, November 2024

Economics of Capital Markets · CFI
Financial Instrument Trading: Concepts & Analysis · MSBM, UK

Applied tools

Python: six company studies using pandas, NumPy, Matplotlib and Jupyter.

Excel: formula-driven Ferrari comparable valuation and sensitivity model.

EViews & Stata: research analysis at Insight Research Institute, 2019–2021.

SQL: normalised financial inputs, joins, CTEs and window-function analysis.