Location: Harare, Zimbabwe
Duration: 3–6 Months (Strong possibility of full-time conversion)
Start Date: Rolling Intake
Application Deadline: Continuous review until position filled
Are you an exceptional attachment-year student or recent graduate driven by numbers, strategy, and predicting future economic outcomes?
Join us: Move beyond theory and apply your analytical skills to real-world financial challenges.
CORE RESPONSIBILITIES
Deal Valuation: Build and stress-test financial models (DCF, IRR, ROI) for live transactions
M&A Analysis: Develop merger models and accretion/dilution forecasts
Profitability Optimisation: Analyse segment-level P&Ls to identify margin drivers
Strategic Storytelling: Transform complex data into executive-ready insights
REQUIRED QUALIFICATIONS
1. Academic Background
Essential: Attachment-year/recent graduate in Data Science, Finance, Actuarial Science, or Applied Mathematics or an other related field.
Preferred: Data Science Economics (Quantitative), Financial Engineering, or Industrial Engineering with finance focus
Asset: Progress toward CFA Level 1/FMVA or financial modeling certifications
2. Technical Expertise
Non-negotiable: Advanced Excel (scenario modeling, XNPV/XIRR), DCF/IRR mastery, basic statistics
Valued: Python/R, Power BI/Tableau exposure
Bonus: Knowledge of term sheets, joint ventures, or Zimbabwean regulatory frameworks
3. Critical Competencies
Analytical Rigor: Deconstruct ambiguous problems into data-driven solutions
Precision: Meticulous approach to financial modeling
Executive Communication: Translate technical analyses into persuasive narratives
Agile Mindset: Thrive in Zimbabwe's dynamic business environment
4. Experience Profile
Top candidates: Finance/consulting internships, case competitions, modeling projects
Secondary: Kaggle, quantitative research, or market analysis roles