Vhengani Murovhi

About

Early-career financial systems and data analysis practitioner with experience in probabilistic risk models, financial monitoring systems, and analytical dashboards. Strong interest in financial risk infrastructure, quantitative modelling, and data-driven decision systems, with practical experience in Python, SQL, and statistical simulation techniques.

Experience

• Data Analyst
  ALX Academy
  Mar 2025 – Nov 2025
• Software Engineering Job Simulation
  Electronic Arts
  Jan 2025 – Mar 2025

Education

• Micromasters
  Massachusetts Institute of Technology
  Data, Economics and Public Policy · 2026 – 2027
• Introduction to Financial Engineering and Risk Management
  Columbia University
  2025 – 2026
• Computer Science
  Princeton University
  Algorithms, Theory and Machines · 2026 – 2026
• Data Analytics, Data Engineering, Data Science
  ALX Academy South Africa
  2026 – 2026
• Business and Financial Modelling
  Wharton

Skills

• SQL
• CSS
• Data Visualization
• Git
• GitHub
• Python
• Machine Learning
• MySQL
• Matplotlib
• NumPy
• Pandas
• Streamlit
• Financial Modeling
• PostgreSQL
• React
• AWS
• PHP
• Dashboard Development
• Data Pipelines
• Azure
• Monte Carlo Simulation

Projects

• Sovereign Risk Intelligence Platform
  Python, SQL, Data Analytics

  Built a data-driven sovereign risk analytics platform to assess macroeconomic risk across African economies. Designed a composite sovereign risk scoring model, integrated market-implied risk signals, developed interactive dashboards, implemented a Monte Carlo simulation engine, and engineered macroeconomic data pipelines.

• Financial Risk Intelligence Platform
  Python, SQL, Data Analytics

  Designed and developed an integrated financial risk analytics platform combining probabilistic simulations, transaction monitoring, and business performance analytics. Included a Monte Carlo simulation engine, market risk engine, suspicious activity detection, and SME risk and performance dashboards.

• Monte Carlo Simulation Engine
  Statistical Modelling

  Developed and deployed a Monte Carlo simulation engine to model uncertainty and generate probabilistic forecasts of financial outcomes. Features included scenario simulation, probability distribution analysis, volatility estimation, and downside risk exposure analysis.

• Market Risk Engine
  Quantitative Analysis, Financial Risk Modelling, SQL

  Built a quantitative market risk engine to analyze portfolio exposure to market volatility. Simulated price fluctuations, estimated risk distributions, implemented VaR-inspired metrics, and evaluated potential loss scenarios.

Courses & certifications

• Introduction to Financial Engineering and Risk Management · Columbia University · 2026
• Financial Risk Manager (FRM) · Candidate · 2026
• Business and Financial Modelling · Wharton