Role Overview

As a Quantitative Research Assistant at Growth & Investment Agencies Ltd, you will provide rigorous statistical and econometric support for our strategic and investment advisory work. You’ll design and execute quantitative analyses, develop forecasting models, and translate data insights into clear, actionable recommendations for clients across African markets.

Key Responsibilities

• Develop and implement statistical and econometric models to forecast market trends, demand, and financial outcomes

• Clean, merge, and validate large datasets from multiple sources (surveys, administrative records, third‑party databases)

• Conduct time‑series, panel‑data, and cross‑sectional analyses using R, Python, or Stata

• Apply machine‑learning techniques—such as regression trees, random forests, and clustering—to segment markets and identify drivers of performance

• Build interactive dashboards and visualizations to communicate analytical findings to non‑technical stakeholders

• Assist in crafting client reports, whitepapers, and presentations that summarize complex quantitative results

• Collaborate with economists, data engineers, and sector specialists to integrate quantitative outputs into broader project deliverables

• Maintain documentation of methodologies, codebases, and data‑analysis workflows

Qualifications

• Master’s degree in Economics, Statistics, Data Science, or a related quantitative discipline

• 1–2 years of experience in quantitative research, econometrics, or data science—ideally in consulting or an academic setting

• Strong proficiency in statistical software and programming languages (R, Python, or Stata)

• Solid understanding of econometric methods: OLS, 2SLS, panel regressions, and time‑series analysis

• Experience with machine‑learning libraries (scikit‑learn, XGBoost) and model‑validation techniques

• Advanced skills in SQL for data extraction and manipulation

• Ability to translate complex quantitative findings into clear narratives and visualizations

• High attention to detail and commitment to reproducible research practices

Preferred Skills & Attributes

• Familiarity with cloud‑based analytics platforms (e.g., AWS SageMaker, GCP AI Platform)

• Experience with data‑visualization tools (Tableau, Power BI, or Plotly)

• Published research or conference presentations in economics, finance, or data science venues

• Knowledge of African economic, financial, or sectoral datasets (e.g., World Bank, national statistical bureaus)

• Strong teamwork and communication skills; able to work effectively with both technical and non‑technical colleagues

Compensation

Salary Range: USD 50,000 – 60,000 per year