Analyst, Country Risk, Sub-Saharan Africa at Fitch Solutions

About the Team

• The Sub-Saharan Africa (SSA) Country Risk team is a dynamic group of six analysts responsible for producing ten-year forecasts across all 49 markets in the region. Our work blends rigorous macro-political analysis with sharp regional insight. Alongside regular written commentary, we engage directly with diverse clients, offering tailored briefings and presentations on everything from long-term growth and fiscal trajectories to topical issues like foreign exchange shortages in Nigeria or security risks in Ethiopia’s gold mining regions.

How You’ll Make an Impact: 

You will:

• Work as part of the Sub-Saharan Africa country risk team, providing regular economic, political risk and financial market analysis and forecasts for a portfolio of countries.
• Write research notes on a daily basis, as well as contributing to monthly and quarterly analysis, producing both country-specific and thematic regional research including economic growth, fiscal & monetary policy, trade, debt dynamics, political risk, financial markets and demographics.
• Work on maintaining and further developing proprietary data sets that add analytical value.
• Work with sales and clients to represent the team and deliver key views and forecasts in a concise and articulate manner during client engagements as well as at industry events.

You May be a Good Fit if:

• You have a degree in economics or a closely related field.
• A relevant background working as a macroeconomic/sovereign risk analyst required, with experience in analytical writing, data management, and forecasting. 

What Would Make You Stand Out: 

• Strong analytical and analytical writing ability, and an entrepreneurial mindset.
• Fluent spoken and written English, other languages beneficial.
• Strong public speaker
• Ability to work with and analyse large data sets and forecast across key macroeconomic indicators, particularly for emerging markets.
• Experience of programming in R/Python and strong skills in quantitative analysis, including data manipulation, statistical modeling, and visualisation.