About the role

We are looking for an analyst-in-training to join our Investment Team. This is a hands-on role rather than an observational one: you will sit inside live deal work from week one, screening the companies that reach our desk, building the market and competitor picture behind an investment case, and engaging with existing portfolio companies.

It suits someone early in their career who reads widely, writes clearly, and wants to learn how investment decisions get made rather than how they are described afterwards. You will work directly with the Investment Analysts, Investment Associates, and the Investment Principals across origination, diligence, and portfolio monitoring, and your work will be read by the people making the decisions.

What you'll do

• Screen inbound and sourced companies, and draft first-pass summaries of what they do, the market they sit in, and whether they meet our criteria.

• Build market maps and competitive landscapes across our focus verticals, and keep them current as sectors move.

• Support the Investment Analysts on diligence workstreams: market sizing, competitor benchmarking, comparable company analysis, and reference call notes.

• Help build and sense-check financial models, and pressure-test the assumptions underneath them.

• Contribute research and analysis into screening memos and investment committee materials.

• Track the macroeconomic and sector developments that affect the portfolio and the pipeline, and write them up for the team.

• Keep pipeline records, data rooms, and investment process artefacts accurate and current.

What we're looking for

• A penultimate-year student or recent graduate in Finance, Economics, Accounting, Engineering, or another quantitative discipline, with a very strong academic record.

• Some exposure to investment banking, private equity, venture capital, or similar fields through an internship or other experience.

• Working knowledge of Microsoft 365, especially Microsoft Excel, Microsoft Word, and Microsoft PowerPoint, as well as the beginnings of financial modelling and valuation skill. 

• Real curiosity about African and emerging markets, and a habit of reading beyond what is asked of you.

• Comfort with AI tools, and an interest in using them well inside an investment workflow, is a plus.

• Ownership, attention to detail, and the discretion to handle confidential information.

We assess candidates on merit and welcome applications from all backgrounds.