Prodigy Finance - who are we?

Prodigy Finance is a UK fintech specialist lender which delivers socially responsible financial services. We make it possible for postgraduate students from more than 120 countries to fulfil their dream of studying at the world’s top universities and business schools, whilst delivering competitive financial and social returns to institutional, impact and private investors.

Our borderless and innovative model enables student loan financing across the globe, whilst using predicted earnings after completing an MBA or Master. Since 2007, the Prodigy Finance platform has extended over US$2 billion to fund over 40,000 students.

We are backed by leading global financial institutions including venture capital from Index Ventures, Balderton Capital, and Rand Merchant IH. Our asset-backed debt is funded by, amongst others, Citi, Goldman Sachs, Schroders, the US International Development Finance Corporation and the Canadian Pension Fund Investment Board. Prodigy also issues asset-backed securitisations which have been rated by Moody’s and KBRA.

The company is headquartered in London and has significant operations and headcount in South Africa, India and the USA. India is the largest market where Prodigy’s customers come from, and the USA, by far, its largest destination for universities which customers attend.

What will you do in the role:

The London-based Capital Markets team is responsible for originating and executing the debt market transactions which provide the funds for the student lending business. The range of transactions includes bank warehouse facilities, development bank/agency lending, publicly-rated asset-backed securitisation and social bonds. The team's counterparties include a range of top-tier global investment banks, development banks and agencies, asset managers, credit funds, and family offices, mostly in North American and European markets.

The candidate joining the team will gain a wide range of experience assisting the team and learning about global debt capital markets. This will include:

• Analysis and cash flow modelling of asset-backed financing
• Learning about credit analysis and risk management in the context of a consumer lending portfolio
• Legal structuring and documentation of transactions, including public market securitisation
• Preparation of materials and presentations for a wide range of investors
• Assisting with lender and rating agency due diligence processes
• Learning about investor negotiation and relationship management.

Initially, the role will require the candidate to support other team members and learn from them, and over time, the candidate will take on responsibility as opportunities arise. The role is a fantastic opportunity to learn about all aspects of the funding and capital markets of a growing fintech business.

Qualifications and experience:

• Candidates must be available for full-time work in London from 1 February 2025, and the role requires up to 5 days per week in the office
• Candidates must already have UK residency and permanent permission to work in the UK
• Recent or new graduates from high-ranking universities with a relevant bachelor’s degree, 2.1 or higher, and A*AA at A-Level or equivalent minimum
• Candidates with numeric/quantitative degree subjects such as Math, Economics, Engineering, and Sciences or the highest-achieving Humanities/Arts candidates with demonstrable interest will be given consideration.
• The following experience is highly attractive: previous internships or work experience in the financial services, legal, or tech sectors, plus recent graduates with 1-2 years of experience in financial services should apply.
• Extracurricular activities that demonstrate teamwork, leadership, a business mindset, commercial and ethical awareness, social responsibility, and diligence are critical.

Desirable Skills & Motivation:

• Strong interest in working in debt capital markets and fintech
• Strong interest in impact investing
• Excel, with knowledge of Pivot tables a plus
• Document and presentation skills
• Coding knowledge (Python preferred: pandas, numpy)