Graduate Credit Risk Modeller

If you enjoy working with data and want to see how quantitative models are used in real lending decisions, this is an opportunity to build your career in credit risk.

We are recruiting for a consulting firm seeking a graduate or early-career analyst to join its modelling team. You will work closely with experienced colleagues on projects for financial services clients, with support as you develop your technical skills.

You do not need previous credit risk experience. The team is looking for strong quantitative ability, practical Python skills and evidence that you can take a project from initial analysis through to a clear conclusion.

You will prepare and analyse datasets, support model development and testing, check and explain results, and contribute to technical documentation. The work may include IFRS 9 models, IRB models, credit scorecards and model validation. You will also have opportunities to join client discussions and learn how to present your findings.

• A BSc or MSc in a quantitative subject such as mathematics, statistics, physics, econometrics, engineering or computer science. An MSc is preferred, and a 2:1 or above is typical.
• Up to one year of professional experience. Final-year students and recent graduates are welcome.
• Python skills you can demonstrate through a dissertation, Git Hub repository, placement or personal project.
• Experience cleaning and analysing data, and communicating what the results mean.
• Curiosity, attention to detail and a willingness to learn.

Knowledge of credit risk, financial services, SQL, pandas or scikit-learn would be helpful, but is not essential.