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.
The role
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.
What you’ll bring
Knowledge of credit risk, financial services, SQL, pandas or scikit-learn would be helpful, but is not essential.
To apply, please send your CV and a link to your GitHub profile or a relevant project, if you have one.
Barclay Simpson, trusted experts in Risk jobs and recruitment: https://www.barclaysimpson.com/specialisms/risk-jobs/
An official job listing by Barclay Simpson: https://www.barclaysimpson.com/job/sn-44954/graduate-credit-risk-modeller/
We seek individuals from a diverse talent pool and encourage applicants from underrepresented groups to apply to our vacancies. Our commitment to fair recruitment processes means that we welcome applicants from all backgrounds, regardless of their lived experience or personal characteristics. We also invite applicants who meet most of the listed requirements, even if not all, to apply. If you require any adjustments to the application process, please let us know.
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