Programme overview

Our team work with clients in financial services with regulatory and risk modelling challenges in areas such as market risk and credit risk. We work closely with other areas of the business to bring together the range of quantitative modelling and technical skillsets needed to support our clients’ highly specific and complex requirements.

Data is at the heart of what we do, and technology is the driver for solutions we bring to our clients. We use cloud-based high-processing power platforms to develop data extraction and warehousing solutions, leveraging machine learning and advanced analytics.

What you will be doing

• Working together in a collaborative team environment, where curiosity and questions are encouraged.
• Analysing data to identify trends.
• Developing statistical models to predict things such as credit loss.
• Reviewing and validating models to ensure the accuracy of outputs.
• Performing derivative valuations.
• Translating technical methodologies and findings into digestible information for non-technical audiences.

Requirements

We operate an open access policy, meaning we don’t screen out applications on your academic performance alone. You will, however, need to be working towards an honours degree in Maths, Statistics, Financial Risk, Physics, Economics, Chemistry, Engineering, Computer Science or similar, have a minimum of grade 4/C GCSE (or equivalent) in English Language and Maths, or in your home language if you do not hold English Language GCSE, and three A-levels/Five Highers (or equivalent) to be eligible to apply. Knowledge in SAS, SQL, Python, R or VBA is an added bonus too.