Description of the role and purpose of the job:

• We have an exciting opportunity to join our Financial Risk Management business unit, since we are looking to fill four positions for Consultants in our Credit Risk & Capital Management team. We are a specialist function within KPMG’s Advisory Practice which has as its main purpose to assist clients with the development and review of often complex statistical models used to quantify financial risks. The Credit Risk & Capital management team is made up of credit risk modellers and analysts from a broad and diverse range of quantitative backgrounds, including mathematics, statistics, engineering and actuarial.
• As a Credit Risk Consultant, you will have a technical specialist role in the development and in the auditing of credit risk models (IFRS9, scorecards, etc.). The role offers exposure to a wide range of modelling techniques used by banks ranging from smaller local credit providers to globally systemically important banks. It also provides access to the latest technologies and developments and you will be able to hone your coding skills in packages like Python, R and SAS.

Key responsibilities:

• Supporting with the development and review of credit risk model both for provisioning and regulatory capital requirement purposes
• Assisting with the coding and automation of financial risk management models

Skills and attributes required for the role:

• Understanding of contemporary statistical techniques and practices in credit risk modelling
• Able to read, interpret and create software code, and ideally some experience with modern computing languages related to credit risk modelling (e.g. SAS, Python, or R)
• Ability to cope with and work under pressure
• Resilient and a team player
• Good presentation and communication skills with ability to articulate quantitative concepts to both technical and non-technical individuals
• Minimum requirements to apply for the role (including qualifications and experience):
• A Hons or Masters degree in a quantitative discipline such as Quantitative Finance, Mathematics, Statistics or equivalent.
• Minimum 1 year of relevant experience within a quantitative credit risk-based role