Credit Risk Consultant - Financial Services

at  EY

EY is the only major professional services firm with a dedicated financial services practice (EY FSO) integrated in the EMEIA region. An international team of over 16.000 professionals is working across borders for our clients in the financial sector: Banking, Insurance, Payment Institutions and Wealth & Asset Management, in all service lines: Consulting, Tax, Transactions and Assurance. As we consider our people as the heart of EY, we hire and develop the most passionate people in their field to build a better working world. This starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. So that, whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.

SKILLS AND ATTRIBUTES FOR SUCCESS

• Master degree in Physics, Mathematics, Statistics, Computer Science, Engineering or relevant quantitative field;
• Between 2-5 years of relevant professional experience;
• Deep understanding of quantitative modeling techniques, with practical experience in credit risk (IRB, IFRS9);
• Knowledge of some frequently used programming languages (SAS, Python, R, Matlab);
• Strong interest in or some initial experience with machine learning algorithms;
• Proficient level of business English and good communication skills; knowledge of Dutch and/or French is a major asset;
• Team spirit, but self-sufficient and autonomous;
• Pragmatic approach, with the ability to self-motivate and inspire the members of a team;
• Eagerness to learn more about the Financial Services market in Belgium and Europe.

We are looking for a skilled quantitative professional, who may combine working on Belgian and European financial institutions. The ability to drive work forward to a conclusion, to find pragmatic solutions to complex problems and to explain and document them convincingly, are key factors in order to be successful in this role. Typical projects you will be involved in:

• Participate in, and lead Risk engagements, with the focus credit risk modeling, including the link with accounting (e.g. IFRS 9);
• Support banks in preparing for regulatory reviews, or help them mitigate model weaknesses;
• Assist banks in any stage of the model life cycle (developing new models, backtesting, independent validation of credit models, …);
• Explore and exploit the potential of alternative data and machine learning techniques to help financial institutions bring their credit modelling to the next level;
• Investigate the impact of climate risk and ESG aspects in general on credit risk;
• Contribute to the standardization and automation of the model development and model validation process;
• Understand our full range of service offerings and actively identify and develop new opportunities to address emerging client needs.