P€40-€80k /ppbr/ppYou’ll sharpen your analytical skills while gaining hands-on experience in credit risk modelling, working on some of the most complex and high-profile projects in the industry at the intersection of data science and credit risk. This will position you perfectly for future leadership roles in the financial sector. /ppbr/ppYou’ll get the chance to work alongside leading experts, expanding your knowledge of IRB and IFRS9 models, and enhancing your ability to solve data-driven problems. This will make you a sought-after specialist in a field that’s critical to modern finance. /ppbr/ppWith a structured training policy, you’ll have the resources to keep growing. You’ll benefit from internal and external training sessions, expert groups, and mentoring programmes. Plus, you’ll have an annual training budget /ppWhile you’ll primarily be office-based, there’s plenty of scope to work remotely when it suits you. /ppbr/ppWhat you’ll do /ppYou’ll focus on credit risk modelling, developing and validating models under IRB and IFRS9 frameworks. This will include working on regulatory models, stress testing, and credit decisioning, giving you deep exposure to critical financial methodologies. /ppYour work will involve creating sophisticated models that influence major credit decisions, ensuring you build a strong portfolio of technical expertise that will serve you throughout your career. /ppWhat you’ll need /pulliA degree in a quantitative discipline /liliAt least 2 years of experience as a quant/data scientist, within Credit Risk /liliModel development or validation experience (PD, LGD, EAD etc) /liliFluency in at least one programming language such as Python (preferred) or SAS /li /ulpAbout the company /ppAn Independent consultancy with offices worldwide, you’ll be part of a team that delivers innovative concepts and methodologies, working across multiple competencies and breaking down traditional silos. /ppbr/ppYou can also connect with me, Simon Brown on LinkedIn to find out more! /p