Company Business Unit Strategy, Risk & Transactions Advisory Primary Location Field of interest Finance & Risk Industry Focus Description of the position Cant wait to make an impact on the world? Youre not alone. Join us in driving progress in the working world and beyond. Deloitte Belgiums Financial Risk department helps organizations identify the risks impacting their business and implement effective and efficient processes to measure and manage these risks (mainly market, credit and liquidity risk). To this end, the team leverages its expertise in data analytics, machine learning techniques and process optimization, combined with a strong understanding of the regulatory and business context. As a Senior Modeling Consultant, you will be responsible for developing, validating and implementing advanced mathematical and statistical models to address complex financial and business challenges. The ideal candidate will have a strong academic background, extensive experience in quantitative methods, and a deep understanding of financial instruments and markets. What will you be doing? Model Development : Design and develop quantitative models for risk management, utilizing techniques such as Monte Carlo simulation and machine learning. Model Validation : Conduct rigorous back testing and validation of models, ensuring their robustness and alignment with regulation and market conditions. Data Analysis & Interpretation : Analyze large datasets to identify trends, relationships, and patterns. Work with financial and market data to derive insights for model improvement and validation. Process Optimization : Analyze process workflow and advise on improvements to facilitate experience in model application, maintenance, and internal and regulatory reporting. Research & Innovation : Stay up to date with the latest research in quantitative finance, machine learning, and statistical techniques. Apply new methodologies and tools to improve existing models and develop new strategies. What is your background? You have a Master''s degree in a quantitative field such as Mathematics, Physics, Statistics, Business or Financial Engineering / Economics or Computer Science. You have 3+ years of experience in quantitative modeling and/or validation, preferably in financial services, with hands on experience with programming languages such as Python, R, Matlab or SAS/SQL. Demonstrated understanding of business processes, regulatory requirements, internal control risk management, process, data and technology controls and related standards and frameworks. Quantitative and qualitative problem solving skills, with high capacity for solving challenging business problems. Ability to present complex quantitative concepts and findings in a clear and accessible manner to stakeholders at various levels of technical expertise. Strong analytical thinking and a drive for continuous learning and improvement, tech savvy. Ability to work in a collaborative, team based environment. Flu