Quantitative Consultant in Risk Management - Financial Services EMEIA FSO, Zurich

ppIn a world that’s changing faster than ever, our purpose acts as our ‘North Star’ guiding our more than 300,000 people – providing the context and meaning for the work we do every day. In doing so, we play a critical role in bbuilding a better working world /b for our people, clients and communities. Thanks to our innovative services in auditing, tax consulting as well as transaction and management consulting, we proudly lead our clients into the future. As the only one of the Big 4 with a specialist cross-border practice dedicated to the bFinancial Services /b Sector, we offer our clients seamless, consistent and high-quality services around the globe. Our bConsulting /b business offers a broad range of functional and cross-country services dedicated to providing high-value and trusted advice to clients, with a specific focus on business transformation programs in the Financial Services industry. /p h3What you can expect – enriching experiences that will last a lifetime /h3 ul liConsulting engagements where you will support our clients (financial institutions ranging from leading global market players to more regional focused institutions) in financial risk management related challenges ranging from the review or development of firm wide quantitative models for measuring various risks like market risk, credit risk, operational and fraud related risks to the valuation of complex derivatives incl. applying advanced analytics /li liSupport audit mandates where you will support our audit teams in the areas of the valuation of financial products and contracts / physical assets and validation of all kind of risk related models /li liDeveloping your technical and social skills in particular through internal and external training opportunities incl. obtaining professional degrees like GARP ERP or FRM /li /ul h3What you can contribute – skills for shaping the future /h3 ul liA Master of Science or PhD in a quantitative field (mathematics, physics, statistics, financial or computational engineering, econometrics) /li liA strong interest in financial risk management and/or applying advanced analytical methods like machine learning in the financial risk management world /li liGood knowledge of programming or DB languages like VBA, Matlab, Python SQL, R and C # (or other) allowing you to analyze data, implement quantitative algorithms and develop solutions /li liGood knowledge of a development environment and experience implementing predictive models and machine learning is a plus /li liFluent in German and English /li liExcellent interpersonal and communication skills and the ability to demonstrate initiative and a flexible working style within a multi-national team /li /ul /p #J-18808-Ljbffr