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This role focuses on developing modern analytical models to support risk management and financial strategy.
Job Tasks :
- Building statistical and machine learning models for mortgage products (e.g., prepayment / pipeline models)
- Designing behavioral models to assess IRRBB (Interest Rate Risk in the Banking Book)
- Creating tools in Python to test models and analyze the impact of changes
- Collaborating with Financial Engineering and IT teams on the One Treasury Platform
- Participating in projects related to Forecasting, Flow Analytics, and Core Calculations
Requirements :
Academic background in a quantitative field (Mathematics, Data Science, Physics, Engineering)Knowledge of statistics and machine learning algorithmsProficiency in Python (especially for financial computations)At least 3 years of experience in banking analytics (risk modeling, stress testing, forecasting)Strong communication skills with both technical and business stakeholdersNice to have : knowledge of IRRBB, behavioral modeling, financial instruments, and banking productsOffer :
CafeteriaMyBenefit PlatformPrivate Medical CareLife InsuranceNursery care co-financingCorrective glasses reimbursementMultiSportThe offer applies to permanent work.
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Experis to światowy lider rekrutacji specjalistów i kadry zarządzającej w kluczowych obszarach IT. Z nami znajdziesz konkurencyjne oferty zatrudnienia oraz ciekawe projekty IT skierowane zarówno do ekspertów z wieloletnim doświadczeniem, jak i osób, które dopiero zaczynają swoją przygodę w branży IT.We offer recruitment of managers and highly qualified consultants with expertise in IT.Experis is part of ManpowerGroup and has been named one of the world's most ethical companies.