Modeling Centre of Excellence: Forecasting_ Associate

Associate in the Modeling Centre of Excellence designing, engineering, industrializing, and supporting the Quantitative Framework for planning and forecast processes within the global Commercial & Investment Bank. Responsible for in-depth data analysis and building predictive/explanatory models using statistical and machine learning techniques (e.g., regression, decision trees, ECM, neural networks; regime switching), coding methodologies in R and Python, translating business needs into quantitative analyses, and communicating results to senior stakeholders. Works both independently and collaboratively to partner with peers across the greater CIB and Global Treasury, develops metrics and prototypes to drive business decisions, leads/advises on ad-hoc projects, and documents tools and governance materials (SIT/UAT/Change controls). Strong emphasis on attention to detail, quantitative/analytical abilities, and clear written/verbal communication; ideal candidates have finance/derivatives exposure and solid academic records from reputed universities.