Description: * Bachelor's degree in fields such as Statistics, Mathematics, Engineering, Computer Science, Physics, Economics, or related disciplines; * Solid experience in statistical modeling and machine learning; * Proficiency in programming languages for data analysis, such as Python and SQL; * Excellent communication skills to clearly and concisely present ideas and interact effectively with diverse audiences; * Collaborative mindset and ability to work well in teams within a dynamic environment; * Solution-oriented, capable of identifying and implementing practical and efficient approaches; Preferred Qualifications: Experience with data visualization tools, knowledge of GCP, prior experience in modeling projects, or familiarity with products in the Property & Casualty and Life insurance domains. * Build, validate, and monitor risk models; * Collaborate closely with the Pricing team to support pricing of RE and Life insurance products; * Research and apply new metrics and modeling techniques to keep our methodologies up-to-date and effective; * Participate in the full model lifecycle—from conception through implementation—ensuring proper application and successful delivery of solutions. 2512060202191906984