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Geoffrey Ciamarra is a quantitative analyst specializing in credit risk modeling at Spuerkeess since August 2021. Prior to this role, Geoffrey served as a market and portfolio manager at Foyer Group, where responsibilities included non-life actuarial modeling in Python, tariff adequacy monitoring, and the development of dashboards for profitability reporting. Earlier experience includes working as a data analyst/scientist at PwC Luxembourg, focusing on VAT code prediction models and data automation, as well as an actuarial sciences intern at Groupe Foyer. Geoffrey began the professional journey with an internship in RTBF's Big Data department, analyzing user data for a recommendation engine. Educational qualifications include a Master's degree in Actuarial Sciences from Université catholique de Louvain, a Master's degree in Applied Mathematics from École polytechnique de Louvain, and a Bachelor's degree in Engineering from the same institution.