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Actuary - ai & analytics (gallicano nel lazio)

Gallicano nel Lazio
Octo Telematics
Pubblicato il 17 marzo
Descrizione

About OCTOMassimizzi le sue possibilità di successo assicurandosi che il suo CV e le sue competenze corrispondano ai requisiti di questa posizione.Octo Telematics is a global leader in telematics and advanced data analytics, providing innovative solutions for the insurance, fleet, and mobility markets. Leveraging IoT, big data, and AI, Octo enables smarter risk management, operational efficiency, and new product development across the connected mobility ecosystem.Role OverviewWe are seeking a talented and motivated Actuary to join our AI & Analytics Group. In this role, you will be responsible for the design, development, and validation of innovative risk scoring products for the insurance, fleet, and sharing mobility markets. You will collaborate closely with product teams to define and execute the product roadmap and support the sales organization with technical expertise during client engagements and solution presentations.Key ResponsibilitiesDevelop and enhance actuarial models and algorithms for risk scoring, leveraging Octo's proprietary telematics data and advanced analytics platforms.Collaborate with data scientists, AI specialists, and product managers to design and implement predictive models and risk assessment tools for insurance, fleet, and sharing products.Analyze large datasets from connected vehicles and IoT sensors to identify risk factors, behavioral patterns, and trends relevant to underwriting, pricing, and claims management.Support the product team in defining requirements, prioritizing features, and ensuring actuarial rigor in the development of new solutions.Provide actuarial expertise and data-driven insights to the sales team, assisting in the preparation of technical documentation, client proposals, and product demonstrations.Stay up to date with regulatory requirements, industry best practices, and emerging technologies in actuarial science, AI, and telematics.Document methodologies, assumptions, and model performance to ensure transparen

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