Responsibilities :

• Loss cost modelling and building raters for digital products
• Work with stakeholders to define the scope of the project, determine analyses to be performed, manage deliverables against timelines, present of results and implement the model
• Develop models that help with solving the problem at hand
• Stay abreast of the developments in the rapidly changing field of machine learning
• Handle stakeholder requests and perform work with little to no assistance
• Gain deeper understanding of Chubb’s business and various products

Requirements :

• At least 2 years of work experience in insurance pricing
• Sound understanding of ML concepts – Probabilistic Models, Supervised vs Unsupervised Learning, Ensemble Techniques and Hyperparameter Optimization; Strong experience in developing machine learning models.
• 1-5 years programming experience in Python, including Numpy, Scipy, Pandas, Matplotlib and other machine learning libraries (or equivalent platforms)
• Able to work in a team setting to understand problems and map out solutions; Having strong problem solving skills
• Adept at research and looking to apply new methodologies
• Strong communication and presentation skills
• An advanced degree in data science, business analytics, computer science, statistics, mathematics or economics