Chubb is a world leader in insurance. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. As an underwriting company, we assess, assume and manage risk with insight and discipline. We service and pay our claims fairly and promptly. The company is also defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index. Chubb maintains executive offices in Zurich, New York, London, Paris and other locations, and employs approximately 40,000 people worldwide. Additional information can be found at: www.chubb.com.
Chubb celebrates diversity by fostering an inclusive, flexible and equitable workplace. We support applications from all members of our community and equitable access to our employment opportunities. We are open to discussing workplace flexibility in all our vacancies, to ensure we can attract the best candidates and accommodate individual needs, differences, disabilities and working arrangements. Please let us know if you require any adjustments to the recruitment process so we can support you to present your best self.

YOUR SKILLS & EXPERIENCE

• Bachelor’s or Master’s degree in Data Science, Mathematics, Computer Science, Statistics, Engineering, Actuarial Science, or a related quantitative field.
• Strong experience (7+ years) in advanced analytics, predictive modeling, and machine learning techniques.
• Strong grasp of machine learning principles, including supervised and unsupervised learning, natural language processing (NLP), text analytics, and deep learning techniques
• Proficiency in Python programming; familiarity with PySpark is desirable.
• Experience with Databricks, GenAI, and MLOps is a plus.
• Proficiency in Agile frameworks (e.g., Scrum, Kanban) to manage analytics projects and deliver iterative.
• Hands-on end-to-end digital product management lifecycle experience, preferably in insurance industry setting.
• Fluency in data and analytics driven decision making and feedback loops into product development.
• Ability to provide hands-on direction and day-to-day execution ownership in a multidisciplinary team
• Demonstrated ability to think both strategically and tactically; Also, an empathic approach to understand user needs and motivations
• Excellent communication and presentation skills; comfortable in engaging with senior leadership
• Strong self-motivator with a contagious ability to spread energy to team
• Strong analytical and problem-solving skills.
• Ability to work flexible hours in line with off-shore team in India.
  We offer you the opportunity to work as part of a dynamic and agile environment where continuous development is encouraged throughout your career, both locally and globally. We also offer a flexible working approach via our “My One Thing” initiative, education assistance, dress for your day every Friday, promotion of health and wellbeing (including discounted health insurance, daily breakfast and fresh fruit), and the option to enrol into the Chubb Limited discounted stock purchasing scheme.

YOUR ROLE

We are seeking an experienced Product Owner, Advanced Analytics to lead a dynamic team of data scientists. You will be responsible for managing the product lifecycle of analytics initiatives, defining product vision, setting priorities, and driving the development of advanced analytics solutions that provide valuable insights and contribute to our strategic objectives.
This role offers a unique opportunity to influence decision-making processes, drive innovation, and unlock insights that propel our organization forward.

YOUR RESPONSIBILITIES

• Drive the development of advanced analytics strategies aligned with organizational objectives, leveraging cutting-edge techniques and technologies to guide strategic decisions on product development, pricing, underwriting, and claims processes.
• Collaborate with multidisciplinary teams, including IT, operations, UW, and claims, to identify business needs, align analytics initiatives, and translate data-driven insights into actionable recommendations.
• Own end-to-end project management for key analytics initiatives, ensuring timely delivery, effective allocation of resources, and adherence to quality standards.
• Manage and mentor a team of highly skilled data scientists, providing guidance, professional development opportunities.
• Employ agile methodologies to improve project processes, enhance team collaboration, and ensure regular delivery of insights that drive business decisions.
• Develop, prioritize and maintain the product roadmap and squad backlog to drive speed-to-market and business impact.
• Monitor dependencies and risks, and actively work with relevant stakeholders to mitigate or resolve.
• Measure and track performance of key metrics in line with the OKRs; generate insights and feed back into the roadmap and delivery
• Stay updated with the latest advancements in data analytics, machine learning, and predictive modelling techniques, and proactively identify opportunities to leverage emerging technologies and methodologies for continuous improvement.
• Promote the use of advanced analytics and data-driven insights to inform strategic decisions regarding product development, pricing strategies, and risk management within the insurance portfolio.
• Ensure that all analytics initiatives comply with industry regulations and guidelines, including data privacy standards, and participate in audits regarding data usage and analytics practices.