Chubb is the world’s largest publicly traded property and casualty insurer. With operations in 54 countries, 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. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally.
Job Summary
This position offers the opportunity to leverage the entire spectrum of analytics tools towards solving a wide variety of business problems. The focus is on applying a combination of industry standard practices and innovative ideas using structured and unstructured data from multiple sources and applying AI, machine learning and statistical techniques to build, evaluate and implement models. Our team focus’ on creating analytical solutions that solve real world business problems for all lines of business. Analytics empowered technology platforms are changing the way we operationalize model outputs at Chubb. This role will work closely with engineering teams to deploy models as APIs into various cutting-edge platforms. This is a great opportunity to create analytic solutions for multiple lines of business, deepening your insurance product knowledge.
Responsibilities
- Collaborate with business partners and peers in the organization to understand and scope the problem, gather business requirements, and plan projects tasks and timelines.
- Partner with Product Owners and other data scientists to drive technical execution of modeling projects (from scoping, model development & review to implementation).
- Execute all aspects of analytics initiatives including exploratory data analysis, machine learning model development, model evaluation and benefit estimation.
- Build modeling frameworks that can be leveraged for multiple projects. High focus on code reproducibility and creating generalizable technology assets for analytics teams.
- Create excellent working relationships with business partners across the Chubb organization, IT and analytics peer groups.
- Effectively communicate results in written, oral and presentation formats.
- Monitor performance of models and report findings to leadership.
- 7+ years analytics background with programming experience in Python or R required.
- 3+ years experience with loss cost model projects for a P&C business unit
- Experienced with development and implementation of machine learning and statistical models.
- Experience hosting machine learning models as APIs preferred (i.e. experience with Docker, MLFlow, or Flask)
- Collaboration, knowledge sharing and keeping up to date on emerging industry trends.
- Passion for solving business problems through analytics.
- A good understanding of databases and approaches to extracting data.
- Desire to work in a fast passed, team-oriented environment.
Education
- Bachelor’s or Master’s degree in a computational science or statistical field preferred.
At Chubb we are committed to providing equal employment opportunities to all employees and applicants. It is our policy to provide equal employment opportunities to employees and applicants based on job-related qualifications and ability to perform a job. If you require an accommodation during the hiring process or upon hire, please inform Human Resources. If a selected applicant requests accommodation during the recruitment process, Chubb will consult with the applicant in order to provide suitable accommodation that takes into account the applicant’s accessibility needs.