Chubb's North America Data and Analytics Division is seeking to enable organizational decision making and develop solutions to complex business problems through quantitative data analysis.
Requirements
- Superb programming experience in Python
- Excellent ML modeling skills
- Advanced understanding of predictive and prescriptive analytics and data visualization.
- Data manipulation and feature engineering
- Exploratory data analysis and model development and solution design
- Programming experience in SQL.
- A/B testing experience for quality engineering
Responsibilities
- Provide leadership and oversight to project teams creating advanced statistical models, including commercial insurance pricing models.
- Synthesize data to uncover inherent trends, assess impact of data on business usage, and to make recommendations for improvement
- Research, recommend, and implement statistical and other mathematical methodologies appropriate for the given business problem
- Builds and deploys generalize linear models in support of our pricing modeling efforts for business lines such as homeowners, property, and casualty
- Performs data validation and exploratory data analyses
- Translate analytical findings into relevant business insights
- Collaborate with business partners and peers within the organization to understand and scope the problem, gather business requirements, and develop robust model solutions that drive improvement in key business metrics
Other
- Strong leadership skills to provide guidance and direction to project teams.
- Ability to communicate effectively to both technical and non-technical audiences in written, oral and presentation formats.
- The ability to multi-task, learn new things quickly, and demonstrate excellent problem-solving skills.
- Graduate degrees in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics, Economics or Engineering are preferred.
- Limited expected travel to various work locations for in person collaboration and meetings.
