Senior Data Scientist (Actuary) job in New York
New York, New York - NY Arbol
Job Ref: | YYbU4IzfKHxt |
Employer: | Arbol |
Sector: |
Risk Management
Reinsurance |
Qualifications: | Part Qualified Actuary |
Software: | Python |
Job Type: | Full Time |
Salary and Benefits: | $150,000 - $180,000 per year |
Remote: | Yes |
Location | |
Country: | United States |
State/Province/County: | New York - NY |
City: | New York |
Post Code: | Not specified |
Map: | |
Description | |
About the Team The Quantitative Research team is responsible for making sense of the terabytes of weather data Arbol has at its disposal and using those insights to drive the business. You'll be joining a team of data scientists, software engineers and meteorologists and will have a unique opportunity to impact many levels of the firm, such as pricing and product development. This is an ideal position for someone interested in applying their statistical skills to weather insurance while taking a deep dive into the parametric insurance industry. About the Role Arbol is seeking a Senior Data Scientist to join our Quantitative Research team. In this role, you'll serve as a generalist data scientist, working on a variety of projects including developing pricing algorithms, creating risk management tools, and identifying potential new products through data analysis. This position requires strong technical skills alongside a keen business acumen developed through collaboration with other teams. We seek candidates with experience in data science and statistical analysis who are eager to take ownership of key projects. Because you will be periodically interacting with traditional insurers, some actuarial experience is required (though this is not the focus of the role). What You'll Be Doing
What You'll Need
What's Great to Have
$150,000 - $180,000 a year Candidates for this role must be located in the United States. |
ref: (YYbU4IzfKHxt) 12 days ago
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