Senior Data Scientist (Actuary)
New York City or Remote US
Risk – Quantitative Development /
Full Time /
Remote
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
- Design and implement pricing and risk management algorithms (Python)
- Work with Arbol’s insurance and derivatives teams to perform business-critical analytics
- Present and digest sophisticated analyses for both internal and external stakeholders
What You'll Need
- BA in computer science, statistics, or related quantitative field
- Experience programming in Python
- Comfort with statistics (e.g., regression, hypothesis testing)
- Strong problem solving and analytical skills
- ACAS certification and 2+ years of actuarial experience at an insurer
What's Great to Have
- Software development experience, including coding best practices
- Experience working with time series and/or climate data
$150,000 - $180,000 a year
Candidates for this role must be located in the United States.
