Quantitative Researcher
Quantitative Researcher
Posted on :
09-04-2025
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1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
09-04-2025
Job Description
Arbol is a global climate risk coverage platform and FinTech company offering fullservice solutions for any business looking to analyze and mitigate exposure to climate risk. Arbols products offer parametric coverage which pays out based on objective data triggers rather than subjective assessment of loss. Arbols key differentiator versus traditional InsurTech or climate analytics platforms is the complete ecosystem it has built to address climate risk. This ecosystem includes a massive climate data infrastructure scalable product development automated instant pricing using an artificial intelligence underwriter blockchainpowered operational efficiencies and nontraditional risk capacity bringing capital from noninsurance sources. By combining all these factors Arbol brings scale transparency and efficiency to parametric coverage.
About the Role
In this role you will research develop and implement AI and automation tools for complex insurance operations. You will work with disparate unstructured data sources using the latest LLM vision and agentic models to solve a variety of classification and decisionmaking tasks. This will require exciting technical insights coupled with business understanding gained through interaction with other teams.
We are looking for someone with a quantitative background and an interest in applying that skillset toward businessdriven research problems at the intersection of AI and insurance.
About the Team
The quant team is responsible for making sense of the terabytes of data Arbol has at its disposal. It forms the connective tissue between more clientfacing teams such as sales and backend roles like data engineering. Youll be joining a small team of data scientists engineers and meteorologists and will have a unique opportunity to impact many levels of the firm. This is an ideal position for someone interested in building machine learning systems while taking a deep dive into the insurance industry.
What Youll Be Doing
- Analyze multimodal datasets of texts and images
- Build robust training and validation pipelines for AI models
- Work with operations and insurance teams to automate and deliver businesscritical processes and analytics
What Youll Need
- BA in statistics computer science mathematics or related quantitative field
- Experience programming in Python
- Experience analyzing large unstructured text and image datasets
- Strong problem solving and analytical skills
- Interest in working in a fastpaced highimpact startup environment
Whats Great to Have
- 25 years of experience with automation AI and AI APIs (eg OpenAI)
- Experience working with insurance data and processes (claims underwriting)
- Comfort with statistics (e.g. linear regression hypothesis testing)
$90000 $140000 a year
We are open to accepting candidates of various levels for this role.
Candidates for this role must be located in the United States.
Interested but you dont meet every qualification Please apply!
Arbol values the perspectives and experience of candidates with nontraditional backgrounds and we encourage you to apply even if you do not meet every requirement.
Accessibility
Arbol is committed to accessibility and inclusivity in the hiring process. As part of this commitment we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you require an accommodation to apply or interview please contact
Benefits
Arbol is proud to offer its fulltime employees competitive compensation and equity in a highgrowth startup. Our health benefits include comprehensive health dental and vision coverage and an optional flexible spending account (FSA) to support your health. We offer a 401(k) match to support your future and flexible PTO for you to relax and recharge.
Employment Type
Full-Time
Key Skills
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