Employer Industry: Climate Risk and FinTech

Why consider this job opportunity:
- Salary up to $115,000 per year, based on experience
- Opportunity for career advancement and growth within a high-growth startup
- Comprehensive health, dental, and vision coverage, along with a 401(k) match
- 20 days of PTO for relaxation and recharging
- Work in a collaborative environment with direct access to C-suite executives
- Encouragement for candidates with non-traditional backgrounds to apply

What to Expect (Job Responsibilities):
- Use Arbol's risk framework (Python) to estimate the uncertainty of weather and climate events
- Communicate pricing details to members of the pricing team and other stakeholders
- Conduct exploratory data analysis of pricing-related data
- Perform weather data cleaning, reconciliation, augmentation, imputation, and pre-processing
- Collaborate closely with insurance, agriculture, and energy teams

What is Required (Qualifications):
- Bachelor's degree in a STEM major (Finance, Meteorology, or Atmospheric Science preferred)
- At least 3 months of related internship experience
- Experience using Python (pandas & numpy) to analyze time series data
- Demonstrated knowledge of descriptive statistics and probability theory
- Strong presentation and communication skills

How to Stand Out (Preferred Qualifications):
- 1-2 years of experience in a data analyst, quantitative analyst, or related role
- Experience in time series analysis of weather and climate data
- Interest in climate science and finance

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