Junior Pricing Analyst

Summary

Join Arbol, a global climate risk coverage platform, and contribute to a team that quantifies and prices climate and weather risk using proprietary risk frameworks. This role involves using Python (Pandas and Numpy) for data analysis, communication of pricing details, and collaboration with various teams. The ideal candidate possesses a background in Finance and/or Meteorology/Climate Science, along with experience in Python and time series data analysis. Arbol offers competitive compensation, equity, comprehensive health benefits, 401k matching, and paid time off.

Requirements

• 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
• Willingness to work and learn in a fast-paced environment

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 to other stakeholders within the firm
• Exploratory data analysis of pricing-related data
• Weather data cleaning, reconciliation, augmentation, imputation and pre-processing

Preferred Qualifications

• 1-2 years of experience in a data analyst, quantitative analyst, or related role
• Any experience in time series analysis of weather and climate data
• Interest in climate science and finance

Benefits

• Competitive compensation and equity in a high-growth startup
• Comprehensive health, dental, and vision coverage
• An optional flexible spending account (FSA) to support your health
• A 401(k) match to support your future
• 20 days of PTO for you to relax and recharge