Arbol is hiring a
Quantitative Staff Engineer

Summary

Arbol is seeking an experienced Python quantitative developer with at least 7 years of experience in general CS knowledge, Python, quantitative development, numpy, pandas, and cloud computing (preferably AWS). The role requires task ownership, building, testing, deploying, and maintaining algorithms for pricing and risk management, and working with the insurance and derivatives teams. Arbol offers competitive compensation, equity in a high-growth startup, health benefits, 401(k) match, and 20 days of PTO.

Requirements

• 7+ years of experience with general CS knowledge and tools: version control, design patterns, CI, various testing approaches, coding environment setup on different platforms, package managers
• 7+ years experience using Python
• 5+ years experience in quantitative development
• 4+ years experience using numpy, pandas
• 3+ years in finance (commodities is preferred)
• 3+ years with cloud computing (AWS is preferred)

Responsibilities

• Build, test, deploy, and maintain algorithms for pricing and risk management
• Work with Arbol’s insurance and derivatives teams to perform business-critical analytics

Preferred Qualifications

Experience with ML/DL python frameworks like TensorFlow or PyTorch is a plus

Benefits

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