Arbol is hiring a
Senior Quantitative Engineer

Summary

Arbol is seeking an experienced Python quantitative developer with at least 5 years of experience in general CS knowledge, Python, quantitative development, numpy, pandas, and cloud computing (preferably AWS). The role involves building, testing, deploying, and maintaining algorithms for pricing and risk management, collaborating with the insurance and derivatives teams, and task ownership.

Requirements

• 5+ 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
• 5+ years experience using Python
• 3+ years experience in quantitative development
• 3+ years experience using numpy, pandas
• 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

• Basic math and probability theory knowledge
• Experience with ML/DL python frameworks like TensorFlow or PyTorch is a plus
• Experience in finance (commodities is preferred)

Benefits

• $140,000 - $160,000 a year
• Salary ranges for this role are for New York City applicants
• Candidates for this role must be located in the United States