Quantitative Python Engineer at Arbol

Arbol is a global FinTech organization dedicated to transforming how businesses analyze and mitigate climate risk. We provide a comprehensive ecosystem that combines massive climate data infrastructure with artificial intelligence, blockchain technology, and non-traditional risk capacity to offer parametric coverage. By replacing subjective loss assessments with objective, data-driven triggers, we bring transparency and efficiency to the insurance and derivatives markets. We are currently seeking a Senior Quantitative Python Engineer to join our remote team and help build the sophisticated tools that power our innovative financial solutions.

Key outcomes

• Design and implement robust features for our risk management tools and trading platforms.
• Develop and maintain scalable APIs and microservices that integrate with internal systems and external data providers.
• Build, test, and deploy algorithms essential for pricing and risk management.
• Collaborate directly with quantitative researchers, traders, and product teams to deliver business-critical analytics.
• Champion high standards of code quality by writing clean, testable code and maintaining automated testing suites.
• Contribute to technical architecture decisions and help define the engineering roadmap.

Requirements

• At least 3 years of professional experience in Python development.
• Minimum of 1 year of hands-on experience utilizing NumPy, Pandas, and the broader Python data ecosystem.
• Professional background within financial services, trading, or risk management.
• Strong proficiency in software design patterns, clean code principles, and the software development lifecycle.
• Experience with Git, agile methodologies, and test-driven development (TDD) practices.
• Excellent communication skills and the ability to work effectively in a remote, cross-functional environment.
• Must be located in the United States.
• Fluency in English.

Preferred qualifications

• A degree in Computer Science or equivalent practical experience.
• Previous experience working as a Quantitative Developer or Machine Learning Engineer.
• Familiarity with cloud platforms such as AWS.
• Experience with machine learning frameworks like PyTorch or TensorFlow.
• Deep knowledge of financial markets and instruments.

Compensation

We offer a competitive compensation package that includes equity in our high-growth company. Our benefits program is designed to support your well-being and long-term success, featuring:

• Comprehensive dental and vision insurance.
• A 401(k) retirement plan with company match.
• Flexible paid time off.
• The flexibility of a fully remote work environment with flexible hours.

How to apply

We believe in the value of diverse perspectives and encourage you to apply even if you do not meet every listed qualification. If you are passionate about building impactful technology at the intersection of climate and finance, we invite you to submit your application. Please note that we are committed to an accessible hiring process; if you require any accommodations, please reach out to our team.