Arbol is a global climate risk coverage platform and FinTech company offering full-service solutions for any business looking to analyze and mitigate exposure to climate risk. Arbol’s products offer parametric coverage which pays out based on objective data triggers rather than subjective assessment of loss. Arbol’s key differentiator versus traditional InsurTech or climate analytics platforms is the complete ecosystem it has built to address climate risk. This ecosystem includes a massive climate data infrastructure, scalable product development, automated, instant pricing using an artificial intelligence underwriter, blockchain-powered operational efficiencies, and non-traditional risk capacity bringing capital from non-insurance sources. By combining all these factors, Arbol brings scale, transparency, and efficiency to parametric coverage.

Arbol's Engineering team is seeking a Quantitative Python Engineer to help build the tools that support our innovative approach to climate risk and financial services. The ideal candidate will have a strong background in Python development, particularly with data-focused libraries like NumPy and Pandas, and a background in financial services, trading, or risk management.

You’ll work on designing and implementing new features and building tools that directly support the business. We're looking for someone who can think critically, work autonomously, and communicate effectively across all of our teams. You'll collaborate with quants, traders, and product teams to deliver impactful solutions, contribute to architecture decisions, and help drive best practices across the engineering organization.

Ideal candidates will bring at least three years of professional Python experience, a solid understanding of the software development lifecycle, and a genuine enthusiasm for learning and innovation.

What You'll Be Doing Application Development Design and implement new features for Arbol's risk management tools and trading platforms

Build and maintain Python libraries and frameworks used across the organization

Develop APIs and microservices that integrate with external data providers and internal systems

Create tools and applications for traders, risk managers, and senior management

Build, test, deploy and maintain algorithms for pricing and risk management

Work with Arbol’s insurance and derivatives teams to perform business-critical analytics

Writing Quality Code & Following Best Practices Write clean, testable, and well-documented code following industry standards

Implement and maintain automated testing suites using modern testing frameworks

Participate in code reviews and contribute to technical architecture decisions

Champion best practices in software development and design patterns

Collaboration & Innovation Work closely with quantitative researchers, traders, and risk management teams

Collaborate with cross-functional teams to understand business requirements

Contribute to technical roadmap planning and technology selections

What You'll Need

• Background in financial services, trading, or risk management
• 3+ years of professional Python development experience required
• 1+ years of hands-on experience with NumPy, Pandas, and the Python data ecosystem
• Strong experience building production applications and systems
• Solid understanding of software development lifecycle and agile methodologies
• Experience with version control systems (Git) and collaborative development workflows

Technical Skills

• Expert-level Python programming with deep knowledge of language features and best practices
• Strong familiarity with Python frameworks and open-source libraries
• Knowledge of PEP 8 and Python coding standards
• Experience with testing frameworks (pytest, unittest) and test-driven development (TDD)
• Understanding of database systems and data modeling concepts
• Knowledge of software design patterns and clean code principles

What's Great To Have

• Computer Science degree or equivalent practical experience
• Experience as a Machine Learning Engineer or Quantitative Developer
• Knowledge of financial markets and instruments
• Familiarity with cloud platforms (AWS) and modern development tools
• Experience with ML/DL python frameworks like TensorFlow or PyTorch is a plus

Candidates for this role must be located in the United States.

Essential Job Functions & Physical Requirements Ability to sit for extended periods of time while working at a computer, with or without reasonable accommodation

Ability to use a computer, keyboard, mouse, and standard office equipment (e.g., phone, printer, scanner)

Ability to view a computer screen for prolonged periods, with or without reasonable accommodation

Ability to communicate effectively in person, by phone, and via email

Ability to occasionally stand, walk, bend, and reach within an office environment

Ability to lift and/or move up to 10–15 pounds occasionally (e.g., office supplies, files), with or without reasonable accommodation

Ability to perform repetitive motions, such as typing or data entry

Ability to maintain focus and attention while performing detailed tasks

Interested, but you don’t meet every qualification? Please apply! Arbol values the perspectives and experience of candidates with non-traditional backgrounds and we encourage you to apply even if you do not meet every requirement.

Accessibility Arbol is committed to accessibility and inclusivity in the hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you require an accommodation to apply or interview, please contact hr@arbol.io

Benefits Arbol is proud to offer its full-time employees competitive compensation and equity in a high-growth startup. Our health benefits include comprehensive health, dental, and vision coverage, and an optional flexible spending account (FSA) to support your health. We offer a 401(k) match to support your future, and flexible PTO for you to relax and recharge.

Equal Opportunity Employer Arbol is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, veteran status, or any other legally protected status.

Arbol participates in the E-Verify program to confirm employment eligibility. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.