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
Code Quality & 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 selection

What You'll Need

Required Work Experience
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
Required 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
Required Soft Skills
Strong analytical and problem-solving abilities
Excellent communication skills and ability to work effectively with cross-functional teams
Self-motivated with ability to work independently and manage multiple priorities
Attention to detail and commitment to code qualityPassion for continuous learning and professional growth

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

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.