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ArbolAR

Quantitative Python Engineer

The future of climate risk management has arrived. We help businesses across the entire financial system build climate resilience.

Arbol

Employee count: 51-200

Salary: 140k-160k USD

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

About the job

Apply before

Posted on

Job type

Full Time

Experience level

Mid-level
Senior

Salary

Salary: 140k-160k USD

Location requirements

Hiring timezones

United States +/- 0 hours

About Arbol

Learn more about Arbol and their company culture.

View company profile

We bring efficiency, transparency, and scale to climate risk management using data, blockchain and an AI-powered pricing platform.

It starts with data. Ours comes from dClimate

We settle contracts leveraging climate data and models from dClimate, a leading decentralized climate information ecosystem.

We spun out dClimate in early 2021 as a standalone, open-source network that anyone in the world can use to get or share essential information about our planet. The dClimate ecosystem provides data, forecasts, and models on important variables like rainfall, temperature, soil moisture, carbon sequestration, and much more.

We leverage dClimate to retrieve industry-leading, institutional-grade climate data and models sourced from both public and government sources like NOAA, NASA, and the European Space Agency (ESA) as well as industry-leading commercial and private sources for underwriting our parametric coverage products. Everything we do at Arbol is data-driven, which helps us bring scale, transparency, and efficiency to the insurance process while eliminating the usual routine of dealing with mountains of claims paperwork, adjusters, and needless hassles to get paid.

Our risk capacity enables us to write tailored, untraditional solutions that other companies shy away from.

This allows us the agility and speed to rapidly deploy market-leading priced risk solutions for a multitude of products and customizations without having to rely on reinsurers.

We're a global collective of thinkers

Arbol provides clients access to financial climate resilience regardless of their size or location. We were founded in 2018 to combine vast data networks with cutting-edge technologies and risk capital to change the way that climate risk is actively managed throughout our entire financial system. Increasingly frequent and extreme climate events such as hurricanes, droughts, floods, and heatwaves are causing hundreds of billions of dollars in losses annually for businesses and communities.

Only a fraction of these losses are covered by insurance due to antiquated and inefficient processes. As stakeholders around the world begin to think proactively about how to address climate risk across balance sheets and supply chains, our end-to-end risk management ecosystem bringing data, financial products, and risk capital provides solutions for climate challenges across the financial system.

We embrace our unique identities and provide equitable opportunity and rewards for all employees. Inclusive Diversity & Equity is woven into our business and culture.

Integrity

We revere honesty and adhere to high ethical standards to gain the trust and confidence of our customers. We value transparency, encourage disclosing bad news, and welcome disagreement.

Collaboration

We are better together. Collaborating early and often helps us develop the best solutions and leverage employees' collective expertise. We evaluate every option so we can choose the best path forward.

Innovation

We are better together. We leverage our unique strengths and work side-by-side with our customers.

Employee benefits

Learn about the employee benefits and perks provided at Arbol.

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Matching 401k

After your 1st year anniversary, we match your contributions up to 6%.

Company retreats

Being remote makes it hard to hang out and get to know one another. So every now and then we take trips just to get together.

Medical, dental, and vision, 99.99% cove

Yes, you read that correctly. We pay 99.99% of your medical, dental, vision plans so you don’t have to + an optional flexible spending account (FSA) to support your health

Paid holidays and vacation

We support all of ‘em. But don’t let that stop you from taking personal time when you need to. We want you at your best. Always. 20 days of PTO for you to relax and recharge.

View Arbol's employee benefits
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Arbol

Company size

51-200 employees

Founded in

2018

Chief executive officer

Siddhartha Jha

View company profile

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Arbol hiring Quantitative Python Engineer • Remote (Work from Home) | Himalayas