{"schemaVersion":"jobsearcher.job.v1","id":"f19b10002ac8dd35fe2ed4ab","url":"https://jobsearcher.com/jobs/f19b10002ac8dd35fe2ed4ab","canonicalUrl":"https://jobsearcher.com/jobs/f19b10002ac8dd35fe2ed4ab","title":"Remote Python Engineer","description":"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 DoingApplication DevelopmentDesign and implement new features for Arbol's risk management tools and trading platformsBuild and maintain Python libraries and frameworks used across the organizationDevelop APIs and microservices that integrate with external data providers and internal systemsCreate tools and applications for traders, risk managers, and senior managementBuild, test, deploy and maintain algorithms for pricing and risk managementWork with Arbol’s insurance and derivatives teams to perform business-critical analyticsWriting Quality Code & Following Best PracticesWrite clean, testable, and well-documented code following industry standardsImplement and maintain automated testing suites using modern testing frameworksParticipate in code reviews and contribute to technical architecture decisionsChampion best practices in software development and design patternsCollaboration & InnovationWork closely with quantitative researchers, traders, and risk management teamsCollaborate with cross-functional teams to understand business requirementsContribute to technical roadmap planning and technology selectionsWhat You'll NeedBackground in financial services, trading, or risk management3+ years of professional Python development experience required1+ years of hands-on experience with NumPy, Pandas, and the Python data ecosystemStrong experience building production applications and systemsSolid understanding of software development lifecycle and agile methodologiesExperience with version control systems (Git) and collaborative development workflowsTechnical SkillsExpert-level Python programming with deep knowledge of language features and best practicesStrong familiarity with Python frameworks and open-source librariesKnowledge of PEP 8 and Python coding standardsExperience with testing frameworks (pytest, unittest) and test-driven development (TDD)Understanding of database systems and data modeling conceptsKnowledge of software design patterns and clean code principlesWhat's Great to HaveComputer Science degree or equivalent practical experienceExperience as a Machine Learning Engineer or Quantitative DeveloperKnowledge of financial markets and instrumentsFamiliarity with cloud platforms (AWS) and modern development toolsExperience with ML/DL python frameworks like TensorFlow or PyTorch is a plus$140,000 - $180,000 a yearCandidates for this role must be located in the United States.Essential Job Functions & Physical RequirementsAbility to sit for extended periods of time while working at a computer, with or without reasonable accommodationAbility 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 accommodationAbility to communicate effectively in person, by phone, and via emailAbility to occasionally stand, walk, bend, and reach within an office environmentAbility to lift and/or move up to 10–15 pounds occasionally (e.g., office supplies, files), with or without reasonable accommodationAbility to perform repetitive motions, such as typing or data entryAbility to maintain focus and attention while performing detailed tasksInterested, 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. AccessibilityArbol 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 [email protected]BenefitsArbol 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.","company":"Arbol","rawCompany":"arbol","city":"San Diego","state":"CA","isRemote":true,"isActive":false,"createdAt":"2026-06-17T06:35:47.436Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"13-2099.01","title":"Financial Quantitative Analysts","slug":"financial-quantitative-analysts"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"523940","title":"Portfolio Management and Investment Advice","slug":"portfolio-management-and-investment-advice"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Remote Python Engineer","description":"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 DoingApplication DevelopmentDesign and implement new features for Arbol's risk management tools and trading platformsBuild and maintain Python libraries and frameworks used across the organizationDevelop APIs and microservices that integrate with external data providers and internal systemsCreate tools and applications for traders, risk managers, and senior managementBuild, test, deploy and maintain algorithms for pricing and risk managementWork with Arbol’s insurance and derivatives teams to perform business-critical analyticsWriting Quality Code & Following Best PracticesWrite clean, testable, and well-documented code following industry standardsImplement and maintain automated testing suites using modern testing frameworksParticipate in code reviews and contribute to technical architecture decisionsChampion best practices in software development and design patternsCollaboration & InnovationWork closely with quantitative researchers, traders, and risk management teamsCollaborate with cross-functional teams to understand business requirementsContribute to technical roadmap planning and technology selectionsWhat You'll NeedBackground in financial services, trading, or risk management3+ years of professional Python development experience required1+ years of hands-on experience with NumPy, Pandas, and the Python data ecosystemStrong experience building production applications and systemsSolid understanding of software development lifecycle and agile methodologiesExperience with version control systems (Git) and collaborative development workflowsTechnical SkillsExpert-level Python programming with deep knowledge of language features and best practicesStrong familiarity with Python frameworks and open-source librariesKnowledge of PEP 8 and Python coding standardsExperience with testing frameworks (pytest, unittest) and test-driven development (TDD)Understanding of database systems and data modeling conceptsKnowledge of software design patterns and clean code principlesWhat's Great to HaveComputer Science degree or equivalent practical experienceExperience as a Machine Learning Engineer or Quantitative DeveloperKnowledge of financial markets and instrumentsFamiliarity with cloud platforms (AWS) and modern development toolsExperience with ML/DL python frameworks like TensorFlow or PyTorch is a plus$140,000 - $180,000 a yearCandidates for this role must be located in the United States.Essential Job Functions & Physical RequirementsAbility to sit for extended periods of time while working at a computer, with or without reasonable accommodationAbility 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 accommodationAbility to communicate effectively in person, by phone, and via emailAbility to occasionally stand, walk, bend, and reach within an office environmentAbility to lift and/or move up to 10–15 pounds occasionally (e.g., office supplies, files), with or without reasonable accommodationAbility to perform repetitive motions, such as typing or data entryAbility to maintain focus and attention while performing detailed tasksInterested, 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. AccessibilityArbol 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 [email protected]BenefitsArbol 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.","datePosted":"2026-06-17T06:35:47.436Z","dateModified":"2026-06-17T06:35:47.436Z","hiringOrganization":{"@type":"Organization","name":"Arbol","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Diego","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"f19b10002ac8dd35fe2ed4ab"},"url":"https://jobsearcher.com/jobs/f19b10002ac8dd35fe2ed4ab"}}