Arbol · 2 hours ago
Python Engineer
Arbol is a global climate risk coverage platform and FinTech company focused on mitigating exposure to climate risk. The Quantitative Python Engineer will design and implement features for risk management tools, develop APIs, and collaborate with teams to deliver impactful solutions.
Computer Software
Responsibilities
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
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
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
Qualification
Required
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
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
Preferred
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
Comprehensive health, dental, and vision coverage
Optional flexible spending account (FSA)
401(k) match
Flexible PTO
Company
Arbol
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.
Funding
Current Stage
Growth StageRecent News
2024-05-05
2024-05-03
Crunchbase News
2024-05-03
Company data provided by crunchbase