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Python Software Engineer
2 months ago
About Maximum Information
Maximum Information operates at the forefront of disaster-risk management and catastrophe modelling. Our team comprises experts in natural hazards, data science, and software engineering, all dedicated to enhancing societal resilience against natural disasters.
We believe that accurately quantifying and predicting risk through catastrophe models is crucial for tackling these challenges. These models serve as advanced numerical tools that integrate scientific, statistical, engineering, and economic elements to assess and manage the impacts of natural hazards like hurricanes, earthquakes, and wildfires. While these models are utilized by leading financial institutions, aid organizations, and governments, there remains a significant opportunity to expand their use among various potential user groups.
Our suite of SaaS applications empowers users exposed to catastrophic events to build robust decision-making capabilities, enabling them to mitigate and adapt to risks effectively.
We pride ourselves on our collaborative approach, working closely with non-profit and academic sectors. Our industry-experienced team is committed to developing open-access disaster risk methodologies that are both cost-effective and sustainable, partnering with esteemed organizations.
Your Responsibilities
We are seeking a Python developer based in London to contribute to the development of our Hazard Impact Tracker (HIT) application. You will play a key role in creating innovative risk-transfer products tailored for both private and humanitarian sectors, supported by a grant from Innovate UK. The goal is to enhance societal resilience to disasters while aligning with sustainability objectives for (re)insurers and aid organizations.
Ideally, you will also have a willingness to learn R Shiny, as part of your responsibilities will involve assisting in the development of our flagship application, MagniPhi, which enhances the utility of catastrophe models. This position offers ample opportunities for learning and personal growth, reporting directly to our Chief Technology Officer, an experienced GIS developer. Your daily tasks will include:
- Developing new software features, including the integration of catastrophe risk-related data feeds and structuring decision frameworks.
- Maintaining and refactoring existing code.
- Conducting testing and debugging.
- Managing deployment processes.
Essential Skills & Qualifications
- Proficient in Python, with a focus on data architecture and back-end services.
- Extensive programming experience in creating and managing web APIs.
- Familiarity with version control tools.
- Strong problem-solving, analytical, and troubleshooting abilities.
- Effective communication skills and a collaborative mindset.
- A genuine interest in catastrophe modelling, disaster risk management, and risk-transfer methodologies.
Preferred Skills & Qualifications
- A degree in computer science or software engineering.
- Knowledge of a Python framework.
- Experience with microservices and containerization.
- A proven history of designing and implementing infrastructure.
- Familiarity with scientific and data manipulation libraries in Python, such as Pandas, Numpy, and Xarray.
- Basic understanding of R and Shiny.
- Knowledge of front-end technologies, including JavaScript, HTML5, and CSS3.
- Experience with geospatial datasets.
What We Provide
- Competitive salary starting from £40k.
- Share option package.
- 30 days of holiday plus bank holidays.
- Private health insurance scheme.
Maximum Information is committed to equal opportunity employment and welcomes applicants from diverse backgrounds.
We are currently accepting applications. If you are interested in joining our team, please submit your CV along with a brief explanation of your motivation to work with us. The application process will include a take-home test, a follow-up discussion about your work, and a final interview with the broader team.
