Senior Catastrophe Modelling Production Engineer

Location: Hybrid working, with ~2 days a week in London
Hours: Flexible / Part Time / Full Time Start date: ASAP

Renew-Risk, a pioneer in developing catastrophe models for offshore wind farms, is seeking a seasoned Senior Catastrophe Modelling Production Engineer. This role is pivotal in the development, optimization, and quality assurance of our catastrophe modelling software, with a particular focus on data optimization and storage. We are open to discussing both full-time and part-time arrangements for this position.

Responsibilities:

• Develop and maintain efficient, scalable Python code for our catastrophe modelling software.
• Productionalize code, ensuring it is ready for deployment and use in a production environment.
• Perform QA engineering tasks, including testing and debugging of programs, and managing bug fixes.
• Work with Cloud providers (AWS and Azure) and container orchestration to manage our software infrastructure.
• Optimize data storage and management within our catastrophe models.
• Collaborate with other team members to understand user requirements and provide technical solutions.
• Prepare technical documentation related to the software and its development process.
• Coach junior team members and participate in all phases of the software development lifecycle.
• Implement software enhancements and suggest improvements to meet customer needs.

Requirements:

• Solid experience as a Python Developer, preferably in a senior role.
• Experience with Python frameworks (e.g., Django, Flask, Pandas, Numpy).
• Knowledge of Git, WSL, and other tools for version control and environment resolution.
• Familiarity with Cloud providers (AWS and Azure) and container orchestration.
• Experience with Data operations (data storage types, databases, data lakes, data frames, databases and SQL for data optimization and storage).
• Experience in data QA and deployment.
• Proven experience in QA engineering and productionalization of code.
• Attention to detail and good problem-solving skills.
• Leadership skills and experience coaching junior team members.
• BSc in Computer Science, Engineering, or a relevant field.

This role is an excellent opportunity for a seasoned Python developer with a passion for catastrophe modelling and the insurance sector. If you are ready to contribute to the world's first and best company developing catastrophe models for offshore wind farms, we would love to hear from you.

Please note that this job description is not exhaustive, and the role might change slightly based on business needs.

Python Developer

Location: London or Remote (UK, India) Hours: Full Time Start date: ASAP

Renew-Risk is a B2B Fintech/Insurtech SaaS provider offering solutions to enhance renewable energy assets' financing, planning, and insurance processes. We seek a Python Developer to maintain and develop our engineering and data-science-driven workflows. This role is pivotal in the development, optimization, and quality assurance of our software, with a particular focus on Python workflows.

Responsibilities:

• Maintain and develop Python workflows.
• Develop functions, calculations, visualizations, tools as needed within the engineering & data-science-driven workflows.
• Implement testing.
• Collaborate with other team members to understand user requirements and provide technical solutions.
• Implement software enhancements and suggest improvements to meet customer needs.
• Regular meetings with lead developer, to keep work on-spec.
• Improve existing in-house workflow tools and implement new ones.

Requirements: Essential:

• Proficiency in Python (Pandas, Numpy).
• Strong communication skills, with experience working in a team.
• Highly numerate and logical – strong mathematical/ statistical knowledge is necessary. Good to have:
• Experience with Jupyter notebooks.
• Familiarity with SQL, R.
• Knowledge of Git, WSL, and other version control and environment resolution tools.
• Understanding of SOLID software engineering design principles.
• Experience with Test-driven development (TDD).
• Familiarity with Linux, bash.

Qualifications:

• Bachelor's degree in Computer Science, Software Engineering, or a related field. Equivalent practical experience will also be considered.

This role is an excellent opportunity for a Python developer with a passion for fintech and climate-tech software. If you are ready to contribute to a pioneering company developing solutions for renewable energy assets, we would love to hear from you.

Please note that this job description is not exhaustive, and the role might change slightly based on business needs.

Catastrophe Model Development Lead

Location: London, UK or Remote (UK) Job Type: Full Time

Renew Risk is a pioneer in providing deep-science and data-science-driven B2B SaaS solutions for improving the financial lifecycle of large renewable energy assets. Our products cater to financial planning, banking, and renewable energy insurance, starting from Offshore Wind Farms and extending to Onshore wind, Hydrogen, etc. Our target clients are insurers, bankers, offshore wind farm developers, and asset managers who need our pricing and risk management product. We are a well-funded London-based start-up with a global client base.

Job Description:

We are seeking an experienced Catastrophe Model Development Lead to join our team. The successful candidate will be responsible for leading the development of our catastrophe models. This role is both internally facing (hands-on modelling and managing/supporting a team of model and software developers), and externally facing (presenting the model and results to clients as-needed).

Key Responsibilities:

• Lead team of model and software developers to deliver catastrophe models, as well as alternative analytics solutions for non-natural catastrophe losses.
• Create a narrative based on the modelling data and other sources to effectively provide a valuable summary of a certain risk and give advice to Underwriters on the strengths and weaknesses of both the data and the model’s ability to provide meaningful results. This includes translating the concept of uncertainty.
• Conduct research and development to inform required model updates or new features.
• Project management of development work.
• Build capability by sharing knowledge and experience with more junior team members.
• Collaborate with academic and industry partners.
• Present technical solutions to clients in a digestible format.
• Attend and speak at conferences and/or market events to represent our company and its interests.

Requirements:

• Specialism in one or more of Earthquake, hurricane, winter storm is preferred.
• Significant experience within an analytical environment in a commercial role with a focus on catastrophe model development.
• Proven track record of catastrophe model calibration, validation, and/or development as well as interpretation of loss estimates.
• Knowledge of insurance and reinsurance terms and business.
• Strong project management, delivery and execution skills.
• Effective communication techniques applied external client meetings.
• Demonstrated ability to work under pressure, multi-task and prioritise project work.
• At least a Masters’ degree in engineering, geophysical sciences or related fields.
• Working knowledge of Python (Pandas, Numpy).

Advantageous:

• SQL, R, GIS.
• Understanding of the business and regulatory context of modelling processes.
• Understanding of the physics of natural catastrophes (earthquake, hurricane, extra-tropical cyclones, etc.).
• Experience in vendor catastrophe model evaluation and adjustment.
• GIS software experience (ArcGIS, QGIS).

Interpersonal Skills:

• Shows initiative and able to work on own or as part of a multi-disciplinary team.
• Enjoys being challenged and a motivation to continue to improve.
• Outside the box problem solving, particularly for making the best decisions as quickly as possible.
• Passionate and proactive.
• An interest in sustainability and green energy.

Benefits:

• Market Salary with Stock Options.
• Industry (Lloyds of London) exposure with travel to best conferences to demo the product.
• Co-author industry-leading technical papers.

This role is an excellent opportunity for someone with a passion for catastrophe modelling and the insurance sector. If you are ready to contribute to the world's first and best company developing catastrophe models for offshore wind farms, and if you are excited about taking on a leading role within a startup environment, then we would love to hear from you.

Please note that this job description is not exhaustive, and the role might change slightly based on business needs.

Catastrophe Model Developer

Location: London, UK (Global model development mandate); Hybrid working model Hours: Full Time Start date: ASAP

Renew Risk is a pioneer in providing deep-science and data-science-driven B2B SaaS solutions for improving the financial lifecycle of large renewable energy assets. Our products cater to financial planning, banking, and renewable energy insurance, starting from Offshore Wind Farms and extending to Onshore wind, Hydrogen, etc. Our target clients are insurers, bankers, offshore wind farm developers, and asset managers who need our pricing and risk management product. We are a well-funded London-based start-up with a global client base. Website: https://www.renew-risk.com

Role Overview:

We are seeking a Catastrophe Model Developer to play a pivotal role in the development, communication, and quality assurance of our catastrophe models. The successful candidate will work closely with our team to develop production-grade codebases supporting the models’ backend modules, engage in quality assurance processes, and provide technical advice to our clients.

Key Responsibilities:

• Develop and maintain catastrophe models for peril risk quantification.
• Work across the full suite of model components (exposure, hazard, vulnerability) and calibration as needed.
• Develop production-grade codebases supporting the models’ backend modules.
• Engage in and improve the quality assurance process.
• Support the development of model documentation.
• Run catastrophe models for clients and communicate results effectively.
• Create narratives based on the modelling data to provide a valuable summary of a certain risk.
• Drive process change by overhauling existing processes and implementing methodologies that streamline workflow and processes.
• Offer guidance to other team members.
• Opportunity to work with large datasets, and loss data, to derive non-Nat Cat loss estimates.

Requirements:

Essential:

• A minimum of a Master’s degree in engineering, geophysical sciences, or related fields.
• Knowledge of atmospheric sciences, seismology, hydrology, and/or engineering practices relating to natural catastrophes.
• Proficiency in Python (pandas, numpy).
• Previous experience evaluating and/or working with vendor catastrophe models.
• Experience working with GIS software, such as ArcGIS and QGIS.
• Highly numerate and logical – strong mathematical/ statistical knowledge is a must.
• Ability to manipulate large data sets in Excel and SQL.

Desirable:

• Familiarity with the use of catastrophe modelling platforms.
• Familiarity with insurance financial terminology.
• Actuarial experience/training would be advantageous
• Understanding of the commercial and regulatory environment in which modelling takes place.
• An interest in sustainability and green energy.

Interpersonal Skills:

• Shows initiative and able to work on own or as part of a multi-disciplinary team.
• Enjoys being challenged and a motivation to continue to improve.
• Passionate and proactive.
• Excellent problem-solving skills.

This role is an excellent opportunity for someone passionate about catastrophe modelling and the insurance sector. If you are ready to contribute to the world's first and best company developing catastrophe models for offshore wind farms, and if you are excited about working in a startup environment, then we would love to hear from you.

Please note that this job description is not exhaustive, and the role might change slightly based on business needs.