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.

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.

Finance Manager

Location: London or remote in the UK (if remote, travel to the London office 1x a month will be required). Hours: Full time or part time (3-4 days / week possible), permanent Reports to: CEO / Exec Chair

Renew Risk is a fast-growing scale-up company in the renewables risk intelligence space. We aim to revolutionise risk analytics in renewable energy to accelerate the global transition to a sustainable future. By combining cutting-edge science and engineering with state-of-the-art catastrophe modelling, and strong partnerships, we deliver catastrophe models and risk analytics specifically designed for renewable energy assets.  Our vision is to establish a global ecosystem of risk analytics for renewable energy infrastructure, both offshore and onshore.  

Role Overview:

As the Finance Manager you will be responsible for shaping and scaling the Finance Function of our Company. This role is a great opportunity for someone who wants to take ownership of the end-to-end finance operations from financial planning, cash-flow analysis, budgeting, forecasting, finance operations (management accounts, month end reporting, expenses, client invoicing). Your insights will directly influence business strategy and investor communications.

Key Responsibilities:

1. Financial planning & analysis (FP&A)

• Lead the development and execution of the company’s annual budgeting, quarterly forecasting, and long-term strategic financial planning processes.
• Conduct in-depth analysis of financial and operational performance relative to budget and forecasts, identifying key variances, trends, and risks on a monthly and quarterly basis.
• Build and maintain detailed financial models and present clear, actionable insights to support cross-functional decision-making.
• Oversee short- and long-term cash flow forecasting to ensure financial resilience and strategic flexibility.
• Support fundraising activities by preparing investor-facing financials, maintaining accurate cap tables, and coordinating the collation of due diligence documentation.
• Serve as the primary owner of financial tools and systems, including Xero, overseeing all bookkeeping activities, expense and receipt tracking, payroll coordination, VAT and Corporation Tax submissions, R&D claims, and financial reporting infrastructure.
• Coordinate directly with external accounting firms and legal advisors to ensure regulatory and compliance obligations are met.
• Drive process change by overhauling existing processes and implementing methodologies that streamline workflow and processes.
• Manage all HMRC-related processes in collaboration with external accountants.

2. Management accounts & reporting

• Prepare and maintain accurate and timely monthly management accounts, ensuring integrity in reporting across all financial statements.
• Develop comprehensive reporting packs for use by internal leadership and external stakeholders, including investors and board members.
• Own the end-to-end management reporting function, with an emphasis on reliability, clarity, and actionable insights.
• Provide support to the CEO/Exec Chair, including ad hoc analysis and participation in investor communications and meetings.

3. Corporate operations

• Administer and reconcile high-volume company payments (approximately 100 per month), ensuring accuracy, and appropriate controls.
• Maintain all key corporate documentation, including legal contracts, cap table records, board materials, and governance documentation.
• Oversee the administration of the company’s equity incentive programs, including EMI options, cap table management, and employee communications.
• Partner closely with HR on employee onboarding/offboarding, compensation tracking, and payroll-related matters.
• Collaborate with IT to support the provisioning and management of systems for both staff and customer operations, ensuring operational readiness and compliance.
• Own company invoicing and ownership with customer’s procurement teams

Required qualifications & experience:

• 5-7 years’ experience in a finance role with a diverse range of responsibility in a start-up or high-growth environment. Must be hands on and able to work independently. There are no direct reports for this role. This is an absolute must.
• Bachelor's degree in finance, Accounting or a related field (CIMA, CPA, ACA, preferred).
• Previous experience working in insurance/ capital markets, FinTech, SaaS/DaaS industries
• Strong experience with financial modelling, cash flow forecasting
• Advanced Excel skills; familiarity with financial software (e.g. Xero, QuickBooks, Sage etc.) and financial forecasting software.
• Excellent analytical, communication, and stakeholder management skills.
• High attention to detail.
• Experience with managing payments.

Nice to have:

• Experience with a Series A/B due diligence process
• Exposure to fundraising processes and investor relations.
• Experience in implementing or optimizing finance systems and tools.
• Payroll experience

Company benefits

• Flexibility
• Paid travel to the London Office (if you are not based in a commutable distance to London)
• 25 days holidays + Bank holidays
• Option for term time off
• Company pension
• Private Medical Insurance

Catastrophe Model Developer - SCS Expert

Location: UK or remote Hours: Full time

At Renew Risk, we aim to revolutionise risk analytics in renewable energy to accelerate the global transition to a sustainable future. By combining cutting-edge engineering, state-of-the-art catastrophe modelling, and strong partnerships, we deliver risk analytics specifically designed for renewable energy assets.

Our journey began with building catastrophe models for offshore windfarms across the US, Taiwan, and Japan. Today, we are expanding into new region-perils and renewable energy asset types, including onshore solar and wind. Our vision is to establish a global ecosystem of risk analytics for renewable energy infrastructure, both offshore and onshore.

We are a well-funded London-based startup, having recently closed a major funding round. With established global clients and partners, we are scaling rapidly and aim to triple our headcount in the next two years.

Role Overview:

We are seeking a Catastrophe Model Developer to play a pivotal role in the development, enhancement, and communication of our catastrophe models. The first role will be on our Onshore US Severe Convective Storm (SCS) Models for Solarfarms and Windfarms (including hail, tornado, straight-line wind, lightening), and so candidates with experience of modelling hail and tornado, and/or handling climate reanalysis data etc are preferred. You will work closely with our multidisciplinary team to incorporate cutting-edge science and engineering into our models, with a focus on renewable energy assets. This is a unique opportunity to contribute to innovative catastrophe models tailored specifically for renewable energy infrastructure, helping insurers, developers, and investors manage their risks in the transition to a sustainable future.

Key responsibilities:

1. Model development

• Develop and maintain catastrophe models with a specific focus on renewable energy assets (e.g., offshore/onshore windfarms and solar farms).
• Work across model components: Exposure, Hazard, and Vulnerability, with region-peril focus (e.g., Tropical Cyclones, Earthquakes, Windstorms, Severe Convective Storms).
• The first role will be on our Onshore US SCS Models, and so candidates with a background in this region-peril are preferred, particularly those with experience of modelling hail and tornado, and/or handling climate reanalysis data etc.

2. Technical implementation

• Build and maintain production-grade backend modules (preferably using Python) for catastrophe model components – particularly hail & tornado hazard components.
• Collaborate with the R&D and Engineering teams to incorporate renewable energy-specific engineering insights into vulnerability models (e.g. hail/tornado impacts on solar farms).

3. Validation and quality assurance

• Engage in and improve the model validation process to ensure scientific rigor and market applicability.
• Conduct robust quality assurance checks to deliver high-confidence outputs to clients.

4. Data handling and insights

• Manipulate and analyse large datasets to derive meaningful insights for model calibration and validation (e.g. climate reanalysis data).
• Support the integration of asset-level exposure data into Industry Exposure Databases.

5. Client support and collaboration

• Run catastrophe models for clients and effectively communicate results in terms of risk quantification and actionable insights.
• Create data-driven narratives that support clients in pricing, portfolio optimization, and contingency planning.

6. Process improvement

• Streamline existing workflows and implement new methodologies to enhance model development efficiency.

Required qualifications & experience:

• Deep Knowledge of atmospheric sciences, particularly related to Severe Convective Storms (hail, tornado, straight-line wind, lightning).
• Master’s degree (or higher) in engineering, geophysical sciences, or related fields.
• Proficiency in Python (including libraries such as numpy, pandas, scipy).
• Strong mathematical and statistical knowledge, particularly in the context of modeling and data analysis.
• Experience working with GIS software (e.g., QGIS) for spatial analysis.
• Demonstrated ability to work with large datasets in Python, Excel and SQL.

Desirable:

• Experience of Manipulating atmospheric datasets (NETCDF).
• Experience in Exposure modelling (e.g. Industry Exposure Databases) highly valued.
• Passion for renewable energy and sustainability.
• Familiarity with catastrophe modelling platforms and, ideally, the Oasis Loss Modelling Framework.
• Experience with renewable energy-related datasets (e.g., windfarms, solar farms, or other energy/industrial assets/facilities).
• Understanding of financial loss metrics (e.g., AAL, OEP, AEP) and their application in insurance and reinsurance.
• Knowledge of the commercial and regulatory environment for catastrophe modelling.

Interpersonal skills:

• Initiative-driven and able to work independently or as part of a multidisciplinary team.
• Strong problem-solving abilities and analytical mindset.
• Excellent communication skills to translate technical findings into actionable business insights.
• Passionate and proactive with a drive to contribute to the green-energy transition.

Why join us?

• Be part of the world’s first company to develop catastrophe models specifically for renewable energy assets.
• Work in a dynamic, fast-growing startup environment with opportunities for career advancement.
• Collaborate with world-class clients and partners in the renewable energy and insurance sectors.
• Contribute to meaningful work that supports the global transition to renewable energy.
• Competitive salary and stock options.

This role is an excellent opportunity for someone passionate about catastrophe modelling, renewable energy, and the green-energy transition. If you are ready to join a startup that is reshaping the future of risk analytics, we would love to hear from you. Please note: This job description is not exhaustive and may evolve based on business needs.