Catastrophe Risk Data Automation and Reporting Developer Job at Social Value Portal Ltd (London)

Job Description

This role is within the Exposure Management team dedicated to catastrophe risk management for Beazley's Cyber Risks and Speciality Risks divisions. The role will enhance the efficiency, accuracy, and scalability of reporting and data processes across the business. The position focuses on modernising reporting pipelines, automating manual workflows, and ensuring the consistent and reliable production of critical management and regulatory information. The postholder will combine technical coding expertise with an understanding of insurance exposure data to deliver robust, long-term solutions.

Job Responsibility

Work alongside Exposure Management Analysts to update, streamline, and optimise reporting processes using modern coding practices, tooling, and programming languages
Design, build, automate, and maintain the production of Management Information (MI), ensuring outputs are accurate, timely, repeatable, and scalable
Develop automated data transformation routines, dashboards, and reporting feeds using tools such as SQL, R, Power BI, or Python (if applicable)
Build solutions for how Exposure Management data is presented, consumed, and integrated with other functions (e.g., pricing tools, underwriting systems, capital modelling)
Create reusable code modules, templates, and documentation to support consistent development standards across the team
Review and enhance internal processes for regulatory submissions, including (but not limited to) Lloyd's Realistic Disaster Scenarios (RDS) and Lloyd's RDS/RDL returns
Identify opportunities for automation, data quality improvement, and improved auditability within regulatory reporting
Ensure processes align with good practices in accuracy, validation, and governance
Train colleagues on processes and contribute to the upskilling of Exposure Management colleagues in data automation and reporting
Work collaboratively with underwriting support functions (claims, risk, data management) to source, validate, and integrate data where required
Partner with IT on system upgrades, technology migrations, process redesigns, and testing to ensure seamless adoption of new Exposure Management systems
Collaborate with Beazley IT Architecture to design and implement long-term, scalable technical solutions for reporting, data storage, and process automation
Support central Exposure Management on ad-hoc analytical projects, process reviews, and data investigations
Contribute to building strong data governance practices and improving data quality across Exposure Management
Develop monitoring and validation checks within automated processes to maintain accuracy and consistency
Ensure technical solutions are well-documented, tested, and maintainable for future use

Requirements

Educated to A-Level or equivalent
Degree in a relevant discipline preferred but not essential
Actuarial background is advantageous but not required
Strong numerical ability with excellent attention to detail and accuracy
Effective verbal and written communication skills, able to explain technical concepts to non-technical audiences
Strong time-management skills with the ability to manage competing priorities
Ability to work independently as well as collaboratively in a team environment
Problem-solving mindset with the ability to analyse issues and develop practical solutions
Previous insurance experience, ideally within exposure management, analytics
Strong technical skills, including advanced Excel and SQL coding/programming experience
Other coding/programming experience desirable (e.g., VBA, R, Python, Power BI)
Experience in process automation, data manipulation, and report production desirable
Understanding of catastrophe modelling, exposure data, or Lloyd's reporting frameworks beneficial but not essential
Self-motivated and proactive with a passion for continuous improvement
Flexible and enthusiastic, able to adapt to evolving business needs
Professional, reliable, and committed to delivering high-quality outputs
Accuracy & attention to detail
Self-starter mentality
Delivery speed balanced with quality
Effective teamwork
Strong organisational and time management skills

Nice to have

Degree in a relevant discipline preferred but not essential
Actuarial background is advantageous but not required
Other coding/programming experience desirable (e.g., VBA, R, Python, Power BI)
Experience in process automation, data manipulation, and report production desirable
Understanding of catastrophe modelling, exposure data, or Lloyd's reporting frameworks beneficial but not essential

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Catastrophe Risk Data Automation and Reporting Developer

Job Description

Job Responsibility

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