About us
Starr is a global insurance and investment organisation providing property and casualty insurance solutions to business and industry. Starr has grown into one of the world’s fastest‑expanding insurance organisations, writing business in 128 countries across six continents. Our talented and experienced associates manage risk and ultimately support the profitable growth of organisations in a dynamic, competitive and ever-changing marketplace. Join us and become part of our talented and passionate workforce.
Role Purpose
The role sits in the Analytics and MI (AMI) team and leads the development of a suite of innovative tools to track, analyse and manage natural and non natural catastrophe accumulation exposure across the insurance and reinsurance business at Starr.
This role will suit a candidate with a strong development background and with a desire to drive adoption of state of the art AI technologies across the business.
It is a unique opportunity to work in a rapidly evolving and fast-growing environment, where exposure risk management and analytics are at the core of our business.
Key Responsibilities
- Develop robust and flexible web app solutions to service key analytical outputs (exposure, simulated loss, marginal impact) to underwriting stakeholders to enhance risk selection and optimal deployment of capital across multiple lines of business (Property, Delegated Property, Marine and Energy).
- Drive the integration of exposure tooling with the existing data lake architecture, ensuring data is stored and maintained in an appropriate format accessible to the latest AI technologies (e.g. natural language querying, agentic workflows).
- Experiment with open exposure database (OED) data formats to create bespoke financial exposure calculation engines to embed into dashboarding and analytical frameworks.
- Work with other business functions (e.g. Data, Infra, Claims, Underwriting Operations, Active Portfolio Management, Pricing) to ensure Exposure Management outputs can be seamlessly integrated and consumed across the business.
- Support the core Exposure Management team in building out frameworks to reconcile the active book of business to ensure optimum data accuracy and integrity.
- Work closely with the Exposure Management and Data leads to help drive the direction of investment in data augmentation and infrastructure, including support for various ‘POC’ initiatives to enhance the quality and quantity of insured property data (e.g. satellite imagery).
The above duties and responsibilities are not an exhaustive list, and you may be required to undertake other reasonable duties compatible with your experience and competencies. This description may be varied from time to time to reflect changing business requirements.
Qualifications, skills and experience
- Strong experience with software development and solid understanding of scalable architecture, clean code principles, and modern design patterns.
- Strong Python expertise with experience in frameworks such as FastAPI/Flask/Django, along with full-stack development using React, JavaScript/TypeScript, and Node.js for building responsive UI and RESTful APIs.
- Experience in the Lloyd’s/London market at a (re)insurer, software vendor or broker is desirable but not essential.
- Proven use of engineering best practices, including Git-based version control (GitHub), CI/CD pipelines, automated testing (PyTest/Jest), and Agile delivery methodologies.
- Knowledge of Databricks analytics platform is highly desirable – familiarity with Unity Catalogue (UC), Lakehouse and open-source data formats (e.g. delta tables).
Core behavioural competencies
- Analysis and decision making
- Innovation and problem solving
- Performance focus
- Resilience and adaptability
Additional Information
- A full job description can be seen here
Starr is an equal opportunity employer, which means we will consider all suitably qualified applicants regardless of gender identity or expression, ethnic origin, nationality, religion or beliefs, age, sexual orientation, disability status or any other protected characteristic. We recruit and develop our people based on merit and we're committed to creating an inclusive environment for all employees. We offer first class training and development opportunities to all employees. Our aim is to grow our own talent and bring out the best in people.
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