At a Glance
- Tasks: Develop innovative AI-driven tools for risk analytics in a dynamic insurance environment.
- Company: Join Starr, a fast-growing global insurance and investment organisation.
- Benefits: Enjoy competitive salary, inclusive culture, and top-notch training opportunities.
- Other info: Be part of a diverse team committed to growth and innovation.
- Why this job: Make a real impact with cutting-edge technology in risk management.
- Qualifications: Strong software development skills, especially in Python and full-stack frameworks.
The predicted salary is between 59400 - 72600 £ per year.
Overview
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).
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 Fast API/Flask/Django, along with full‑stack development using React, Java Script/Type Script, 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 (Git Hub), CI/CD pipelines, automated testing (Py Test/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
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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Exposure Risk Analytics Engineer — AI‑Driven Tools in London employer: Starr
Starr is an excellent employer that prioritises employee growth and development, offering a supportive work culture where learning is at the forefront. With a hybrid working model, employees enjoy the flexibility of working from home while also benefiting from in-person collaboration three days a week. The company fosters a positive environment for professional advancement, making it an ideal place for those looking to make a meaningful impact in their careers.
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We think you need these skills to ace Exposure Risk Analytics Engineer — AI‑Driven Tools in London
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