Exposure Management Analyst
Department: Exposure Management
Employment Type: Permanent - Full Time
Location: London
Description
Supports the exposure management function through data preparation, model execution, and reporting assistance. The ideal candidate will possess the ability to gain a strong understanding of the technical architecture and inner workings of catastrophe modelling tools, including the ability to interpret and work with underlying model logic and data structures. Proficiency in relevant computer languages is essential to support the ongoing development and enhancement of our terrorism modelling tools.
Role Responsibilities
- Non-Nat Cat Exposure Monitoring: Maintains exposure data and supports daily monitoring activities.
- Regulatory & Internal Reporting: Assists in compiling data for internal and external reporting.
- Catastrophe Modelling Oversight: Runs standard model scenarios and compiles outputs.
- Data Quality Assurance: Conducts routine data validation and supports data integrity checks.
- Managing Outsourcing: Tracks outsourced deliverables and escalates issues as needed.
- Stakeholder Communication: Shares exposure data and findings with senior team members and business units.
- Improve workflows: Ability to identify and implement opportunities to improve efficiency across workflows and processes
Technical Knowledge & Interpersonal Skills
- Bachelor’s degree in a relevant field such Computer Science, Software Engineering, Data Science / Data Analytics, Mathematics / Applied Mathematics, Physics, Engineering (especially Systems or Computational Engineering), Statistics, Artificial Intelligence / Machine Learning.
- Familiar with Excel, Python, R studio or any other relevant software to be able to support data validation and reporting tasks.
- Strong attention to detail, eagerness to learn, and ability to follow structured processes.
- Bachelor’s degree in a relevant field such Computer Science, Software Engineering, Data Science / Data Analytics, Mathematics / Applied Mathematics, Physics, Engineering (especially Systems or Computational Engineering), Statistics, Artificial Intelligence / Machine Learning.
- Familiar with Excel, Python, R studio or any other relevant software to be able to support data validation and reporting tasks.
- Strong attention to detail, eagerness to learn, and ability to follow structured processes.
The Lancashire Way
At Lancashire, we believe our culture sets us apart. The way we behave and approach our work day-to-day is what makes us unique and creates a positive experience for our people, business partners and other stakeholders. Honesty and integrity in all we do is a given and The Lancashire Way reflects our true character and spirit.
Straight-talking
We feel empowered to share thoughts and ideas, because everyone’s voice matters.
Collaborative
We work together towards common goals, share knowledge and support each other.
Hard-working
We all have a stake in the company’s success and are proactive in contributing to our goals and vision.
Responsible
We focus on achieving tangible results with consistent standards across the Group.
Positive
We engage with brokers, clients, communities, stakeholders and colleagues professionally and passionately as proud ambassadors of Lancashire.
