Company

GallagherSee more

addressAddressLondon, Greater London
CategoryBanking

Job description

About Us:
Join us at Gallagher Re, the trailblazers of the reinsurance world, where every day brings new opportunities to shape the future. We empower our clients with cutting-edge analytics and insights, providing them the confidence to make strategic decisions that transform industries. As a team member, you'll be at the forefront of innovation, translating data into impactful solutions and taking the reins of your career like never before.

We believe that every candidate brings something special to the table, including you! So, even if you feel that you’re close but not an exact match, we encourage you to apply.
Overview:
Join our dynamic Cyber actuarial team as a key team member, providing expert analytical support to brokers and clients across multinational and Lloyd's carriers. This role involves various tasks such as pricing, model building, profitability study, dealing with large data sets, and progressing through actuarial exams. We are seeking a candidate with 1-2 years of experience and a strong interest in learning about the fast-growing field of Cyber insurance.
Responsibilities:
  • Conduct exposure and experience-based pricing for reinsurance.
  • Utilize DFA modeling to investigate the impact of reinsurance structures.
  • Optimize capital efficiency and return through reinsurance structures.
  • Compile, analyze, and present benchmarking data.
  • Contribute to research and development efforts within Cyber insurance.
  • Build effective relationships within the team and other departments.
  • Act as a point of contact for specific tasks/processes.
  • Communicate information clearly through verbal and written channels.
  • Identify efficiencies and process improvements.
  • Demonstrate a clear understanding of the Actuarial department and the wider business.
  • Proactively seek opportunities to develop technical skills and experience.
  • Manage workload effectively and provide progress updates.
  • Develop and automate modeling processes.
  • Contribute to RFPs for reinsurance strategy placements.
  • Participate in strategic reviews of underwriting and reinsurance strategies.
  • Provide thought leadership in benchmarking by line of business.
Qualifications:
  • Strong analytical skills, with proficiency in R or Python.
  • Excellent interpersonal and communication skills.
  • Positive attitude and ability to work collaboratively.
  • Ability to manage competing priorities and anticipate outcomes.
  • Experience in actuarial team preferred but not essential.
  • Bachelor's degree in a numerate/quantitative discipline.
  • Making progress towards IFoA qualification or willingness to complete it.
  • Excellent IT skills, particularly in MS Excel, R, and/or Python.
  • Eligible to work in the UK.
Additional Information:
Gallagher is Disability Confident Committed. We have pledged to make sure our recruitment process is inclusive and accessible, in addition to supporting our existing employees with any long-term health conditions or disabilities.
We understand that applicants may have disabilities, if you do, you may find some parts of the recruitment process more challenging than others. Don’t worry, we’re here to help, however, we can only do this if you let us know.
Should you require any reasonable adjustments with your application, please get in touch with TAGlobalSupport@ajg.com. If you’d prefer to speak on the phone, please request a call back, leaving details, so we get in touch.
Our employing entity, Arthur J. Gallagher Services (UK) Limited, is proud to be accredited as a Living Wage employer with the Living Wage Foundation. We are committed to diversity and opportunity for all and is opposed to any form of less favourable treatment on the grounds of gender or gender identity, marital status, civil partnership status, parental status, race, ethnicity, colour, nationality, disability, sexual orientation, religion/ belief, age and those with caring responsibilities.
If this sounds like somewhere you’d like to join, we'd love to hear from you!
Refer code: 2957492. Gallagher - The previous day - 2024-03-10 05:58

Gallagher

London, Greater London
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