This is a role within Chaucer’s Reinsurance Pricing team. The Senior Pricing Analyst will provide pricing support primarily for Chaucer’s growing reinsurance (Property, Specialty and Casualty Treaty), Partnership and Cyber portfolios across London and International offices. The Senior Pricing Analyst will work closely with divisional actuaries in the team to balance workload, broaden experience and facilitate consistency of approach.
The Pricing team works closely with underwriting teams to provide individual case pricing support, develop pricing models that allow underwriters to price, compare and monitor accounts, and development of risk and portfolio insight tools to inform business decision-making.
Actuarial study support towards Institute and Faculty of Actuaries qualification will be provided for this role.
Support account pricing and underwriter support for broker and negotiations
Provide support to design, build and enhance Excel-based pricing models and pricing analytics that meet underwriter requirements and incorporate improved insights (in line with Actuarial pricing frameworks and technological solutions platform requirements)
Work collaboratively with underwriters, the pricing team and management across the planning and development process.
Research and develop techniques and approaches to deliver improvements in modelling capabilities, data quality and operational efficiency through model design and use of technology.
Develop strong relationships with underwriting and catastrophe modelling teams to coordinate sharing of best practices
Document new models and provide training
Communicate and present models to business stakeholders
Collaborate, present and share knowledge with the wider Actuarial team
Assistance for other pricing team activities as required
Desire to sit the IFoA exams and become an FIA qualified actuary
London Market pricing experience (ideally reinsurance) would be advantageous
Strong interpersonal, verbal and written skills
Strong analytical skills – logical, methodical and rational approach to problem solving
Comfortable with interpreting and producing numerical data
Able to present findings to key stakeholders
Attention to detail
Self-motivated, hard-working and takes initiative
Organised and clear thinking
Ability to plan and organise work to meet targets and deadlines
Able to collaborate, work as a team and communicate with staff at all levels
Working knowledge of Python / R and SQL
Comprehensive knowledge of Excel and VBA
Part-Qualified Actuary, making good progress through the IFoA exams or equivalent
2.1 or 1st degree in Mathematics or numeric subject (e.g. Physics, Engineering, Statistics)
3 or more ‘A’ levels, including Mathematics
ABOUT US
Chaucer is a leading insurance group at Lloyd’s, the world’s specialist insurance market. We help protect industries around the world from the risks they face. Our customers include major airlines, energy companies, shipping groups, global manufacturers and property groups.
Our headquarters are in London, and we have international offices in Bermuda, Copenhagen, Dubai and Singapore to be closer to our clients across the world. To learn more about us please visit our website.
Chaucer is committed to diversity, actively values difference and respects people regardless of the protected characteristics which are outlined in the Equality Act 2010 (UK legislation) as a result of the Equal Treatment Directive 2006 (EU legislation).
A diverse workforce and an inclusive workplace are core to our success as a business and integral to our winning strategy and culture. We recruit from the widest available pool of talent, and our hiring, assessment and selection process is fair, free from bias and one which ensures we select the right person for the job, based on merit. We are committed to promoting a culture that actively values difference, and recognises that everyone has the right to be treated with dignity and respect throughout their employment.
We are open to considering flexible working arrangements for all roles and encourage you to outline your needs during the interview process.