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The purpose of the analytics team is to create business value by providing tools and insights that enhance decision making and strategy across the organisation. You will work closely with business stakeholders to translate strategic challenges into clearly defined analytical questions and deliver robust, insight-led solutions. Your primary focus will be on researching and developing new approaches, techniques and data sources to enhance analytical capability, strengthen existing solutions, and differentiate Beazley’s offering in the market
Job Responsibility
Work collaboratively with business teams and analytics colleagues to develop analysis, tools and insights that inform strategy and improve decision making
Research and develop innovative approaches to address problems and opportunities across underwriting, claims, analytics and pricing
Partner with external data providers to evaluate and unlock value from new datasets, metrics and rating factors
Lead initiatives to embed successful innovations into scalable tools, models and business processes
Bring together cross-functional teams (data science, data engineering and business stakeholders) to deliver high-quality, scalable solutions that maximise business value
Contribute to the development of frameworks and pipelines that ensure analytics outputs are robust, repeatable and integrated into business processes
Work with the data organisation to ensure clear, consistent data requirements and avoid duplication, rework or fragmented outputs
Maintain strong engagement with stakeholders, supporting understanding and adoption of analytics, and promoting effective use of outputs
Build and maintain effective working relationships across key stakeholder groups, maintaining continuous feedback loops
Support team delivery by contributing to broader objectives and providing guidance to team members
Mentor and develop junior colleagues to build technical capability and strengthen team performance
Act as a trusted technical advisor to underwriters and management on pricing analytics and related topics
Stay informed of industry developments, emerging techniques and regulatory changes
Maintain professional development, including actuarial CPD and relevant technical training
Requirements
Qualified actuary (FIA, FCAS or equivalent) or similar with relevant insurance experience
Proven ability to apply actuarial and/or data science techniques to deliver commercially impactful insights
Experience translating business problems into analytical solutions that influence decision making
Strong programming capability (e.g. Python, R, SQL) and experience working with complex datasets
Track record of delivering end-to-end analytical work, from concept through to implementation
Ability to work effectively across business and technical teams, including senior stakeholders
Strong communication skills, with the ability to explain technical concepts clearly
Commercially focused, with the ability to manage multiple priorities in a fast-paced environment
University degree in Mathematics or related field
Actuarial qualification (FIA, FCAS or equivalent)
Strong commercial awareness and financial acumen
Proficient in MS Excel, VBA, SQL, R, Python and Power BI
Excellent analytical capability with strong attention to detail and accuracy
Clear and effective verbal and written communication skills
Able to work independently while contributing effectively as part of a team
Strong organisational skills, with the ability to manage multiple priorities and meet deadlines
Actuarial experience within the insurance industry
pricing experience preferred, though reserving or capital backgrounds are also relevant
Strong grounding in actuarial techniques
Understanding of reinsurance concepts
Outcome-focused, self-motivated, adaptable and delivery-oriented
Credible and confident, with the ability to influence senior stakeholders
Strong communication skills
Excellent stakeholder management and relationship-building
Strong focus on delivering business value and impact
Analytical and structured thinking
High levels of ownership, integrity and accountability
Attention to detail balanced with a pragmatic, solution-oriented mindset
Innovative and continuously seeking improvement
Nice to have
Familiarity with the Lloyd's market
Exposure to data science techniques
Experience managing or developing others
What we offer
Discretionary performance related annual bonus
Private medical insurance coverage for both you and your dependents
Company paid life assurance and long term disability insurance
Pension with 10% employer contribution, plus a further matched contribution up to 2.5%
25 days of annual leave (prorated for 1st calendar year of employment), plus public holidays, with the ability to flex the religious bank holidays to suit your religious beliefs
Additional annual leave purchase up to a maximum of five additional days per year
Up to 2.5 days matched paid leave for volunteering at a charity of your choice and 5 days paid leave to provide or arrange care for a dependent with a long term care need annually
Up to £550 reimbursement towards home office setup
Free in-office lunch and monthly lifestyle allowance
Monthly travel allowance or annual season ticket
Opportunity to save for, and purchase, shares of Beazley stock
Six months fully paid parental leave, regardless of how you come to parenthood
Company paid sabbatical up to 12 weeks after 10 years of continued service
Support with exam/study leave and fees for relevant qualifications related to furthering education