At a Glance
- Tasks: Join our team to analyse data and drive impactful decisions across various business areas.
- Company: Beazley is a leading insurance company committed to doing the right thing for our customers.
- Benefits: Enjoy a collaborative culture, professional development opportunities, and a focus on innovation.
- Why this job: Make a real impact by enhancing decision-making and strategy through data-driven insights.
- Qualifications: A degree in Mathematics or related field; progress towards actuarial qualification is essential.
- Other info: Work with cutting-edge tools like R, Python, and Power BI in a dynamic team environment.
The predicted salary is between 36000 - 60000 £ per year.
Location: Birmingham
Key Relationships: Underwriters and business managers, Beazley actuaries, Claims managers, Data Management and Ceded Reinsurance teams.
Job Summary: The overarching remit of the Actuarial Analytics team is to create business value by providing tools and insights to enhance decision making and strategy throughout the company. You will work across all our lines of business, devising analytical solutions to solve business problems across each area of Actuarial Analytics – Claims Analytics, Underwriting Analytics, Portfolio Analytics and Innovation.
Key Responsibilities:
- Technical Underwriting Analytics: Drive forward and support the delivery of impactful analytics to the underwriting teams. Develop and enhance line of business specific analysis, tools and insights to support and enhance their strategy and decision making, including portfolio monitoring and optimisation, segmentation and trend analysis, tracking exposure and technical price adequacy, and profitability studies.
- Claims Analytics: Provide support to the underwriting teams, business managers and claims teams as required within the reserving process. Develop tools to better understand new and ongoing trends in the claims environment, allowing us to more quickly identify drivers of losses and respond with effective underwriting action.
- Portfolio Analytics: Support the business planning process and create tools to better understand cross-class performance and market insights, enhancing growth and profitability and giving insights to better manage capital.
- Innovation: Work with stakeholders from across the business to explore new ways to drive profitability. This includes conducting exploratory data analysis, trialling new solutions and building pricing models using actuarial and/or data science based methods.
- Modernisation: Help define Analytics modernisation requirements and embed solutions into processes and tools. Work with the data organisation, underwriters and claims managers to ensure that data requirements are communicated and delivered, such that analysis can be completed seamlessly without creation of silos, rework and multiple versions of the truth. Be proactive in ensuring that the necessary data is captured from underwriting and claims to enhance future modelling capabilities.
- Identify opportunities and deliver improvements in both Analytics and wider business processes & methodologies.
- Build and maintain constructive working arrangements with those groups identified as being key to your role.
- Operate as an effective team member by supporting colleagues and contributing to the delivery and achievement of overall team and business objectives.
- Keep abreast of industry best practice, new initiatives, and changes in regulatory requirements.
- Undertake applicable professional, technical and career development training (delivered internally and externally); this includes maintaining actuarial PPD/CPD.
General: At Beazley we are committed to doing the right thing because it is the right thing to do. It is important that within all your interactions both internally and externally you adhere to this principle through adoption of Beazley’s core values and behaviours. Adopt the Beazley culture of being bold, striving for better and doing the right thing. This contributes to an internal environment of teamwork and promotes a positive brand image and experience to our external customers.
Comply with Beazley procedures, policies and regulations including the code of conduct which incorporates the PRA and FCA Conduct Rules. Undertake relevant training on Beazley policies and procedures as delivered by your line manager, Culture & People or assurance teams (compliance, risk, internal audit) either directly, via e-learning or the learning management system.
Display business ethics that uphold the interests of all our customers. Ensure all interactions with customers are focused on delivering a fair outcome, including having the right products for their needs. Comply with any specific responsibilities necessary for your role as outlined by your line manager, the Talent Management or assurance teams (compliance, risk, internal audit) and ensure you keep up to date with developments in these areas. This may include, amongst others, Beazley’s underwriting control standards, Beazley’s claims control standards, other Beazley standards and customer relationship management.
Carry out additional responsibilities as individually notified, either through your objectives or through the learning management system. These may include membership of any Beazley committees or working groups.
Education and Qualifications: University degree in Mathematics or related field. Actuarial qualification or good progress towards this.
Skills and Abilities:
- Competent user of MS Excel, VBA, SQL, R, Python, Power BI.
- Strong analytical skills with attention to detail; accurate and numerate.
- Able to communicate effectively both verbally and in writing.
- Team worker as well as able to work on own initiative.
- Ability to manage time, work on a number of tasks in parallel, meet deadlines and prioritise.
- Lateral and creative thinker, demonstrating independent problem solving.
Knowledge and Experience:
- General commercial and financial knowledge.
- Actuarial experience in insurance industry; pricing experience beneficial; Lloyd’s market knowledge desirable.
- Command of actuarial techniques.
- Understanding of reinsurance.
- Coding experience with R / Python.
- Data science knowledge and experience beneficial.
Aptitude and Disposition: Outcome focussed, self-motivated, flexible and enthusiastic. Professional approach to successfully interact with team members and stakeholders.
Competencies: Excellent communication skills, value focussed, analytical, using initiative, independent problem solving, having integrity, taking responsibility, being reliable, attention to detail.
Analytics Actuary employer: Beazley
Contact Detail:
Beazley Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Actuary
✨Tip Number 1
Familiarise yourself with the key responsibilities of the Analytics Actuary role. Understanding the specific analytical tools and methodologies mentioned in the job description, such as portfolio monitoring and claims analytics, will help you engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the actuarial field, especially those who work in insurance or have experience with Beazley. Attend industry events or join relevant online forums to gain insights and potentially get referrals that could boost your application.
✨Tip Number 3
Brush up on your technical skills, particularly in MS Excel, SQL, R, and Python. Being able to demonstrate your proficiency in these areas during practical assessments or discussions can set you apart from other candidates.
✨Tip Number 4
Showcase your understanding of Beazley’s core values and culture in your interactions. Emphasising your alignment with their principles of being bold and striving for better can resonate well with interviewers and demonstrate your fit within the company.
We think you need these skills to ace Analytics Actuary
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the role of an Analytics Actuary. Focus on your analytical skills, programming languages like R and Python, and any actuarial qualifications you possess.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the position and the company. Mention specific projects or experiences that demonstrate your ability to drive impactful analytics and support decision-making processes.
Showcase Technical Skills: Clearly outline your proficiency in tools such as MS Excel, SQL, and Power BI. Provide examples of how you've used these tools in previous roles to solve business problems or enhance strategies.
Highlight Team Collaboration: Emphasise your ability to work effectively within teams. Discuss instances where you've collaborated with underwriters, claims managers, or other stakeholders to achieve common goals, showcasing your teamwork and communication skills.
How to prepare for a job interview at Beazley
✨Showcase Your Analytical Skills
As an Analytics Actuary, your analytical skills are crucial. Be prepared to discuss specific examples of how you've used data analysis to solve business problems in the past. Highlight any tools or methodologies you've employed, such as SQL or Python, to demonstrate your technical proficiency.
✨Understand the Business Context
Familiarise yourself with Beazley's lines of business and the role of actuarial analytics within them. Research recent trends in the insurance industry, particularly in claims and underwriting analytics, to show that you understand the broader context of your work.
✨Prepare for Technical Questions
Expect technical questions related to actuarial techniques and data science. Brush up on your knowledge of pricing models, portfolio optimisation, and the use of statistical software. Being able to explain complex concepts clearly will impress your interviewers.
✨Demonstrate Teamwork and Communication Skills
Since the role involves collaboration with various teams, be ready to share experiences where you've successfully worked in a team environment. Emphasise your communication skills and how you've effectively conveyed analytical insights to non-technical stakeholders.