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- Tasks: Lead analytical projects and support brokers with data-driven insights.
- Company: Join Lockton’s innovative Alternative Risk Solutions & Analytics team.
- Benefits: Competitive salary, professional development, and exposure to top-tier clients.
- Why this job: Make a real impact in the insurance industry with your analytical skills.
- Qualifications: Extensive actuarial experience and proficiency in data science tools like R or Python.
- Other info: Dynamic role with opportunities for growth and collaboration in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
The primary purpose of the Actuarial Analyst is to work within Lockton’s Alternative Risk Solutions & Analytics team to support our strategy of providing Actuarial Analytics & Consulting to Lockton’s growing European Retail and Specialty business. You would join an existing, market leading and fast‑growing function that works across our entire business with exposure to a range of technical lines of business. The exciting role will require a high degree of self‑motivation and ability to effectively manage multiple tasks. You will be involved in projects in a lead capacity and provide technical support to other analysts in our team as well as working closely with some of the world’s leading organisations as part of a wider client team.
Your responsibilities include:
- Leading and reviewing various types of analytical projects
- Supporting brokers by engaging with insurers actuaries to challenge results when necessary
- Data cleansing, adjustment and processing
- Running financial analysis based on reported accounts
- Providing analytical model building support, such as Aggregate Loss Projections
- Providing report writing support for the above analytics
- Providing content during new business opportunities
- Applying technical skills to develop new products and sales materials
- Attending client and prospect meetings and leading the analytics component as required
You must have:
- Extensive experience as an actuarial analyst at an insurer or broker
- Passed a minimum of 5 of the Institute and Faculty of Actuaries (IFoA) exams
- A thorough understanding of the insurance industry & experience in presenting to clients
- Experience with using data science techniques in a developing environment such as R Studio or Python
- Ability to compile, analyse, present, and interpret complex financial and statistical information
- Highly numerate with degree level mathematics / statistics qualification
- Advanced user of Excel to utilise and build analytical models
- Experience with the use of analytical models in an insurance broking environment
- Up‑to‑date knowledge of the application of analytics and data in the insurance market
- Comfortable and confident presentational skills
- Familiar with recognised actuarial models for analysing general insurance data
- Good financial acumen with reasonable understanding of financial statements
Senior Actuarial Analyst employer: Lockton Companies
Contact Detail:
Lockton Companies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Actuarial Analyst
✨Tip Number 1
Network like a pro! Reach out to your connections in the insurance and actuarial fields. Attend industry events or webinars where you can meet potential employers and showcase your skills. Remember, it’s all about who you know!
✨Tip Number 2
Prepare for interviews by brushing up on your technical knowledge and analytical skills. Be ready to discuss your experience with data science techniques and how you've applied them in previous roles. Show them you’re not just a number cruncher but a strategic thinker!
✨Tip Number 3
Don’t underestimate the power of a strong online presence. Update your LinkedIn profile to reflect your skills and experiences relevant to the Senior Actuarial Analyst role. Engage with content related to the insurance industry to get noticed by recruiters.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll have access to exclusive job openings and updates directly from us at StudySmarter.
We think you need these skills to ace Senior Actuarial Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Actuarial Analyst role. Highlight your experience with analytical projects and any relevant exams you've passed. We want to see how your skills match what we're looking for!
Showcase Your Technical Skills: Don’t forget to mention your proficiency in R Studio or Python, as well as your advanced Excel skills. We love seeing candidates who can apply data science techniques effectively, so make it clear how you’ve used these tools in your previous roles.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about actuarial analytics and how you can contribute to our team. We appreciate a personal touch, so let your personality come through!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Lockton Companies
✨Know Your Numbers
As a Senior Actuarial Analyst, you'll need to demonstrate your strong numerical skills. Brush up on your financial analysis techniques and be ready to discuss how you've applied them in previous roles. Prepare examples of complex data sets you've worked with and how you interpreted the results.
✨Showcase Your Technical Skills
Make sure you're comfortable discussing your experience with R Studio or Python. Be prepared to explain how you've used these tools for data cleansing and model building. If possible, bring along a portfolio of your work or examples of analytical models you've developed.
✨Engage with Real-World Scenarios
Expect to tackle real-world problems during your interview. Think about how you would approach challenges in the insurance industry, especially when it comes to presenting findings to clients. Practise articulating your thought process clearly and confidently.
✨Prepare for Client Interactions
Since you'll be leading analytics components in client meetings, it's crucial to demonstrate your presentational skills. Practise explaining complex concepts in simple terms. Consider role-playing with a friend to simulate client interactions and get feedback on your delivery.
