Actuarial Analyst

Actuarial Analyst

City of London Full-Time 36000 - 60000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Join our team to create pricing models and analyse insurance data.
  • Company: We're a top tech and consulting firm in the insurance sector.
  • Benefits: Enjoy hybrid work options and a dynamic, collaborative environment.
  • Why this job: Make an impact in the insurance industry while developing your analytical skills.
  • Qualifications: 2+ years in predictive modelling and Python experience required.
  • Other info: Opportunity for contract or permanent employment available.

The predicted salary is between 36000 - 60000 £ per year.

Job Description

My client is a leading technology and consulting firm focused on the insurance industry, especially in the Property & Casualty (P&C) sector. They are seeking a detail-oriented and analytical Actuarial Analyst to join their Insurance Solutions team to create pricing models, work directly with customers and technology teams, improve pricing best practices and drive technical solutions.

Job Title: Actuarial Analyst

Location: London / Hybrid

Employment Type: Contract / Perm options

Key Responsibilities:

  • Assist in developing and maintaining actuarial models for pricing, reserving, and forecasting.
  • Perform data analysis and manipulation using actuarial software and tools (e.g., Excel, SQL, R, Python).
  • Support client projects involving risk modeling, product development, and portfolio analysis.
  • Collaborate with cross-functional teams including underwriters, data scientists, and software developers.
  • Interpret insurance data and trends to support strategic decision-making.
  • Prepare reports, presentations, and documentation for internal stakeholders and client delivery.
  • Stay updated with regulatory changes, market trends, and actuarial best practices.

Required Skills & Experience:

  • Production grade Python experience
  • 2+ years of predictive modelling and advanced analytics methods experience
  • Experience of insurance/reinsurance pricing techniques (Hx)
  • Experience in developing models in Python
  • Experience in customer facing roles

Actuarial Analyst employer: Hanson Lee

As a leading technology and consulting firm in the insurance sector, our company offers a dynamic work environment that fosters innovation and collaboration. Employees benefit from a hybrid work model, competitive remuneration, and opportunities for professional growth through continuous learning and development. Join us in London to be part of a team that values analytical excellence and drives impactful solutions in the Property & Casualty industry.
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Contact Detail:

Hanson Lee Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Actuarial Analyst

✨Tip Number 1

Familiarise yourself with the latest actuarial software and tools mentioned in the job description, such as Excel, SQL, R, and Python. Being proficient in these will not only boost your confidence but also demonstrate your technical skills during interviews.

✨Tip Number 2

Network with professionals in the insurance industry, especially those working in actuarial roles. Attend industry events or join relevant online forums to gain insights and potentially get referrals that could help you land the job.

✨Tip Number 3

Prepare to discuss specific projects where you've applied predictive modelling and advanced analytics methods. Be ready to explain your thought process and the impact of your work, as this will showcase your practical experience to potential employers.

✨Tip Number 4

Stay updated on current trends and regulatory changes in the insurance sector. This knowledge will not only help you in interviews but also show your commitment to the field and your ability to adapt to evolving market conditions.

We think you need these skills to ace Actuarial Analyst

Production Grade Python Experience
Predictive Modelling
Advanced Analytics Methods
Insurance/Reinsurance Pricing Techniques
Data Analysis and Manipulation
Actuarial Software Proficiency (e.g., Excel, SQL, R, Python)
Risk Modelling
Product Development
Portfolio Analysis
Collaboration with Cross-Functional Teams
Interpretation of Insurance Data and Trends
Report Preparation and Presentation Skills
Knowledge of Regulatory Changes and Market Trends
Customer Facing Experience

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in actuarial modelling, data analysis, and any specific software skills like Python, SQL, or R. Emphasise your customer-facing roles and how they relate to the position.

Craft a Strong Cover Letter: Write a cover letter that showcases your analytical skills and experience in the insurance industry. Mention specific projects where you've developed pricing models or worked with cross-functional teams, demonstrating your fit for the role.

Showcase Technical Skills: In your application, clearly outline your technical skills, especially your proficiency in Python and any experience with predictive modelling. Provide examples of how you've used these skills in previous roles.

Highlight Continuous Learning: Mention any recent courses, certifications, or workshops related to actuarial practices or insurance trends. This shows your commitment to staying updated with industry changes and best practices.

How to prepare for a job interview at Hanson Lee

✨Showcase Your Technical Skills

Make sure to highlight your experience with Python, SQL, and any actuarial software during the interview. Be prepared to discuss specific projects where you've used these tools, as this will demonstrate your technical proficiency and relevance to the role.

✨Understand the Insurance Industry

Familiarise yourself with current trends in the Property & Casualty sector. Being able to discuss recent developments or regulatory changes will show your genuine interest in the industry and your commitment to staying informed.

✨Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving skills and analytical thinking. Practice articulating how you would approach real-world scenarios related to pricing models or risk analysis, as this will showcase your critical thinking abilities.

✨Demonstrate Collaboration Skills

Since the role involves working with cross-functional teams, be ready to share examples of how you've successfully collaborated with others in previous roles. Highlight your communication skills and ability to work effectively with diverse teams.

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