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For Companies At a Glance
- Tasks: Join the Technical Pricing team to analyse underwriting performance and build predictive models.
- Company: A leading Personal Lines Insurer focused on innovative actuarial solutions.
- Benefits: Enjoy fully remote work, flexible hours, and opportunities for professional growth.
- Why this job: Be at the forefront of data science in insurance, making a real impact with your analyses.
- Qualifications: PhD/Masters in a research-based subject; experience in actuarial pricing or statistical modelling required.
- Other info: Utilise R or Python to enhance your skills in a supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
I am working with a leading Personal Lines Insurer who are seeking an individual to join their Technical Pricing team. This team is responsible for specialist actuarial analyses of U/W performance within different products such as Home/Motor. This role offers the opportunity to use new technologies and be involved in delivering strategic change such as improving the sophistication of models and deploying the latest data science techniques. This vacancy can be fully remote.
Responsibilities:
- Building predictive/machine learning models
- Predict perils for claims/severity
- Producing reports and presentations to communicate the results of actuarial analyses to key stakeholders
Requirements:
- PhD/Masters in a research based subject
- Experience of actuarial pricing or statistical modelling
- Knowledge of R or Python
Contact Detail:
Arthur Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Actuarial Analyst Graduate Scheme
✨Tip Number 1
Familiarise yourself with the latest trends in predictive modelling and machine learning, especially as they relate to the insurance industry. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with professionals in the actuarial field, particularly those who work in technical pricing. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 3
Brush up on your R or Python skills by working on relevant projects or contributing to open-source initiatives. Being able to showcase your coding abilities in these languages will set you apart from other candidates.
✨Tip Number 4
Prepare to discuss how you would approach building predictive models and the data science techniques you would employ. Having a clear strategy and examples ready will show your analytical thinking and problem-solving skills, which are crucial for this role.
We think you need these skills to ace Actuarial Analyst Graduate Scheme
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in actuarial pricing or statistical modelling. Emphasise any projects or coursework related to predictive modelling, especially using R or Python.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific technologies or techniques you are familiar with and how they relate to the responsibilities of the position.
Showcase Your Technical Skills: If you have experience with machine learning models or data science techniques, be sure to include examples in your application. Highlight any relevant projects or research that demonstrate your capabilities.
Prepare for Potential Assessments: Be ready for possible technical assessments or case studies during the application process. Brush up on your knowledge of actuarial analyses and be prepared to discuss your approach to problem-solving in this field.
How to prepare for a job interview at Arthur Recruitment
✨Showcase Your Technical Skills
Make sure to highlight your experience with R or Python during the interview. Be prepared to discuss specific projects where you've built predictive models or used statistical techniques, as this will demonstrate your capability to contribute to the Technical Pricing team.
✨Understand the Business Context
Familiarise yourself with the personal lines insurance market, particularly in home and motor products. Being able to discuss how actuarial analyses impact underwriting performance will show that you understand the role's significance within the company.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your analytical thinking and problem-solving skills. Practice explaining your thought process when tackling complex data challenges, as this will be crucial for building predictive models and improving existing methodologies.
✨Communicate Effectively
Since you'll need to produce reports and presentations for key stakeholders, practice articulating your findings clearly and concisely. Use examples from your past experiences to illustrate how you've successfully communicated complex analyses to non-technical audiences.
