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- Tasks: Join a dynamic team tackling diverse client projects in non-life actuarial consulting.
- Company: Be part of a leading consultancy known for innovation and expertise in the actuarial field.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
- Why this job: Gain hands-on experience with industry leaders while making a real impact on client success.
- Qualifications: Bachelor’s or Master’s in a relevant field; part or fully qualified actuary preferred.
- Other info: Ideal for those passionate about data science and financial modelling.
The predicted salary is between 60000 - 84000 £ per year.
Work alongside and learn from industry leaders and other experienced consultants while contributing to a broad range of client projects.
Location: London
Category: Non-life Actuarial
Type: Permanent
Key Duties (Including but not limited to):
- Capital and financial reporting, leveraging the tools available and developed by the Company globally; this will also cover capital optimisation and understanding of the latest regulatory changes.
- Independent reserve reviews, plus process transformation and automation initiatives, methodology reviews and customisable reserve implementations.
- Development and maintenance of intellectual capital, including involvement with the latest data science techniques and cutting-edge methodologies from quantitative finance.
- M&A due diligence work, including management support and strategy, model build, and development of projected UK statutory distributable earnings and future new business value.
Minimum Requirements:
- Bachelor’s or Master’s degree, preferably in Actuarial Science, Mathematics, Statistics, Finance or a related field.
- Either part or fully qualified actuary (FIA or equivalent).
- Minimum 2 years of relevant Property & Casualty actuarial experience for Consultant and at least 5 for Senior Consultant and above.
- Knowledge of finance and/or risk management topics, including technical aspects such as Solvency II internal models, ORSA and IFRS 17.
- Strong modelling skills with practical experience in at least one coding language (e.g., R, Python) would be preferred.
- SAO Signing certificate or knowledge of the SAO year end process.
Non-Life Senior Consultant/Manager – 28461... employer: Jobbydoo
Contact Detail:
Jobbydoo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Non-Life Senior Consultant/Manager – 28461...
✨Tip Number 1
Network with professionals in the actuarial field, especially those who are already working in non-life insurance. Attend industry events or webinars to connect with potential colleagues and learn about their experiences.
✨Tip Number 2
Stay updated on the latest regulatory changes and advancements in data science techniques relevant to non-life actuarial work. This knowledge will not only enhance your expertise but also demonstrate your commitment to the field during interviews.
✨Tip Number 3
Consider joining professional actuarial associations or groups that focus on non-life insurance. Engaging in discussions and sharing insights can help you build a strong professional presence and may lead to job referrals.
✨Tip Number 4
Prepare for technical interviews by brushing up on your modelling skills and coding languages like R or Python. Being able to demonstrate your practical experience in these areas will set you apart from other candidates.
We think you need these skills to ace Non-Life Senior Consultant/Manager – 28461...
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in Property & Casualty actuarial work. Emphasise your qualifications, particularly if you are part or fully qualified (FIA or equivalent), and showcase any specific projects that align with the key duties mentioned in the job description.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also demonstrates your understanding of the role's responsibilities. Mention your experience with capital optimisation, regulatory changes, and any relevant data science techniques you've used in past projects.
Highlight Technical Skills: Since strong modelling skills are preferred, be sure to include your proficiency in coding languages like R or Python. Provide examples of how you've applied these skills in your previous roles, especially in relation to financial reporting or reserve reviews.
Showcase Continuous Learning: Mention any ongoing professional development or certifications related to actuarial science, finance, or risk management. This could include courses on Solvency II, ORSA, or IFRS 17, which will demonstrate your commitment to staying updated in the field.
How to prepare for a job interview at Jobbydoo
✨Showcase Your Technical Skills
Make sure to highlight your modelling skills and any experience you have with coding languages like R or Python. Be prepared to discuss specific projects where you've applied these skills, as this will demonstrate your practical knowledge in the field.
✨Understand Regulatory Changes
Familiarise yourself with the latest regulatory changes relevant to capital optimisation and financial reporting. Being able to discuss these topics confidently will show that you are up-to-date and understand the complexities of the industry.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities, especially in areas like M&A due diligence or reserve reviews. Think of examples from your past experience where you successfully navigated similar challenges.
✨Demonstrate Your Continuous Learning
Since the role involves cutting-edge methodologies and data science techniques, express your enthusiasm for continuous learning. Mention any recent courses, certifications, or self-study you've undertaken to stay ahead in the actuarial field.
