At a Glance
- Tasks: Join a dynamic team to analyse data and support actuarial projects.
- Company: Forward-thinking actuarial department with strong industry presence.
- Benefits: Gain exposure to diverse actuarial roles and innovative projects.
- Other info: Collaborate with senior members and explore machine learning opportunities.
- Why this job: Make an impact in the insurance industry while advancing your actuarial career.
- Qualifications: Progress in actuarial exams and a background in Maths/Statistics/Science.
The predicted salary is between 30000 - 40000 £ per year.
A high performing and forward looking actuarial department is looking for an analyst with an actuarial background to bolster the team. Strong actuarial presence is at the core of the organisation, across all departments including the Executive team. We are looking for an individual making good progress with actuarial exams to join the team where they will get exposure to all the traditional actuarial roles (capital modelling, pricing, reserving, business planning etc).
The ideal candidate will be comfortable interacting with other teams within the business and have a Mathematical/Statistical/Science background within the Insurance industry. There will be opportunities to get involved with forward looking projects using machine learning and data science (depending on experience).
Duties And Accountabilities
- Business Planning & Capital Modelling – a bespoke internal model written in VB.NET is in use for Solvency II purposes. The model is used for capital setting, reinsurance purchasing, business planning, risk appetite setting and monitoring on a monthly basis.
- Setting parameters for and running model on a monthly basis to monitor risk against pre-defined appetite and tolerances.
- Solvency II: analysis and reporting.
- Reserving: full quarterly analyses using ICRFS including confidence intervals and monthly actual versus expected exercises.
- Pricing support: ad hoc pricing using frequency severity analysis in R Market analysis.
- Processing of data from external economic scenario generator and analysis of monthly investment performance.
- Opportunity to support the maintenance of pricing models on our new platform (hx Renew), which relies on understanding and day to day use of Python.
- Undertake specific project work and other related tasks to support the work of the Actuarial team as required.
Skills, Knowledge And Experience
- Made progress with actuarial exams / part qualified
- Demonstrable actuarial experience preferably in a Lloyd's environment
- Relevant statistical/data manipulation/data analysis skills
- Relevant academic background (preferably in Maths/Statistics/Science)
- Highly proficient in required IT packages (Pyramid, Power BI an advantage)
- Good organisation and planning
- Good written and face to face communication skills
- Programming skills desirable but not mandatory (Python and R an advantage)
Actuarial Analyst in London employer: n/a
Join a dynamic and innovative actuarial department that prioritises professional growth and collaboration. With a strong focus on employee development, you will have the opportunity to work alongside experienced professionals on diverse projects, including cutting-edge machine learning applications. Our supportive work culture fosters open communication and teamwork, making it an ideal environment for those looking to advance their careers in the insurance industry.
StudySmarter Expert Advice🤫
We think this is how you could land Actuarial Analyst in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the actuarial field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in actuarial science. We recommend practising common interview questions and even doing mock interviews with friends or mentors.
✨Tip Number 3
Showcase your projects! If you’ve worked on any relevant projects, especially those involving Python or R, make sure to highlight them during interviews. We love seeing practical applications of your skills!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate candidates who are eager to grow with us.
We think you need these skills to ace Actuarial Analyst in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your actuarial background and any progress you've made with your exams. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant experience!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how your mathematical/statistical background fits in. We love seeing genuine enthusiasm for the position.
Showcase Your Skills:Mention any relevant software or programming skills you have, especially if you’re familiar with Python or R. If you’ve worked with data analysis tools like Power BI, let us know – it could set you apart from other candidates!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at n/a
✨Know Your Actuarial Stuff
Make sure you brush up on your actuarial knowledge, especially around capital modelling, pricing, and reserving. Be ready to discuss your progress with actuarial exams and how your experience aligns with the role.
✨Show Off Your Data Skills
Since the job involves data manipulation and analysis, be prepared to talk about your experience with statistical tools and programming languages like R and Python. If you've worked on any relevant projects, share those examples!
✨Communicate Like a Pro
Strong communication skills are key, so practice explaining complex actuarial concepts in simple terms. Think about how you can effectively interact with other teams and demonstrate your ability to collaborate.
✨Get Familiar with the Company’s Tools
If you know the company uses specific software like Pyramid or Power BI, do a bit of research beforehand. Being able to discuss how you can leverage these tools will show that you're proactive and ready to hit the ground running.
