At a Glance
- Tasks: Join a dynamic team to analyse data, support pricing, and engage in capital modelling.
- Company: A forward-thinking actuarial department with a strong presence across all levels.
- Benefits: Gain exposure to innovative projects and professional development opportunities.
- Other info: Collaborate with senior analysts and explore machine learning applications.
- Why this job: Make an impact in the actuarial field while progressing your career with exciting challenges.
- 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. There will be opportunities to get involved with forward looking projects using machine learning and data science (depending on experience).
Duties And Accountabilities
The ideal candidate will get to work alongside senior members of the team across the following activities:
- 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
The successful candidate will have:
- 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 Slough employer: Resourgenix Ltd
Join a dynamic and innovative actuarial team that prioritises professional development and collaboration. With a strong focus on employee growth, you will have the opportunity to engage in diverse projects, including cutting-edge machine learning applications, all while working in a supportive environment that values your contributions. Located in a vibrant area, our company offers a unique blend of career advancement and a positive work culture, making it an excellent choice for aspiring actuaries.
StudySmarter Expert Advice🤫
We think this is how you could land Actuarial Analyst in Slough
✨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 important it is to make connections; you never know who might have the inside scoop on job openings.
✨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 to boost your confidence.
✨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, so don’t hold back!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we often have exclusive roles listed there that you won’t find anywhere else. So, get clicking!
We think you need these skills to ace Actuarial Analyst in Slough
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 Actuarial Analyst position and how your background in Maths/Statistics/Science makes you a great fit for our team. Keep it engaging and personal!
Showcase Your Skills:Don’t forget to mention any programming skills you have, especially in Python or R. If you've worked with data analysis tools like Power BI, let us know! We love seeing candidates who are eager to dive into projects using machine learning and data science.
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 shows us you’re keen on joining our team!
How to prepare for a job interview at Resourgenix Ltd
✨Know Your Numbers
Brush up on your actuarial knowledge and be ready to discuss key concepts like capital modelling, reserving, and pricing. Make sure you can explain how these areas relate to the role and the company’s objectives.
✨Showcase Your Skills
Prepare to demonstrate your statistical and data manipulation skills. Bring examples of past projects or analyses you've worked on, especially if they involved programming in Python or R, as this will show your practical experience.
✨Communicate Clearly
Practice explaining complex actuarial concepts in simple terms. Since the role involves interacting with various teams, being able to communicate effectively is crucial. Think about how you would explain your work to someone without an actuarial background.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects, especially those involving machine learning and data science. This shows your interest in the role and helps you understand how you can contribute to their forward-looking initiatives.
