At a Glance
- Tasks: Build technical solutions and analyse data to improve workflows in reinsurance.
- Company: Join a small, dynamic team of actuaries at Highbury Consulting.
- Benefits: £50K salary, bonus, and benefits with a supportive work environment.
- Other info: Work 4 days a week in the office with smart, supportive colleagues.
- Why this job: Make an impact by developing models and tools that drive efficiency.
- Qualifications: Strong maths, stats, and Python skills; relevant internship experience preferred.
The predicted salary is between 50000 - 50000 £ per year.
Graduate / Junior role in a small team of actuaries building technical solutions, analytics, improving workflows and automating processes that help support pricing and exposure management across a portfolio of reinsurance.
We’re looking for someone with strong mathematical, statistical and python programming ability who can help support traditional analytical tasks and technical development work.
The role is inward facing and will work primarily with underwriters and actuaries, building tools, developing models, analysing trends/risk drivers and developing workflows to improve efficiency.
Candidates with a Maths, Stats, CompSci, Actuarial or Physics background with either internship or placement experience are of interest.
4 days per week in office, working with smart people who will support you on your journey.
Sponsorship is NOT available.
Graduate Analyst - Data, Analytics, Quantitative Analysis in York employer: Highbury Consulting
As a Graduate Analyst at our company, you will join a dynamic and supportive team of actuaries dedicated to innovation in data analytics and quantitative analysis. With a competitive salary, bonus structure, and a strong emphasis on professional development, we foster a collaborative work culture that encourages growth and learning. Located in a vibrant area, our office environment is designed to inspire creativity and teamwork, making it an excellent place for aspiring analysts to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Analyst - Data, Analytics, Quantitative Analysis in York
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work in data analytics or reinsurance. A friendly chat can lead to valuable insights and even job referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python, statistics, or any relevant analytical work. This will give you an edge and demonstrate your capabilities beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions related to data analysis and quantitative methods. Practise explaining complex concepts in simple terms, as you'll need to communicate effectively with underwriters and actuaries.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for fresh talent, and applying directly can sometimes give you a better chance of standing out in the crowd.
We think you need these skills to ace Graduate Analyst - Data, Analytics, Quantitative Analysis in York
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Graduate Analyst role. Highlight your mathematical, statistical, and Python programming abilities, as well as any relevant internships or placements you've completed.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics and how your background in Maths, Stats, CompSci, Actuarial, or Physics makes you a great fit for our team.
Showcase Your Projects:If you've worked on any projects related to data analysis or programming, be sure to mention them. We love seeing practical examples of your skills in action, so don’t hold back!
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 this exciting opportunity with our team.
How to prepare for a job interview at Highbury Consulting
✨Know Your Numbers
Brush up on your mathematical and statistical concepts. Be ready to discuss how you've applied these skills in past projects or internships. This will show that you can handle the analytical tasks required for the role.
✨Python Proficiency
Make sure you're comfortable with Python programming. Prepare to talk about specific projects where you've used Python to solve problems or automate processes. If possible, bring examples of your code or tools you've developed.
✨Understand the Industry
Familiarise yourself with reinsurance and the role of actuaries. Knowing the basics of pricing and exposure management will help you engage in meaningful conversations during the interview and demonstrate your genuine interest in the field.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the types of projects you'll be working on, and how success is measured in the role. This shows that you're not just interested in the job, but also in how you can contribute to the team's success.
