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 Edinburgh 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. We offer a collaborative work culture that fosters professional growth, with opportunities to develop your skills in a hands-on environment while working on impactful projects. Located in a vibrant area, our office promotes a healthy work-life balance with a flexible four-day work week, 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 Edinburgh
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working as actuaries or in analytics. A friendly chat can lead to valuable insights and even job leads.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python, data analysis, or any relevant work. This will give you an edge and demonstrate your capabilities to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your mathematical and statistical skills, and how you've applied them in real-world scenarios.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by the right people.
We think you need these skills to ace Graduate Analyst - Data, Analytics, Quantitative Analysis in Edinburgh
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 Technical Skills:Don’t forget to mention any technical projects or tools you've worked on. We love seeing examples of how you've applied your skills in real-world scenarios, especially if they relate to analytics or automation.
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 you’re keen on joining 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.
✨Showcase Your Team Spirit
Since this role involves working closely with underwriters and actuaries, be prepared to discuss your teamwork experiences. Share examples of how you've collaborated effectively in the past, highlighting your ability to communicate complex ideas clearly.
