At a Glance
- Tasks: Build technical solutions and automate processes to support pricing and risk management.
- Company: Join a small, dynamic team of actuaries in a collaborative environment.
- Benefits: Competitive salary, bonus, and benefits with a focus on professional growth.
- Other info: Work 4 days a week in the office with supportive colleagues.
- Why this job: Make an impact by developing models and analysing trends in the reinsurance sector.
- Qualifications: Strong maths, stats, and Python skills; relevant internship experience preferred.
The predicted salary is between 50000 - 50000 £ per year.
A 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 employer: Highbury Consulting
At Highbury Consulting, we pride ourselves on being an excellent employer, offering a collaborative work culture where innovation thrives. Our Graduate Analysts benefit from competitive salaries, bonuses, and a supportive environment that fosters professional growth through hands-on experience with seasoned actuaries and underwriters. Located in a vibrant area, our team enjoys a balanced work-life dynamic with four days in the office, ensuring meaningful engagement and development opportunities.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Analyst - Data, Analytics, Quantitative Analysis
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work as actuaries or in analytics. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python, data analysis, or any relevant coursework. This is your chance to demonstrate your mathematical and statistical prowess beyond just your CV.
✨Tip Number 3
Prepare for the technical interview! Brush up on your analytical skills and be ready to tackle real-world problems. Practising with sample questions can help you feel more confident when it’s your turn to shine.
✨Tip Number 4
Apply through our website! We’re all about making connections, so don’t hesitate to submit your application directly. It shows initiative and gives us a chance to see your enthusiasm for the role.
We think you need these skills to ace Graduate Analyst - Data, Analytics, Quantitative Analysis
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your mathematical, statistical, and Python programming abilities, as these are key for us at StudySmarter.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data analytics and how your background in Maths, Stats, or CompSci makes you a great fit. Be genuine and let your personality shine through!
Showcase Relevant Experience:If you've done any internships or placements, make sure to mention them! We want to see how your previous experiences can contribute to our team and the projects we work on.
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 StudySmarter!
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 your potential employer that you can handle the analytical tasks they'll throw your way.
✨Python Proficiency
Make sure you're comfortable with Python programming. Prepare to talk about specific projects where you've used Python for data analysis or automation. If you can, bring examples of your code or tools you've developed to showcase your skills.
✨Understand the Role
Familiarise yourself with the reinsurance industry and the role of actuaries. Knowing how your work will support underwriters and improve workflows will help you answer questions more effectively and demonstrate your genuine interest in the position.
✨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 not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
