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- Tasks: Join our team to work on Python and Mathematical Modelling projects.
- Company: We are a leading Financial Services Client with a strong reputation.
- Benefits: Enjoy a 6-month contract with potential for growth and development.
- Why this job: This role offers hands-on experience in a dynamic environment with real-world impact.
- Qualifications: Part qualified Actuary with expertise in Python and mathematical modelling required.
- Other info: Submit your CV if you meet the qualifications and are ready for a challenge.
The predicted salary is between 36000 - 60000 £ per year.
Our leading Financial Services Client is currently looking for someone to join on a 6 month initial contract who is an expert within Python and Mathematical Modelling.
Key Skills
- Part qualified Actuary
- Code optimisation
- Vectoring/Vectorization
- Factoring/Refactoring
- Mathematical modelling
Please submit your CV if the above aligns with your skill set.
Python/Mathematical Modelling employer: Lorien
Contact Detail:
Lorien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python/Mathematical Modelling
✨Tip Number 1
Make sure to brush up on your Python skills, especially in areas like code optimisation and vectorization. Practising these techniques will not only boost your confidence but also prepare you for technical discussions during interviews.
✨Tip Number 2
Familiarise yourself with mathematical modelling concepts relevant to the financial services sector. Understanding how these models are applied in real-world scenarios can give you an edge when discussing your experience with potential employers.
✨Tip Number 3
Network with professionals in the financial services industry, particularly those who specialise in actuarial roles. Engaging in conversations about current trends and challenges can provide valuable insights and may even lead to referrals.
✨Tip Number 4
Prepare for technical interviews by solving problems related to mathematical modelling and Python coding. Websites like LeetCode or HackerRank can be great resources to practice and refine your problem-solving skills.
We think you need these skills to ace Python/Mathematical Modelling
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your expertise in Python and Mathematical Modelling. Include specific projects or experiences that demonstrate your skills in code optimisation, vectoring, and mathematical modelling.
Craft a Strong Cover Letter: Write a cover letter that directly addresses the key skills mentioned in the job description. Explain how your background as a part-qualified actuary aligns with their needs and why you're interested in this role.
Showcase Relevant Projects: If you have worked on relevant projects, consider including a portfolio or a brief description of these projects in your application. Highlight any experience with factoring/refactoring and how it contributed to successful outcomes.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects attention to detail, which is crucial in the financial services sector.
How to prepare for a job interview at Lorien
✨Showcase Your Python Expertise
Be prepared to discuss your experience with Python in detail. Highlight specific projects where you've used Python for mathematical modelling, and be ready to demonstrate your coding skills through practical tests or examples.
✨Understand Mathematical Modelling Concepts
Brush up on key mathematical modelling concepts relevant to the financial services sector. Be ready to explain how you approach modelling problems and the techniques you use, such as vectorisation and optimisation.
✨Discuss Code Optimisation Techniques
Since code optimisation is a key skill for this role, prepare to talk about your experience with refactoring and optimising code. Provide examples of how your optimisations have improved performance in past projects.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving abilities and understanding of mathematical principles. Practice explaining your thought process clearly and concisely, as communication is crucial in technical roles.
