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- Tasks: Enhance risk engine and optimise quantitative models while collaborating with diverse teams.
- Company: Leading advisory firm in financial risk management with a focus on innovation.
- Benefits: Competitive salary, pension contributions, and support for professional qualifications.
- Why this job: Make a direct impact on clients while working on cutting-edge financial technology.
- Qualifications: Master's degree in STEM and 2+ years of quantitative development experience.
- Other info: Dynamic role with opportunities for professional growth and development.
The predicted salary is between 28800 - 48000 £ per year.
A leading advisory firm in financial risk management is seeking a Quantitative Developer to enhance its proprietary risk engine and optimize quantitative models. The role encompasses collaboration with various teams and a chance to have direct client impact.
Candidates should have a master's degree in a STEM field and at least 2 years of experience in quantitative development, alongside strong Python programming skills.
A competitive remuneration package, pension contributions, and support for professional qualifications are offered.
Quantitative Developer: Risk Engine & Client Apps employer: Validus Risk Management
Contact Detail:
Validus Risk Management Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer: Risk Engine & Client Apps
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial risk management space. We can’t stress enough how a simple chat can lead to opportunities, so don’t be shy about asking for introductions or advice.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative models and Python projects. This is your chance to demonstrate your expertise and creativity, making you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing common quantitative development scenarios and being ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our platform.
We think you need these skills to ace Quantitative Developer: Risk Engine & Client Apps
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python programming skills and any relevant quantitative development experience. We want to see how you can enhance our risk engine, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the job description. Mention your master’s degree in a STEM field and how your background aligns with the role. It helps us see why you’re a great fit!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to understand your qualifications and experiences.
Apply Through Our Website: We encourage you to apply directly through our website. It streamlines the process for us and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Validus Risk Management
✨Know Your Quantitative Stuff
Make sure you brush up on your quantitative development knowledge. Be ready to discuss your experience with risk models and how you've optimised them in the past. They’ll likely ask for specific examples, so have a couple of solid stories prepared.
✨Show Off Your Python Skills
Since strong Python programming skills are a must, be prepared to demonstrate your coding abilities. You might be asked to solve a problem on the spot or explain your thought process behind a piece of code. Practise coding challenges beforehand to feel confident.
✨Collaboration is Key
This role involves working with various teams, so highlight your teamwork experience. Think of examples where you successfully collaborated with others to achieve a common goal, especially in a quantitative context. It’s all about showing you can communicate effectively across departments.
✨Understand Client Impact
Since the role has a direct client impact, be ready to discuss how your work can benefit clients. Think about how your quantitative models can solve real-world problems for clients and be prepared to share your insights on client needs in financial risk management.
