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- Tasks: Enhance a cutting-edge quantitative risk engine and integrate advanced financial models.
- Company: Specialist financial advisory firm in the UK with an inclusive culture.
- Benefits: Competitive salary, pension contributions, and professional development support.
- Why this job: Join a dynamic team and make a real impact in financial innovation.
- Qualifications: Minimum two years in quantitative development and relevant MSc degree.
- Other info: Promotes an inclusive work environment with excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
A specialist financial advisory firm in the UK seeks a Quantitative Developer to enhance their proprietary quantitative risk engine. This role involves integrating advanced financial models into client applications, requiring strong programming skills in Python and familiarity with cloud platforms.
Ideal candidates will have a minimum of two years in quantitative development and a relevant MSc degree.
The firm offers competitive packages, including pension contributions and professional development support, promoting an inclusive work environment.
Quantitative Engineer - Risk Engine & Platform Innovation in London employer: Validus Risk Management
Contact Detail:
Validus Risk Management Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Engineer - Risk Engine & Platform Innovation in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the financial advisory space, especially those who work with quantitative risk engines. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your programming projects in Python and any cloud platform experience. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for technical interviews by brushing up on your quantitative development knowledge. Practice coding challenges and be ready to discuss your past projects in detail. We want you to shine when it comes to demonstrating your expertise!
✨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 take the initiative to engage directly with us.
We think you need these skills to ace Quantitative Engineer - Risk Engine & Platform Innovation in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills in Python and any experience you have with cloud platforms. We want to see how your background aligns with the role, so don’t hold back on showcasing your technical prowess!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention your experience in quantitative development and how it relates to enhancing financial models. We love seeing candidates who take the time to connect their experience with what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences. Avoid fluff and focus on what makes you a great fit for our team!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and you’ll be good to go!
How to prepare for a job interview at Validus Risk Management
✨Know Your Quantitative Models
Make sure you brush up on the financial models relevant to the role. Be prepared to discuss how you've integrated these models into applications in your previous roles. This shows that you not only understand the theory but can also apply it practically.
✨Show Off Your Python Skills
Since strong programming skills in Python are a must, be ready to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common algorithms and data structures beforehand. Familiarity with libraries like NumPy and pandas will definitely give you an edge.
✨Cloud Platforms Are Key
Familiarise yourself with cloud platforms, as they are crucial for this role. If you have experience with AWS or Azure, be ready to discuss specific projects where you utilised these platforms. Highlighting your ability to deploy models in a cloud environment can set you apart from other candidates.
✨Cultural Fit Matters
This firm values an inclusive work environment, so be prepared to discuss how you contribute to team dynamics. Share examples of how you've worked collaboratively in diverse teams and how you embrace different perspectives. This will show that you align with their company culture.
