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- Tasks: Build valuation models in Python and collaborate with senior stakeholders.
- Company: Market-leading Buy Side firm in London with a strong reputation.
- Benefits: Dynamic work environment with exciting challenges and growth opportunities.
- Why this job: Engage with trading leadership and make an impact in quantitative risk.
- Qualifications: VP/Director level experience in quantitative risk and knowledge of options.
- Other info: Ideal for those seeking to advance their career in finance.
The predicted salary is between 48000 - 72000 £ per year.
A leading recruitment agency is searching for an experienced Quantitative Analyst for a market-leading Buy Side firm in London. The role involves building production valuation models within a Python pricing library, working closely with senior stakeholders to ensure governance and control in models.
Candidates should have VP/Director equivalent experience in quantitative risk, a strong understanding of options and structured products, and be comfortable engaging with trading leadership. This position promises a dynamic work environment along with relevant challenges.
Front-Office Quantitative Analyst, Python Valuation & Risk employer: Statera Talent
Contact Detail:
Statera Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Front-Office Quantitative Analyst, Python Valuation & Risk
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance world, especially those who work in quantitative roles. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your Python projects, especially those related to valuation models or risk analysis. This will give you an edge when discussing your experience with potential employers.
✨Tip Number 3
Practice makes perfect! Brush up on your interview skills by doing mock interviews with friends or mentors. Focus on articulating your understanding of options and structured products clearly and confidently.
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities tailored for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Front-Office Quantitative Analyst, Python Valuation & Risk
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in quantitative risk and your proficiency with Python. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this Front-Office Quantitative Analyst role. Mention your experience with options and structured products, and how you’ve successfully engaged with senior stakeholders in the past.
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled complex valuation challenges. We love seeing how you approach problems, especially in a dynamic environment like ours!
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. Don’t miss out!
How to prepare for a job interview at Statera Talent
✨Know Your Models Inside Out
Make sure you can discuss the valuation models you've built in detail. Be prepared to explain your thought process, the challenges you faced, and how you overcame them. This shows your depth of knowledge and problem-solving skills.
✨Brush Up on Options and Structured Products
Since the role requires a strong understanding of options and structured products, review key concepts and recent market trends. Being able to discuss these topics confidently will impress the interviewers and demonstrate your expertise.
✨Engage with Stakeholders
Practice how you would communicate complex quantitative concepts to non-technical stakeholders. This is crucial as you'll be working closely with senior leadership. Show that you can bridge the gap between technical details and business needs.
✨Prepare for Technical Questions
Expect technical questions related to Python and quantitative risk. Brush up on your coding skills and be ready to solve problems on the spot. Practising common coding challenges can help you feel more confident during the interview.
