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- Tasks: Develop and maintain pricing and risk libraries for various asset classes.
- Company: Global hedge fund in Greater London with a focus on innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for growth.
- Why this job: Join a cutting-edge team and make an impact in finance analytics.
- Qualifications: Experience in pricing models for Linear Rates and modern C++ programming.
- Other info: Collaborative atmosphere with strong emphasis on analytical skills.
The predicted salary is between 43200 - 72000 £ per year.
A global hedge fund in Greater London is seeking a Quantitative Researcher to develop and maintain in-house pricing and risk libraries across various asset classes. The role involves close collaboration with Quants to deliver cutting-edge analytics tools.
Ideal candidates will have a proven background in pricing models for Linear Rates and modern C++ programming, coupled with strong analytical and problem-solving capabilities. A detail-oriented mindset and solid communication skills are essential for success in this dynamic environment.
Global Rates Quant Researcher - Pricing & Risk Analytics employer: Millennium Management
Contact Detail:
Millennium Management Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Global Rates Quant Researcher - Pricing & Risk Analytics
✨Tip Number 1
Network like a pro! Reach out to current or former employees at the hedge fund through LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your work on pricing models and analytics tools. This will help us stand out during interviews and demonstrate our expertise.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for Quant Researchers. We should also brush up on our C++ skills, as technical questions are likely to pop up.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our application to highlight our relevant experience in pricing and risk analytics.
We think you need these skills to ace Global Rates Quant Researcher - Pricing & Risk Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with pricing models and C++ programming. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about quantitative research and how your analytical skills can contribute to our team. Keep it concise but impactful!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in the past. We love candidates who can think critically and come up with innovative solutions, especially in a fast-paced 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 the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Millennium Management
✨Know Your Pricing Models
Make sure you brush up on your knowledge of pricing models for Linear Rates. Be prepared to discuss specific models you've worked with and how they apply to the role. This will show that you understand the core responsibilities and can hit the ground running.
✨Show Off Your C++ Skills
Since modern C++ programming is a key requirement, be ready to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges beforehand. Highlight any projects where you've used C++ in a quantitative context.
✨Communicate Clearly
Strong communication skills are essential, especially when collaborating with Quants. Practice explaining complex concepts in simple terms. During the interview, make sure to articulate your thought process clearly, as this will showcase your analytical capabilities.
✨Be Detail-Oriented
In a dynamic environment like this, attention to detail is crucial. Prepare examples from your past work where your meticulous nature made a difference. This could be in debugging code or ensuring accuracy in your analyses—anything that highlights your thoroughness will impress.
