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- Tasks: Lead the development of pricing models and analytics in Macro Credit.
- Company: A top global financial services firm with a focus on innovation.
- Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a significant impact in financial research.
- Qualifications: 3-7 years of quantitative research experience and proficiency in Python or C++.
- Other info: Collaborative environment with strong emphasis on analytical skills.
The predicted salary is between 72000 - 108000 £ per year.
A leading global financial services firm seeks a Vice President for their Quantitative Research team to drive and accelerate pricing model development and analytics in Macro Credit. This role requires engagement with sales and trading teams, focusing on pre-trade tools and model outputs.
Candidates should have:
- 3-7 years of quantitative research experience
- An advanced degree
- Proficiency in Python or C++
A collaborative mindset and strong analytical skills are essential.
VP of Quantitative Credit Research & Pricing employer: J.P. Morgan
Contact Detail:
J.P. Morgan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land VP of Quantitative Credit Research & Pricing
✨Tip Number 1
Network like a pro! Reach out to folks in the financial services sector, especially those in quantitative research. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio of projects or models you've developed in Python or C++, make sure to highlight them in conversations. Real-world examples can set you apart from the crowd.
✨Tip Number 3
Prepare for those tricky interviews! Brush up on your analytical skills and be ready to discuss how you've tackled challenges in quantitative research. We want to see your thought process in action!
✨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 about their job search.
We think you need these skills to ace VP of Quantitative Credit Research & Pricing
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your quantitative research experience and any relevant projects you've worked on. We want to see how your skills in Python or C++ can contribute to our Macro Credit team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative credit research and how you can drive model development at our firm. Let us know what excites you about this role!
Showcase Your Collaborative Spirit: Since this role involves working closely with sales and trading teams, make sure to highlight any past experiences where you've successfully collaborated with others. We love a team player!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at J.P. Morgan
✨Know Your Quantitative Stuff
Make sure you brush up on your quantitative research skills and be ready to discuss your experience in detail. Be prepared to explain complex pricing models you've developed and how they impacted trading decisions.
✨Show Off Your Coding Skills
Since proficiency in Python or C++ is key, be ready to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges related to financial modelling before the interview.
✨Engage with Sales and Trading Insights
Understand the dynamics between quantitative research and sales/trading teams. Prepare examples of how your work has directly supported these teams, and think about how you can enhance their pre-trade tools with your insights.
✨Collaborate and Communicate
This role requires a collaborative mindset, so be ready to discuss how you've worked effectively in teams. Share specific instances where your analytical skills led to successful outcomes through teamwork, and highlight your communication style.
