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- Tasks: Lead analytics for pricing models and enhance trading systems in a dynamic financial environment.
- Company: Premier financial institution located in Greater London, known for innovation and excellence.
- Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
- Why this job: Make a significant impact in quantitative research and drive automation in trading.
- Qualifications: 3-7 years of quantitative research experience and advanced degree required.
- Other info: Collaborative team environment with a focus on cutting-edge analytics.
The predicted salary is between 54000 - 84000 £ per year.
A premier financial institution in Greater London is seeking a Vice President for its Quantitative Research Credit team. This strategic role involves driving analytics for pricing model development and enhancing trading systems.
The ideal candidate will have:
- 3-7 years of quantitative research experience
- An advanced degree in a relevant field
- Strong proficiency in Python or C++
You will engage closely with sales and trading, creating impactful analytics and driving automation efforts.
VP, Quantitative Credit Research & Pricing employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land VP, Quantitative Credit Research & Pricing
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance world, especially those in quantitative research. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your quantitative research projects and any pricing models you've developed. This will give you an edge during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Stay updated on industry trends! Follow financial news and developments in quantitative research. Being knowledgeable about current events will help you engage in meaningful conversations during interviews.
✨Tip Number 4
Apply through our website! We make it easy for you to find and apply for roles like the VP of Quantitative Credit Research & Pricing. Don’t miss out on the chance to join a premier financial institution!
We think you need these skills to ace VP, 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 drive analytics and enhance trading systems.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for the VP role. Share specific examples of how you've created impactful analytics in your previous roles.
Showcase Your Advanced Degree: Don’t forget to mention your advanced degree in a relevant field. This is key for us, as we’re looking for someone with a strong academic background to lead our Quantitative Research Credit team.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Numbers
Brush up on your quantitative research skills and be ready to discuss specific models you've developed or worked with. Be prepared to explain your thought process and the impact of your work on pricing strategies.
✨Showcase Your Coding Skills
Since proficiency in Python or C++ is crucial, make sure you can demonstrate your coding abilities. Bring examples of your previous projects or even be ready to solve a coding challenge during the interview.
✨Understand the Business
Familiarise yourself with the financial institution's trading systems and how they operate. Being able to discuss how your analytics can enhance these systems will show that you're not just a techie but also understand the business side of things.
✨Engage with the Team
This role involves close collaboration with sales and trading teams. Prepare to discuss how you’ve successfully worked in cross-functional teams before and how you can contribute to a collaborative environment.
