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- Tasks: Develop and implement pricing models for agricultural commodities and support trading teams.
- Company: Join a leading financial institution with a focus on innovative quantitative research.
- Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
- Why this job: Make an impact in the commodities market while utilising your quantitative skills.
- Qualifications: Advanced degree in a quantitative field and strong programming skills required.
- Other info: Dynamic front office role with excellent career advancement potential.
The predicted salary is between 72000 - 108000 £ per year.
The Agricultural Products Quantitative Research team's mission is to develop and maintain mathematical models, methodologies and infrastructure to value and hedge financial transactions ranging from vanilla flow products to complex derivative deals, and to provide analytical support to the trading desks and other stakeholders.
As a Vice President within Quantitative Research, EMEA Commodities team, you will be supporting the global Agricultural Products business. To be a successful candidate, you need to be business driven and to have previous quantitative experience, preferably in commodities markets. Your skillset should feature an extensive knowledge of quantitative methods, including valuation of derivatives and risk modelling, as well as expertise in a variety of programming languages (e.g., Python, C++). This is a front office role, and excellent communication skills are essential.
Job responsibilities:
- Develop pricing models and risk management strategies for the Agricultural Products business.
- Implement these models in our quant library and trading/risk platforms, carrying out testing and writing documentation.
- Provide support to internal clients with the existing library of models and structures through troubleshooting and fixing model-related issues.
- Develop and enhance the risk management platform used by traders to hedge trades and aggregate positions.
- Work closely with the trading and sales teams to solve problems and identify opportunities.
Required qualifications, capabilities, and skills:
- Advanced graduate degree (MS or PhD) in a quantitative field (Mathematics, Physics, Statistics, Engineering, Quantitative Finance, Computer Science, ...) with a strong foundation in and experience with advanced math models and their efficient implementation.
- Experience in a front-office trading environment, preferably in commodities. Experience in derivatives pricing models and hedging techniques.
- Strong programming skills (Python, C++) with several years of programming experience.
- Business driven, excellent communication. Strong attention to detail, able to take the lead on projects.
Preferred qualifications, capabilities, and skills:
- Experience with commodities markets.
Quantitative Research – Commodities – Vice President in London employer: J.P. Morgan
Contact Detail:
J.P. Morgan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Research – Commodities – Vice President in London
✨Tip Number 1
Network like a pro! Reach out to folks in the commodities space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your quantitative models and programming projects. When you get that interview, having tangible examples will make you stand out.
✨Tip Number 3
Practice your pitch! Be ready to explain complex concepts in simple terms. This shows you can communicate effectively with traders and stakeholders, which is key for this role.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. Plus, it gives you a chance to showcase your enthusiasm for joining our team directly.
We think you need these skills to ace Quantitative Research – Commodities – Vice President in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your quantitative experience, especially in commodities markets. We want to see how your skills align with the role, so don’t be shy about showcasing your programming prowess and any relevant projects you've worked on.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative research in commodities. We love seeing candidates who can communicate their enthusiasm and how they can contribute to our team.
Showcase Your Technical Skills: Since this role requires strong programming skills, make sure to mention your experience with Python and C++. If you’ve developed any models or tools, give us the details! We’re keen to see your technical side.
Apply Through Our Website: Don’t forget to apply 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 serious about joining our team at StudySmarter.
How to prepare for a job interview at J.P. Morgan
✨Know Your Quantitative Stuff
Make sure you brush up on your quantitative methods, especially around derivatives pricing and risk modelling. Be ready to discuss specific models you've developed or worked with, and how they apply to commodities markets.
✨Show Off Your Programming Skills
Since programming is key for this role, be prepared to talk about your experience with Python and C++. Maybe even bring a small project or code snippet to demonstrate your skills. This will show that you can not only talk the talk but also walk the walk.
✨Communicate Like a Pro
This role requires excellent communication skills, so practice explaining complex concepts in simple terms. Think about how you would explain your models or strategies to someone without a quantitative background, like a trader or sales team member.
✨Be Business Driven
Remember, this isn't just about numbers; it's about how those numbers impact the business. Prepare examples of how your quantitative work has led to better decision-making or improved outcomes in previous roles. Show them you're not just a number cruncher, but a strategic thinker.
