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- Tasks: Develop advanced models and implement them in trading platforms to enhance financial transactions.
- Company: Join a leading global financial firm with a focus on innovation and collaboration.
- Benefits: Competitive salary, professional development, and opportunities for career advancement.
- Why this job: Make a real impact in finance by combining quantitative research with cutting-edge technology.
- Qualifications: Experience in derivatives trading, strong analytical skills, and proficiency in Python/C++.
- Other info: Dynamic team environment with opportunities to work on complex financial challenges.
The predicted salary is between 36000 - 60000 £ per year.
The Rates QR team's mission is to develop and maintain sophisticated mathematical models, cutting-edge methodologies and infrastructure to value and hedge financial transactions ranging from vanilla flow products to complex derivative deals, as well as improve the performance of algorithmic trading strategies and promote advanced electronic solutions to our clients worldwide. If you are passionate, curious and ready to make an impact, we are looking for you.
As a Quantitative Developer, Associate or Vice President in the Quantitative Research Rates team, you will be providing modelling solutions to the Rates business. Your work will combine classical quant finance with solid software engineering to deliver best-in-class models to the trading desk.
Quantitative Research (QR) is an expert quantitative modelling group in Morgan, as well as a leader in financial engineering, data analytics, statistical modelling and portfolio management. As a global team, QR partners with traders, marketers and risk managers across all products and regions, contributes to sales and client interaction, product innovation, valuation and risk management, inventory and portfolio optimization, electronic trading and market making, and appropriate financial risk controls.
Job responsibilities:
- Develop advanced analytical and risk management models and capability
- Implement these models in our quant library and trading/risk platforms, carrying out testing and writing documentation
- Deliver these models to production
- Work closely with traders and wider quant team to solve problems and identify opportunities
Required qualifications, capabilities, and skills:
- You have experience in a front-office derivatives trading environment
- You have outstanding analytical and problem-solving abilities
- You demonstrate good written and oral communication
- You demonstrate strong coding and software engineering skills with a passion for technical excellence
- You have professional Python/C++ development experience
- You demonstrate exposure to derivatives pricing theory and standard model
Preferred qualifications, capabilities, and skills:
- Deep understanding of derivatives pricing theory and standard model
- Experience with SecDB / Beacon (or similar)
Quantitative Research - Rates - Associate in London employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Research - Rates - Associate in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in Quantitative Research. Attend events, webinars, or even casual meet-ups. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your coding projects, models, or any relevant work. This is your chance to demonstrate your analytical prowess and technical excellence beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your derivatives pricing theory and coding skills. Practice common quantitative problems and be ready to discuss your thought process. Confidence is key, so let your passion shine through!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team and making an impact in the Rates QR space.
We think you need these skills to ace Quantitative Research - Rates - Associate in London
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for quantitative research and financial modelling shine through. We want to see that you're not just ticking boxes but genuinely excited about the work we do at StudySmarter.
Tailor Your CV: Make sure your CV is tailored to highlight your experience in derivatives trading and your coding skills. We love seeing how your background aligns with our mission, so don’t hold back on showcasing relevant projects or achievements!
Be Clear and Concise: In your written application, clarity is key. Use straightforward language to explain your experiences and skills. We appreciate well-structured applications that make it easy for us to see why you’d be a great fit for the team.
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 gives you a chance to explore more about what we do at StudySmarter.
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Models
Make sure you brush up on the mathematical models and methodologies relevant to the Rates business. Be prepared to discuss how you've applied these in past roles, especially in a front-office derivatives trading environment.
✨Showcase Your Coding Skills
Since strong coding skills are crucial for this role, be ready to demonstrate your proficiency in Python or C++. You might even be asked to solve a coding problem during the interview, so practice common algorithms and data structures beforehand.
✨Communicate Clearly
Effective communication is key in this role. Practice explaining complex quantitative concepts in simple terms, as you'll need to collaborate with traders and other team members who may not have a technical background.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your analytical and problem-solving abilities. Think of examples from your experience where you've tackled challenges or identified opportunities in quantitative research or trading.
