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- Tasks: Develop cutting-edge models and analytics for the Credit Portfolio Group.
- Company: Join a leading Commercial and Investment Bank in London.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Fast-paced environment with exposure to real-time market pressures.
- Why this job: Make a real impact on trading strategies and risk management with innovative technology.
- Qualifications: Advanced degree in a quantitative field and strong software development skills.
The predicted salary is between 60000 - 80000 £ per year.
Quantitative Trading & Research (QTR) is an expert quantitative modelling group that partners with traders, marketers and risk managers across products and regions, promoting client interaction, product innovation, valuation and risk management, inventory and portfolio optimization, electronic trading and market making, and financial risk controls.
We are seeking an Associate to join the QTR team in London. In this role, you will develop models and analytics for the Credit Portfolio Group (CPG) within the Markets division of the Commercial and Investment Bank. CPG manages the firm’s credit and funding valuation adjustments (CVA and FVA), which are critical to the bank’s risk management and pricing strategies, and develops and maintains a large-scale Monte Carlo engine using advanced numerical and computational techniques. As an Associate in the Quantitative Trading & Research – Credit Portfolio team, you will focus on delivering best-in-class models and systems to support CPG. You will have a chance to develop and maintain sophisticated mathematical models, cutting‑edge methodologies and infrastructure, with direct exposure to the trading desk.
Job Responsibilities
- Develop pricing models for CPG.
- Enhance the Monte Carlo engine, focusing on convergence and performance.
- Build analytical tools for front office use, including pricing tools and model calibration and model performance utilities.
- Provide quantitative support for new transaction pricing, risk management, and engagement with key control functions.
- Contribute to model documentation and testing.
Required qualifications, capabilities, and skills
- Advanced degree in a quantitative field such as Engineering, Mathematics, Physics, or Computer Science.
- Strong analytical and problem‑solving abilities.
- Strong software development skills in Python or C++.
- Familiarity with probability theory, stochastic processes, numerical analysis, and statistics.
- Good communication skills, both oral and written.
- Ability to explain complicated technical concepts to a non‑technical audience.
- Ability to thrive in a fast‑paced environment of real‑time market pressures, remaining focused on client needs.
Preferred qualifications, capabilities, and skills
- Markets experience and familiarity with general trading concepts and terminology.
- Knowledge of options pricing theory, stochastic models in finance, and machine learning techniques.
- Experience with robust testing and verification practices.
Quantitative Trading & Research – Credit Portfolio – 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 Trading & Research – Credit Portfolio – Associate in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend events, join online forums, and don’t be shy about reaching out on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream role.
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your analytical skills and software development experience. Bring up any relevant projects or models you've worked on, especially if they relate to pricing or risk management. We want to see your passion for quantitative trading!
✨Prepare for Technical Interviews
Brush up on your Python or C++ skills and be ready to tackle some technical questions. Practice explaining complex concepts in simple terms, as you might need to communicate with non-technical folks. We believe that clear communication is key in this fast-paced environment!
✨Apply Through Our Website
Don’t forget to check out our careers page and apply directly through our website! It shows initiative and gives you a better chance of getting noticed. Plus, we love seeing candidates who are genuinely interested in joining our team!
We think you need these skills to ace Quantitative Trading & Research – Credit Portfolio – Associate in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role. Highlight your advanced degree and any relevant experience in quantitative fields like Engineering or Mathematics. We want to see how your skills align with our needs in the Credit Portfolio Group.
Showcase Your Skills: Don’t just list your skills; demonstrate them! Include specific examples of your software development experience in Python or C++. We love seeing how you've applied your analytical abilities in real-world scenarios.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about quantitative trading and how you can contribute to our team. Keep it concise but impactful, showing us your enthusiasm for the role.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Models Inside Out
Make sure you’re well-versed in the pricing models and methodologies relevant to the Credit Portfolio Group. Be prepared to discuss how you would enhance the Monte Carlo engine or develop new analytical tools, as this will show your technical prowess and understanding of the role.
✨Brush Up on Your Programming Skills
Since strong software development skills in Python or C++ are crucial, practice coding problems related to quantitative finance. You might be asked to solve a problem on the spot, so being comfortable with coding under pressure can really set you apart.
✨Communicate Clearly
You’ll need to explain complex concepts to non-technical audiences, so practice simplifying your explanations. Think about how you would describe a stochastic model or risk management strategy to someone without a quantitative background—this could come up in your interview!
✨Stay Current with Market Trends
Familiarise yourself with recent developments in trading concepts and market dynamics. Being able to discuss current events or trends in the financial markets will demonstrate your enthusiasm for the field and your ability to thrive in a fast-paced environment.