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- Tasks: Drive pricing model development and deliver analytics in the Macro Credit space.
- Company: Join J.P. Morgan, a leader in global financial services.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Make an impact in credit trading with cutting-edge quantitative research.
- Qualifications: 3-7 years in quantitative research with strong analytical skills.
- Other info: Collaborative culture with a focus on innovation and technology.
The predicted salary is between 72000 - 108000 £ per year.
J.P. Morgan Global Credit Trading delivers premier, integrated financial services to a global clientele, offering financial assets and liquidity solutions for banks, insurance companies, finance companies, mutual funds, and hedge funds. Our traders, salespeople, and research analysts collaborate to generate innovative ideas and maintain our competitive edge in the market. The Credit business facilitates secondary markets in high-grade bonds/CDS, high-yield bonds/CDS, distressed bonds, leveraged finance, indices, options, correlation products, and other exotic structures.
The Credit QR team is responsible for developing and maintaining models for pricing, risk, and P&L calculations, tooling pre-trade analytics for trading as well as refining quoting and market-making algorithms for a wide range of credit products. Alongside with hand-in-hand quantitative R&D with business stakeholders based on market themes, our responsibilities also encompass the entire model lifecycle, from new model specification, implementing models in various libraries and downstream systems, and going through review process to ensuring compliance with internal policies and industry regulations.
As a Vice President of Quantitative Research Credit team, your primary focus will be on driving and accelerating the agenda of pricing model development, prototyping and delivering analytics to business stakeholders in the Macro Credit space with agility and commercial acumen. This role involves a high level of engagement with sales and trading with ownership and accountability of pre-trade tools, model output and PNL analysis. Product coverage includes a wide range of flow credit derivatives with a mixture between linear (Credit Index, CDS) and non-linear (Index Options, and Index Tranches) with particular emphasis on non-linear products.
Job responsibilities:
- Prototype and deliver pre-trade quantitative analytics upon market volatility, trading opportunity as well as client wallet, particularly for index options and tranches.
- Modernize trading & risk systems with technology partners to achieve high performance and robust risk & PNL attribution while accelerating decommissioning of legacy analytical systems.
- Enhance pricing models to facilitate comprehensive scenario pricing and default analysis.
- Collaborate with trading with ongoing brainstorming and agile R&D given market themes.
- Drive the automation agenda by transforming manual processes into digital platforms.
- Write technical model documentation compliant with internal and regulatory standards and engage with model control teams to facilitate timely and efficient reviews and approvals.
Required qualifications, capabilities, and skills:
- 3-7 years of experience as quantitative researcher / strategist in credit and fixed income business with outstanding analytical skills and structured approach to problem-solving.
- Advanced degree in math, statistics, physics, financial engineering, or computer science.
- Strong knowledge in financial mathematics, stochastic calculus (volatility model and correlation model as a big plus).
- Proficient in python or C++ with familiarity to collaborative software development process in a dynamic and demanding environment.
- Team-work mentality with excellent oral and written communication skills with business stakeholders, technology partners and control functions.
- Ability to work effectively in a high-pressure environment with result-driven mentality and attention to details.
Preferred qualifications, capabilities, and skills:
- Experience with Neutral Networks (or alternative machine learning / deep learning models), or Large Language Model tuning.
Quantitative Research - Credit - Vice President employer: J.P. Morgan
Contact Detail:
J.P. Morgan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Research - Credit - Vice President
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend events, webinars, or even casual meet-ups. The more people you know, the better your chances of landing that dream role.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Bring along examples of your work or projects you've tackled. This will help you stand out and show that you’re ready to hit the ground running.
✨Ask Smart Questions
When you get the chance to chat with potential employers, ask insightful questions about their challenges and goals. This shows you’re genuinely interested and can think critically about how you can contribute.
✨Apply Through Our Website
Make sure to apply through our website for the best chance at getting noticed. We love seeing candidates who take the initiative to engage directly with us!
We think you need these skills to ace Quantitative Research - Credit - Vice President
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Quantitative Research role. Highlight your analytical skills, experience in credit and fixed income, and any relevant projects you've worked on. We want to see how you can bring value to our team!
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 the credit space and how your background makes you a perfect fit for the role. Be sure to mention specific experiences that demonstrate your problem-solving abilities.
Showcase Your Technical Skills: Since this role requires proficiency in Python or C++, make sure to highlight any relevant projects or experiences where you've used these languages. If you've worked with financial mathematics or stochastic calculus, don't forget to mention that too – it’s a big plus for us!
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’re considered for the role. Plus, it shows you’re proactive and keen to join our team at J.P. Morgan!
How to prepare for a job interview at J.P. Morgan
✨Know Your Models Inside Out
Make sure you have a solid understanding of the pricing models and analytics relevant to the role. Be prepared to discuss your experience with model development, particularly in credit derivatives, and how you've applied these models in real-world scenarios.
✨Brush Up on Financial Mathematics
Since this role requires strong knowledge in financial mathematics and stochastic calculus, take some time to review key concepts. Be ready to explain how you've used these skills in past projects, especially in relation to volatility and correlation models.
✨Showcase Your Technical Skills
Be prepared to demonstrate your proficiency in Python or C++. You might be asked to solve a coding problem or discuss your experience with collaborative software development. Highlight any projects where you've automated processes or modernised systems.
✨Communicate Effectively
This role involves a lot of collaboration with sales, trading, and technology partners. Practice articulating complex ideas clearly and concisely. Think about examples where you've successfully communicated technical information to non-technical stakeholders.
