At a Glance
- Tasks: Support the Credit Exotic business by developing pricing models and analytics tools.
- Company: Join Morgan Global Credit Trading, a leader in integrated financial services for global clients.
- Benefits: Enjoy a dynamic work environment with opportunities for collaboration across global teams.
- Why this job: Be part of a cutting-edge team modernising trading platforms and enhancing risk management capabilities.
- Qualifications: Advanced degree in a quantitative field and 5+ years in credit market-making required.
- Other info: Work permit needed if not a passport holder of the country for the vacancy.
The predicted salary is between 43200 - 72000 £ per year.
This role will focus on supporting the Credit Exotic business, a key component of our leading Credit division among sell-side institutions. Morgan Global Credit Trading provides top-tier, 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, indices, options, correlation products, and other exotic structures. The Credit QR team is tasked with developing and maintaining models for valuation, risk, P&L calculations, as well as creating quoting and market-making algorithms and analytical tools. Our responsibilities encompass the entire model lifecycle, from new model specification and approval to ensuring compliance with internal policies and industry regulations, implementing models in our library, and integrating them into risk and P&L systems.
As an Associate or Vice President in the Quantitative Research Credit team, your primary focus will be on pricing models, delivering analytics as well as ensuring the QR team provides an effective toolkit to the Credit Exotic business. The role covers all aspects of QR support, with a particular emphasis on assisting the desk with bespoke transactions, enhancing risk management capabilities, and modernizing the trading platform systems. Daily interaction with trading and structuring teams is expected, as the team rotates between positions within the broader Credit QR team and the trading desk.
Job responsibilities:
- Collaborate with trading and structuring teams globally (London, New York, Paris and Hong Kong) to ensure their needs are captured
- Support trading of bespoke and hybrid structures and assist in analyzing hedging effectiveness and understanding P&L sources
- Explain model behavior, conduct scenario analysis, develop, and deliver quantitative tools and support analytics
- Document ideas and implement solutions directly or coordinate with the broader team to achieve this
- Contribute to platform modernization by transitioning analytics to modern frameworks and decommissioning legacy systems
- Drive the automation agenda by minimizing repetitive tasks and contributing to the development of e-commerce 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:
- Strong business and modelling knowledge from prior experience in fixed-income derivatives and exotics (credit or rates)
- You demonstrate exceptional analytical, quantitative and technical problem-solving skills with a structured mathematical approach and thought process
- You have an advanced degree in mathematics, statistics, physics, financial engineering or computer science
- You have at least 5 years of experience supporting a credit market-making desk or equivalent experience on both sell-side and buy-side firms
- You demonstrate an interest in good software design principles and familiarity with collaborative software development process in a dynamic and demanding environment
- You have strong software design and data science skills
- You are a team player with excellent oral and written communication skills for interaction with trading, technology and control functions
- You demonstrate proactive attitude with a natural interest in learning about our business, models, and infrastructure
- You have ability to work effectively in a highly dynamic environment with an attention to detail and focus on quality deliverables
Preferred Qualifications, Capabilities, and Skills:
- You have a . in a numerate subject from a top academic institution
- You demonstrate experience in Python and C++
Please note that if you are NOT a passport holder of the country for the vacancy you might need a work permit.
Quantitative Research - Credit - Associate or Vice President (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 - Credit - Associate or Vice President (London)
✨Tip Number 1
Familiarise yourself with the latest trends in credit markets and quantitative research. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the industry, especially those working in quantitative research or credit trading. Attend relevant events or webinars to make connections that could provide insights or referrals for your application.
✨Tip Number 3
Brush up on your programming skills, particularly in Python and C++. Being able to demonstrate your technical abilities during discussions can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss specific quantitative models and tools you've worked with in the past. Be ready to explain your thought process and how your contributions have impacted previous projects or roles.
We think you need these skills to ace Quantitative Research - Credit - Associate or Vice President (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative research, particularly in credit markets. Emphasise your analytical skills and any specific projects that relate to pricing models or risk management.
Craft a Strong Cover Letter: Write a cover letter that clearly outlines your motivation for applying to this role. Discuss your understanding of the Credit Exotic business and how your background aligns with the responsibilities mentioned in the job description.
Showcase Technical Skills: In your application, be sure to mention your proficiency in programming languages like Python and C++. Provide examples of how you've used these skills in previous roles, especially in developing quantitative tools or models.
Highlight Team Collaboration: Since the role involves daily interaction with trading and structuring teams, include examples of past experiences where you successfully collaborated with cross-functional teams. This will demonstrate your ability to work effectively in a dynamic environment.
How to prepare for a job interview at JPMorgan Chase & Co.
✨Understand the Role
Make sure you have a solid grasp of what the Quantitative Research - Credit role entails. Familiarise yourself with pricing models, risk management, and the specific responsibilities mentioned in the job description. This will help you articulate how your skills align with the team's needs.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with programming languages like Python and C++. Highlight any relevant projects or tools you've developed that demonstrate your technical prowess, especially in relation to financial modelling and analytics.
✨Prepare for Scenario Questions
Expect to face scenario-based questions that assess your analytical and problem-solving abilities. Practice explaining model behaviour and conducting scenario analyses, as these are crucial for the role. Use examples from your past experiences to illustrate your thought process.
✨Demonstrate Team Collaboration
Since the role involves daily interaction with trading and structuring teams, be ready to discuss your experience working in collaborative environments. Share examples of how you've effectively communicated complex ideas and contributed to team success in previous roles.