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For Companies At a Glance
- Tasks: Design and enhance a Monte Carlo simulation engine for credit valuation adjustments.
- Company: Join J.P. Morgan, a global leader in financial services.
- Benefits: Competitive salary, diverse work culture, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on diversity and inclusion.
- Why this job: Make an impact in a data-driven investment bank with cutting-edge technology.
- Qualifications: Expertise in quantitative finance and strong programming skills in Python.
The predicted salary is between 80000 - 120000 £ 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.
Responsibilities
- Design, develop, and enhance our large-scale Monte Carlo simulation engine used for computing Credit Valuation Adjustment (CVA) and Funding Valuation Adjustment (FVA) across the firm's derivatives portfolio.
- Implement advanced numerical techniques to further improve computational efficiency and accuracy of risk sensitivities.
- Contribute to the firm's strategic agenda of transforming the investment bank into a data-driven business through the development of scalable, high-performance analytical tools and infrastructure.
- Collaborate with technology teams, ensuring robustness, performance, and maintainability of code in a large-scale production environment.
- Partner closely with traders, marketers, and risk managers across all products and regions to deliver analytical solutions that meet business needs.
- Drive best practices in quantitative research, software development, and analytical rigor across the team.
Required Qualifications, Capabilities, And Skills
- Solid experience within a quantitative role in finance.
- Degree in a quantitative field such as Computer Science, Engineering, Mathematics, or Physics.
- Demonstrate expert-level programming skills, particularly in Python, with experience leading development of large-scale, production-grade systems and mentoring others in best coding practices.
- Proven ability to lead technical projects from conception through delivery, including architecture decisions and stakeholder management.
- Champion robust system and solution architecture, ensuring rigorous testing, verification, and adherence to best practices in design and implementation across teams.
- Deep software engineering, algorithm design, and development skills with a commitment to robust testing, verification, and code quality standards.
- Exceptional communication and influencing skills, both verbal and written, with a demonstrated ability to engage and advise senior partners and stakeholders on complex and technical topics with precision and clarity.
Preferred Qualifications, Capabilities, And Skills
- Advanced degree (e.g. PhD) in Engineering, Mathematics, Physics or Computer Science.
- Markets experience and familiarity with general trading concepts and terminology.
- Knowledge of options pricing theory, trading algorithms or financial regulations.
- Experience with robust testing and verification practices.
About Us
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.
About The Team
J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Quantitative Trading & Research – Credit Portfolio – Vice President employer: JPMorganChase
Contact Detail:
JPMorganChase Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Trading & Research – Credit Portfolio – Vice President
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at J.P. Morgan. Use LinkedIn to connect and engage with them. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Since this role involves advanced programming and quantitative analysis, practice coding challenges and review key concepts in Python and financial modelling. We want you to shine!
✨Tip Number 3
Showcase your projects! If you've worked on relevant projects or have experience with Monte Carlo simulations, make sure to discuss these during interviews. We love seeing how you’ve applied your skills in real-world scenarios.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining our team. Let’s get you that dream job!
We think you need these skills to ace Quantitative Trading & Research – Credit Portfolio – Vice President
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Vice President in Quantitative Trading & Research. Highlight your experience in quantitative finance, programming skills, and any relevant projects that showcase your ability to lead technical initiatives.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're the perfect fit for this role. Use it to explain how your background in quantitative modelling and your programming expertise in Python align with our needs. Don't forget to mention your passion for transforming data into actionable insights!
Showcase Your Projects: If you've worked on large-scale systems or advanced numerical techniques, make sure to include these in your application. We love seeing concrete examples of your work, especially those that demonstrate your ability to improve computational efficiency and accuracy.
Apply Through Our Website: We encourage you to apply directly through our website. This ensures your application gets to the right people and helps us keep track of all candidates. Plus, it’s super easy and straightforward!
How to prepare for a job interview at JPMorganChase
✨Know Your Numbers
Brush up on your quantitative skills and be ready to discuss specific numerical techniques you've used in past roles. Be prepared to explain how you’ve implemented advanced numerical methods, especially in relation to Monte Carlo simulations or risk sensitivities.
✨Showcase Your Coding Skills
Since expert-level programming in Python is crucial, come prepared with examples of large-scale systems you've developed. You might even want to share a code snippet or two that demonstrates your best practices in software development and testing.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You’ll need to demonstrate exceptional communication skills, so think about how you can convey your ideas clearly to both technical and non-technical stakeholders.
✨Collaborate and Contribute
Be ready to discuss how you've partnered with traders, marketers, and risk managers in the past. Highlight any collaborative projects where you delivered analytical solutions that met business needs, showcasing your ability to work across teams.