Quantitative Research - Prime Financial Service - Associate
Quantitative Research - Prime Financial Service - Associate

Quantitative Research - Prime Financial Service - Associate

Full-Time 36000 - 60000 £ / year (est.) No home office possible
J

At a Glance

  • Tasks: Develop cutting-edge mathematical models and analytics for financial risk management.
  • Company: Join J.P. Morgan, a global leader in financial services with a focus on innovation.
  • Benefits: Competitive salary, diverse work culture, and opportunities for professional growth.
  • Why this job: Make an impact in finance using advanced machine learning techniques and quantitative methods.
  • Qualifications: Advanced degree in Mathematics, Physics, or Computer Science; strong coding skills required.
  • Other info: Collaborative environment with a commitment to diversity and inclusion.

The predicted salary is between 36000 - 60000 £ per year.

Quantitative Research (QR) is a global team whose expertise ranges across various fields: Derivatives Modelling, Financial Engineering, Data Science, and Quantitative Development. We provide quantitative expertise and a diverse range of product offerings to clients. As part of the global QR Group, you will work on unique analytics and mathematical models, transforming business practices through automation and quantitative methods.

As an Associate within the QR Market team, you will mainly contribute to the FnO and OTC derivatives risk and margin agenda for QR Prime Financial Service as well as to the strategic agenda to transform our investment bank into a data-led business and encourage change using state-of-the-art machine learning techniques.

The QR Prime Financial Service (PFS) team is within Equity Quantitative Research and is part of the global Quantitative Research Group. Our mission is to provide quantitative expertise and contribute to delivering a wide product offering to our clients. We develop and maintain sophisticated mathematical models, cutting-edge methodologies, and infrastructure to help the PFS business. We leverage the JP Morgan Athena quant platform to provide pre- and post-trade and risk management capabilities for Cash Equity and FnO/OTC derivatives across all asset classes.

Job Responsibilities:

  • Develop and improve mathematical models for pricing and risk/margin measurement for multi-asset FnO/OTC derivatives.
  • Support EOD and intraday risk/margin and PnL calculation.
  • Support the desk and provide portfolio risk management solutions by explaining model behaviour, identifying major sources of risk in portfolios, carrying out scenario analyses, calibrating margin methodology, and developing and delivering quantitative tools.
  • Develop and deliver analytics that help transform the business and contribute to the automation agenda.
  • Partner with Technology and Product Development to deliver QR analytics to the business.
  • Drive projects end-to-end, from brainstorming and prototyping to production delivery.
  • Develop and deliver ML/AI models and end-to-end solutions.
  • Contribute to EOD or intraday hedging activities and algorithm design.

Required Qualifications, Capabilities, And Skills:

  • You have an advanced degree (PhD, MSc, or equivalent) in Mathematics, Physics, or Computer Science.
  • You have knowledge of FnO/OTC derivatives products, a good understanding of risk/PnL and margin methodology, and demonstrate quantitative and problem-solving skills.
  • You have strong coding skills (primarily Python or C++), proficiency in code design, and can navigate large libraries and quickly debug complex logic.
  • You have previous experience in a trading desk support position, either as a quant or a developer.
  • You have excellent communication skills, both verbal and written, can engage and influence partners and business/non-tech stakeholders, and are enthusiastic about knowledge sharing and collaboration.
  • You are a strong team player who consistently delivers high-quality results on time, aligned with the team’s objectives and priorities.
  • You are detail-oriented, can work on ad hoc requests, and can sometimes work under pressure.

Preferred Qualifications, Capabilities, And Skills:

  • You have knowledge of curve building, volatility surface calibrations, etc.
  • You have knowledge of market risk, time-series analysis, VaR, and stress testing.
  • You demonstrate knowledge of Prime and Clearing Margin Methodology.
  • You have knowledge of ML algorithms and experience in delivering AI models and end-to-end solutions.
  • You have knowledge of optimization and hedging algorithms.

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.

Quantitative Research - Prime Financial Service - Associate employer: JPMorganChase

J.P. Morgan is an exceptional employer, offering a dynamic work environment where innovation and collaboration thrive. As part of the Quantitative Research team in London, you will have access to cutting-edge technology and methodologies, alongside ample opportunities for professional growth and development. The company values diversity and inclusion, ensuring that every employee's unique talents contribute to our collective success while fostering a culture of trust and partnership.
J

Contact Detail:

JPMorganChase Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Quantitative Research - Prime Financial Service - Associate

✨Tip Number 1

Network like a pro! Reach out to current employees at JP Morgan or in the Quantitative Research field on LinkedIn. A friendly chat can give you insider info and might just lead to a referral.

✨Tip Number 2

Prepare for those interviews! Brush up on your knowledge of FnO/OTC derivatives and be ready to discuss your coding skills in Python or C++. Practice explaining complex concepts simply, as communication is key.

✨Tip Number 3

Show off your projects! If you've worked on any relevant mathematical models or machine learning algorithms, be sure to highlight them. Bring your portfolio to the interview to demonstrate your hands-on experience.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining the team at JP Morgan.

We think you need these skills to ace Quantitative Research - Prime Financial Service - Associate

Mathematical Modelling
Risk Management
Margin Methodology
Data Science
Machine Learning
Python
C++
Portfolio Risk Management
Scenario Analysis
Quantitative Problem-Solving
Communication Skills
Team Collaboration
Attention to Detail
Algorithm Design
Time-Series Analysis

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 coding skills, knowledge of derivatives, and any relevant projects you've worked on. We want to see how you can contribute 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 and how your background makes you a great fit for the QR Prime Financial Service team. Be genuine and let your personality come through.

Showcase Your Problem-Solving Skills: In your application, include examples of how you've tackled complex problems in the past. Whether it's through coding or mathematical modelling, we love to see how you approach challenges and find solutions that drive results.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you'll find all the details you need about the role and our team there!

How to prepare for a job interview at JPMorganChase

✨Know Your Quantitative Stuff

Make sure you brush up on your knowledge of FnO/OTC derivatives, risk/PnL methodologies, and mathematical models. Be ready to discuss how you've applied these concepts in previous roles, as this will show your understanding and expertise.

✨Show Off Your Coding Skills

Since strong coding skills in Python or C++ are crucial for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice debugging complex logic and navigating large libraries beforehand.

✨Communicate Clearly

Excellent communication is key, especially when explaining model behaviour or collaborating with non-tech stakeholders. Practice articulating complex ideas simply and clearly, as this will help you engage effectively during the interview.

✨Be a Team Player

Highlight your experience working in teams and delivering high-quality results. Share examples of how you've collaborated with others to drive projects from brainstorming to production delivery, as this aligns with the team-oriented culture they value.

Quantitative Research - Prime Financial Service - Associate
JPMorganChase

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

J
Similar positions in other companies
UK’s top job board for Gen Z
discover-jobs-cta
Discover now
>