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JPMorgan Chase & Co.

Quantitative Trading & Research – Securities Services and Payments – Associate or Vice President

London
Posted about 15 hours ago
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Quantitative Trading & Research (QTR) is an expert group in J.P. Morgan specializing in statistical modelling, data analytics, balance sheet optimization, and other quantitative methods to support the Commercial and Investment Bank (CIB). The QTR Securities Services and Payments team applies cutting-edge AI/ML techniques to fundamentally transform the way we do business by enabling business revenue growth and efficiency within the CIB organization.

Job Summary

As an Associate or a Vice President in the Quantitative Trading & Research (QTR) Securities Services and Payments, you will support the business in tackling their most technically complex business problems to optimize revenue and manage risks. This could range from developing AI/ML applications that make business-critical predictions such as client pricing, to handling vast data sets using the J.P.Morgan's Cloud capabilities or optimal hedging policies for interest rate risk management. You will be in tight partnership with the business in identifying their most pressing pain points and iterating towards a solution that really works for them. If you are passionate about solving real-world problems using your quantitative background and experience, this may be just the team for you.

Job responsibilities

  • Work with business leads to develop AI/ML-driven analytics and automation that support their business goals.
  • Build up a scalable data architecture to handle the large volume of transaction data.
  • Automate existing manual processes and build tools to enable the business to optimize their decision making and deposit management.
  • Build sequential decision making tools to optimize the net interest income of the business under various liquidity, capital, and balance sheet constraints.
  • Drive projects end-to-end, from brainstorming, prototyping, data processing, data analysis to model development.
  • Make real-world, commercial recommendations through effective presentations to various stakeholders.
  • Leverage data visualization to communicate quantitative insights to help business decision-making.
  • Work closely with colleagues in Quantitative Research, CIB Treasury, Chief Investment Office, Technology, and the Chief Data and Analytics Office (CDAO) to drive the CIB data strategy forward.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Required qualifications, capabilities, and skills

  • Advanced degree (PhD or MS) or equivalent in a quantitative field: Physics, Mathematics, Computer Science, Engineering, etc.
  • Robust understanding of Machine Learning, Statistics, and Mathematics, both in fundamentals as well as in application.
  • Experience in tackling real world data science problems, end-to-end from prototype to production, using Python.
  • Excellent communication skills (both verbal and written) and the ability to present findings to a non-technical audience.
  • Passion for learning, sharing knowledge, building collaborations, and getting things done.

Preferred qualifications, capabilities, and skills

  • Participation in KDD/Kaggle competition, Hackathons, or contribution to GitHub.
  • You demonstrate hands-on experience in solving sequential decision making problems.
  • Experience in applying LLMs and/or deep learning methods to solve business problems.
  • Experience in working with Cloud and/or HPC environments.

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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. Visit our FAQs for more information about requesting an accommodation.

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.

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Skills

Machine Learning
Statistics
Mathematics
Python
Data Analytics
AI/ML
Data Architecture
Sequential Decision Making
Data Visualization
Cloud Computing
HPC
LLMs
Deep Learning
Financial Modeling
Risk Management
Communication Skills

Location

London, England, United Kingdom

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