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Day 6
Similar jobs usually come down between day 6 and day 69.
From 4,347 similar postings that came down. Coming down is not always a hire.
Quantitative Trading & Research – Securities Services – Analyst or Associate
London, London, United Kingdom
Actively hiring, first seen by us 6 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDevelop AI/ML-driven analytics and automation with business leads
Build scalable data architecture for large transaction data volumes
Build sequential decision making tools to optimize net interest income
Drive projects end-to-end from prototyping to model development
Present commercial recommendations to stakeholders
From the employer’s posting
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
Build sequential decision making tools to optimize the net interest income of the business
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
Education & alternatives
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
Posting record
Report an errorActively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 29, 20266 days ago
- Recorded sightings
- 7
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
JPMorgan Chase is hiring
418 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down at a usual pace
- 3% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
Where the posting names them
- 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
Your next step
Complete your application on jpmc.fa.oraclecloud.com. The employer’s form will show what is required.
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About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
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 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 Analyst / Associate in the QTR Securities Services team, you will support the business in tackling their most technically complex business problems. This could range from leveraging LLMs to deliver capabilities at scales never before possible, to developing ML applications that make business-critical predictions, to handling vast data sets using the J.P.Morgan's Cloud capabilities. 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 dataAutomate 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, Technology and the Chief Data and Analytics Office (CDAO) to drive the CIB data strategy forward
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
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
London, London, United Kingdom
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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