London, London, United Kingdom
Actively hiring, first seen by us 13 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Develop 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
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
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
Actively hiringFirst seen by us 13 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 13
Similar jobs usually come down between day 8 and day 59.
At JPMorgan Chase, jobs usually come down by about day 15.
From 11,367 similar postings that came down, and 967 of JPMorgan Chase’s. Coming down is not always a hire.
366 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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.
- 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
Complete your application on jpmc.fa.oraclecloud.com. The employer’s form will show what is required.
Already applied? Track this application
New Data Scientist postings at the employers we follow are down 6% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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 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, 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
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
London, London, United Kingdom
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.