Time since we first saw it
Day 3
Early. Similar jobs usually come down between day 8 and day 76.
From 5,460 similar postings that came down. Coming down is not always a hire.
Quantitative Engineer – GM Distribution Quant Analytics
Location not stated
Actively hiring, first seen by us 3 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingBuild and run analytics and AI services end to end, from data and models to user tools
Assess data and select the right approach for Distribution problems
Partner with sales and trading desks, quants and developers to frame problems
Own implementation, data quality, monitoring, cost and releases while leading a team
Reuse existing solutions where appropriate and raise engineering standards
From the employer’s posting
design, build and run analytics and AI services end to end, from data and models through to the tools people use
solve real Distribution problems by assessing the data, selecting the right approach, building solutions
partner directly with sales and trading desks, quants, and developers to frame problems and deliver working solutions
owning implementation, data quality, monitoring, cost, and releases
reusing existing solutions where appropriate
Posting record
Report an errorActively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 10, 20263 days ago
- Recorded sightings
- 4
- Last seen by us
- Nov 13, 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
krb-sjobs:25008:5012 is hiring
18 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 10% 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.
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
Do you want to build analytics and AI solutions that directly influence Global Markets Distribution? Are you excited by solving real business problems with the right technology, whether that’s a simple statistical model or a modern LLM-based system? Do you enjoy turning ideas into production tools that win business and save people time?
We are looking for a Quantitative Engineer to:
• lead a team while remaining a hands-on engineer, owning implementation, data quality, monitoring, cost, and releases
• solve real Distribution problems by assessing the data, selecting the right approach, building solutions, and putting them in front of users
• design, build and run analytics and AI services end to end, from data and models through to the tools people use
• partner directly with sales and trading desks, quants, and developers to frame problems and deliver working solutions
• choose the right technique for each problem, reusing existing solutions where appropriate
• raise engineering standards and help grow the team as we continue to hire
We are looking for a Quantitative Engineer to:
• lead a team while remaining a hands-on engineer, owning implementation, data quality, monitoring, cost, and releases
• solve real Distribution problems by assessing the data, selecting the right approach, building solutions, and putting them in front of users
• design, build and run analytics and AI services end to end, from data and models through to the tools people use
• partner directly with sales and trading desks, quants, and developers to frame problems and deliver working solutions
• choose the right technique for each problem, reusing existing solutions where appropriate
• raise engineering standards and help grow the team as we continue to hire
Source details
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- Work authorization
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