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GM Distribution - Quantitative Analyst/Engineer

Pay
Pay not listed
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Build analytics and AI services end to end, from data and models to user tools

  • Own implementation, data quality, monitoring, cost and releases

  • Assess data and choose the right approach for each Distribution problem

  • Partner with sales and trading desks to frame problems and deliver solutions

  • Raise engineering standards and help grow the team

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
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
partner directly with sales and trading desks, quants, and developers to frame problems and deliver working solutions
raise engineering standards and help grow the team as we continue to hire
Apply at krb-sjobs:25008:5012

Posting record

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Actively 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
Employer says posted
Oct 29, 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

Time since we first saw it

Day 3

Early. Similar jobs usually come down between day 8 and day 60.

From 11,783 similar postings that came down. Coming down is not always a hire.

krb-sjobs:25008:5012 is hiring

18 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

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Has krb-sjobs:25008:5012 posted this job before?

Yes. We’ve followed 2 other GM Distribution - Quantitative Analyst/Engineer jobs there since November 2026. All 2 are still up.

  1. Place not statedStill up after 3 days, first seen Nov 10
  2. Place not statedStill up after 3 days, first seen Nov 10
  3. This jobUp 3 days so far, first seen Nov 10

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 1,403, the most 2,949, and the latest week had 2,098.
August 17Last week

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 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.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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:

• 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

View original posting ↗

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