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Graham Capital Management, L.P.

Machine Learning Engineer

Graham Capital Management, L.P. · London, England, United Kingdom

Posted about 3 months ago

or apply directly on Graham Capital Management, L.P.'s site. We never take the application ourselves.

Is this posting real?

This role has been open
81 days
Graham Capital Management, L.P.'s roles stay open a median of 82 days
Reposted
No
Salary listed
No
64% of Graham Capital Management, L.P.'s roles list one
Ghost-job risk at Graham Capital Management, L.P.
high
7 stale, 1 reposted of 11 open
Hiring momentum
15 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-24

Measured from postings appearing on and disappearing from Graham Capital Management, L.P.'s own greenhouse board since 2026-08-03. Full hiring picture for Graham Capital Management, L.P..

About this role

As a Machine Learning Engineer at Graham Capital Management, you will be part of the Data Science team, focusing on developing innovative solutions to complex problems in the finance sector. Your role involves analyzing large datasets, building forecasting models, and collaborating with various teams to enhance quantitative research and trading strategies. You will leverage machine learning and advanced statistical methods to support the firm's objectives and provide insights that drive decision-making.

Our read on this posting2.0out of 5
benefits
1/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Graham Capital Management, L.P. as an employer.

What you need

  • Undergraduate or higher degree in Computer Science, Engineering, Operations Research, or other quantitative discipline
  • 3+ years of hands-on experience with Machine Learning and Statistics on large, unstructured data sets
  • Ability to clearly communicate research findings to technical and nontechnical stakeholders
  • Full-stack experience with Python (preferred) or C++, Spark/Scala, SQL or other distributed data processing technologies
  • Experience with scientific computing, statistics, optimization, time series, panel data, etc.
  • Detail-oriented mindset

Nice to have

  • Experience writing production code for multi-client systems serving model results is a great plus
  • Comfortable handling multiple projects to solve varied problems working with multiple teams

Worth weighing

  • This role requires commuting into the London office Mondays through Fridays.
  • The position involves working closely with various teams, which may require adaptability to different workflows.

Summarised from Graham Capital Management, L.P.'s posting. Read the full original.

Listed by Graham Capital Management, L.P. on their greenhouse job board, last confirmed open on 2026-10-24. PitchMeAI is not the employer.

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