Machine Learning Quantitative Researcher

Venture Search

London

On-site

GBP 70,000 - 90,000

Full time

14 days+

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Job summary

A global trading firm in London is looking for a Senior Consultant in Machine Learning to design and deploy advanced models for trading strategies. The ideal candidate will have extensive experience in machine learning, strong programming skills in Python and C++, and a passion for solving complex problems in financial environments. This full-time role provides an exciting opportunity to work with leading technology in an innovative space.

Qualifications

  • 3+ years of experience building ML models for time-series financial datasets.
  • Strong programming expertise, especially in Python and/or C++.
  • Collaborative mindset contributing in multidisciplinary settings.

Responsibilities

  • Design and deploy deep-learning-based models for trading strategies.
  • Collaborate with teams to refine models and explore algorithmic solutions.
  • Translate large datasets into actionable trading signals.

Skills

Machine Learning
Python
C++
Deep Learning
Statistical Analysis

Education

Advanced degree in Machine Learning or related field

Tools

PyTorch
TensorFlow

Job description

Direct message the job poster from Venture Search

Senior Consultant at Venture Search - Hedge Funds & Proprietary Trading

Location: London / Dublin

Venture Search has partnered with a leading global proprietary trading firm known for its decades of experience, advanced use of technology, quantitative research, and market innovation.

Our partner is now expanding their Machine Learning division and seeking exceptional researchers to join their teams in London and Dublin.

The Role:

  • Design, build, and deploy deep-learning-based models to forecast market behaviour and enhance trading strategies.
  • Collaborate closely with researchers, engineers, and traders to refine models and explore innovative algorithmic solutions.
  • Develop scalable end-to-end research pipelines and conduct experiments using modern ML frameworks.
  • Apply scientific methods to translate large, complex datasets into actionable trading signals.
  • Work with engineering teams to integrate your research into live production systems.

What We’re Looking For:

  • An advanced degree in Machine Learning, Computer Science, Statistics, or a related quantitative discipline—or equivalent research-driven professional experience.
  • At least 3 years of experience building and deploying ML models, especially for time-series financial datasets.
  • Demonstrated ability to derive predictive insights from large-scale data.
  • Strong programming expertise in Python and/or C++, with hands-on experience using ML frameworks like PyTorch or TensorFlow in production settings.
  • Deep learning experience applied to forecasting, signal generation, and optimization.
  • Robust foundations in mathematics, statistics, and algorithmic thinking, coupled with exceptional analytical problem-solving skills.
  • A collaborative mindset with the ability to contribute meaningfully in multidisciplinary research-engineering-trading settings.
  • A passion for solving complex problems and delivering measurable impact in fast-paced financial environments.
Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Finance

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