Machine Learning Engineer

Graham Capital Management

London, United Kingdom
On-site
3+ years experience with machine learning
Python or c++ full-stack development
Time series and panel data analysis
The role involves designing and implementing processes that feed Quantitative Research and Discretionary Trading teams

Job Summary

  • The role involves designing and implementing processes that feed Quantitative Research and Discretionary Trading teams.
  • Candidates will work with billions of market data ticks and diverse text corpora to support live trading models.
  • The team collaborates closely with Portfolio Managers, Risk, and Operations to develop cutting-edge data solutions.

Matching Summary

The role involves designing and implementing processes that feed Quantitative Research and Discretionary Trading teams.

Skills & Requirements

Must-have

  • 3+ years experience with Machine Learning
  • Python or C++ full-stack development
  • Time series and panel data analysis
  • Distributed data processing with Spark/Scala
  • Containerized model deployment

Nice-to-have

  • Production code for multi-client systems
  • Strong communication with non-technical stakeholders
  • Experience with alternative financial data sources
  • Ability to handle multiple projects simultaneously

Key Requirements

  • Undergraduate degree in Computer Science or related field
  • 3+ years hands-on ML and Statistics experience
  • Full-stack Python or C++ proficiency
  • Experience with SQL and distributed processing technologies

Work Rights

Not specified

Tailored Resume

Cover Letter