Quantitative Machine Learning Expert

3 days ago


London, Greater London, United Kingdom Selby Jennings Full time

At Selby Jennings, we are expanding our centralised machine learning functions and seeking a highly skilled C++ Analyst to join our team. As a Quantitative Machine Learning Expert, you will research and develop machine learning models tailored to financial data and trading applications.

Key Responsibilities:
  1. Work closely with quantitative analysts, portfolio managers, and engineers to integrate ML models into live trading environments.
  2. Stay abreast of emerging machine learning techniques and evaluate their applicability to finance.

We offer a competitive salary of $140,000 per annum, reflecting the high demand for skilled professionals in this field.

Preferred Qualifications:

  • PhD or Master's degree in Computer Science, Machine Learning, Mathematics, Statistics, or a related quantitative field.
  • Expertise in machine learning techniques such as supervised learning, reinforcement learning, deep learning, or unsupervised methods.
  • Proficiency in Python, R, or C++ and ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
  • Familiarity with financial data (e.g., time series, tick data) and domain-specific challenges like low signal-to-noise ratios.
  • 3+ years of experience in ML research or applications, preferably within a financial or quantitative context.
  • Exceptional ability to solve complex problems with a structured, data-driven approach.


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