Quantitative Machine Learning Expert
3 days ago
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:- Work closely with quantitative analysts, portfolio managers, and engineers to integrate ML models into live trading environments.
- 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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