Senior Research Engineer Position

1 week ago


London, Greater London, United Kingdom Global Trading Firm Full time

This is a unique opportunity to contribute to the development of our trading model research framework and its integration with our platform for deploying/running those models in production. As a Senior Research Engineer/Machine Learning expert, you will play a key role in helping Global Trading Firm maintain its position as a leading proprietary trading firm with an entrepreneurial and innovative culture.

">Job Description:
  • Design and develop global research frameworks for defining and training models through various optimization procedures (supervised learning, backtesting etc.), as well as their integration with our platform for deploying and running those models in production
  • Collaborate with Quantitative Researchers and Traders to test hypotheses and tune/develop data-driven systematic trading strategies
  • Fine-tune requirements, collect feedback, and iterate on design and implementation of research tools
Requirements:
  • Advanced degree (Master's or PhD) in a relevant field such as computer science or mathematics
  • At least 5 years of hands-on experience in MLOps and Research Engineering
  • Strong proficiency in programming languages like Python, with expertise in libraries such as TensorFlow, PyTorch, and scikit-learn
  • Demonstrated experience in designing and implementing commercial-grade systematic trading systems
  • Experience in developing and deploying RESTful APIs and microservices for model serving
  • Familiarity with Big Data technologies like Hadoop and Spark
  • Proficiency in data visualization and reporting tools
  • Familiarity with databases and query languages for data extraction and transformation
  • Solid understanding of modern software development practices and tools
  • Familiarity with cloud platforms like AWS, Azure, GCP, and containerization technologies like Docker, Kubernetes
Compensation:

$150,000 - $200,000 per year



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