Data Science Team Lead
7 days ago
About Us
Flow Traders is a forward-thinking company that thrives on innovation and collaboration. We're looking for a highly skilled Senior Research Engineer to join our team in New York and help drive the development of our research framework.
What We Offer
As a Senior Research Engineer, you'll have the opportunity to work with a talented team of researchers and traders to develop cutting-edge trading strategies. You'll be responsible for leading the development and global rollout of our research framework, as well as developing tools and frameworks for use by our Quantitative Researchers and Traders.
Key Responsibilities
- Lead the development and integration of our research framework with our platform for deploying and running models in production
- Develop tools and frameworks for use by our Quantitative Researchers and Traders to test hypotheses and tune/develop data-driven systematic trading strategies
- Collaborate with the business to refine requirements, collect feedback, and iterate on design and implementation of research tools
Requirements
- Advanced degree (Master's or PhD) in a relevant field
- 5+ years of hands-on experience in MLOps and Research Engineering
- Strong proficiency in programming languages such as Python, with experience in libraries like TensorFlow, PyTorch, and scikit-learn
- Demonstrated experience in designing and implementing end-to-end machine learning pipelines, including data preprocessing, model training, deployment, and monitoring
- Prior commercial experience in designing and implementing systematic trading systems
- Experience in developing and deploying RESTful APIs and microservices for model serving
- Familiarity with Big Data technologies such as Hadoop and Spark
- Experience with data visualization and reporting tools
- Familiarity with databases and query languages for data extraction and transformation
- Understanding of and experience with modern software development practices and tools (e.g. Agile, version control, automated testing, CI/CD, observability)
- Solid understanding of cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes)
Why Work with Us?
We're committed to creating a collaborative and inclusive environment where our employees can thrive. Our employees are eligible to share in the company's success through an annual discretionary variable remuneration allocated based on company, group, and individual performance and contribution.
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