Senior Research Engineer
Flow Traders provides continuous liquidity across global financial markets through technology-enabled market making and trading services.
About Flow Traders
Flow Traders helps institutional clients and market participants access liquidity across multiple asset classes through continuous market making services. You can trade ETPs, digital assets, fixed income, commodities, and FX products with enhanced execution quality. Flow Traders reduces trading costs and increases market efficiency through proprietary technology and global presence.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will help lead the development of Flow Traders' trading model research framework and use it to conduct research to develop models for production trading. You will expand the framework for training, consuming, combining, and transforming data sources, and partner with Quantitative Researchers to build trading models.
Requirements
- Advanced degree (Master's or PhD) in Machine Learning, Statistics, Physics, Computer Science, or a similar field.
- 8+ years of hands-on experience in MLOps, Research Engineering, or ML Research.
- Strong background in mathematics and statistics.
- Strong proficiency in Python and experience with numpy, pytorch, polars, pandas, and ray.
- Experience designing and implementing end-to-end machine learning pipelines, including data preprocessing, model training, deployment, and monitoring.
- Experience with modern software development practices and tools such as Agile, version control, automated testing, CI/CD, and observability.
- Understanding of cloud platforms such as AWS, Azure, and GCP, plus containerization technologies such as Docker and Kubernetes.
Responsibilities
- Help lead the development and global rollout of the research framework for defining and training models through supervised learning, backtesting, and other optimization procedures.
- Integrate the research framework with the platform for deploying and running models in production.
- Partner with Quantitative Researchers to conduct research.
- Test hypotheses and tune or develop data-driven systematic trading strategies and alpha signals.
- Develop data-driven systematic trading strategies and alpha signals.