Senior Research Engineer (Based in Hong Kong)

Flow Traders; New York (NY); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Flow Traders is seeking a Senior Research Engineer based in New York, who will be relocated to Hong Kong. This role involves leading the development of trading model research frameworks and collaborating with Quantitative Researchers.

The ideal candidate holds an advanced degree and has substantial experience in MLOps and machine learning, with a strong proficiency in Python and relevant libraries. This position offers a unique opportunity in a thriving proprietary trading firm.

Qualifications

• Advanced degree in relevant fields.
• 8+ years of experience in MLOps, Research Engineering, or ML Research.
• Strong proficiency in Python and machine learning pipelines.

Responsibilities

• Lead development of research framework for trading models.
• Conduct research with Quantitative Researchers.

Skills

MLOps

Machine Learning

Statistics

Programming in Python

Data Analysis

Education

Master's or PhD in Machine Learning, Statistics, Physics, Computer Science or similar

Tools

Python libraries (numpy, pytorch, polars, pandas, ray)

Cloud platforms (AWS, Azure, GCP)

Containerization technologies (Docker, Kubernetes)

Job description

Senior Research Engineer (Based in Hong Kong)

New York

Flow Traders is looking for a Senior Research Engineer, successful candidate will be relocated to our Hong Kong Office. This is a unique opportunity to join a leading proprietary trading firm with an entrepreneurial and innovative culture at the heart of its business. We value quick‑witted, creative minds and challenge them to make full use of their capacities.

As a Senior Research Engineer, you will be responsible for helping to lead the development of our trading model research framework and using it to conduct research to develop models for trading in production. You'll expand the framework to become a global standard way of training, consuming, combining, and transforming any data source in a data‑driven systematic way. You will then partner with Quantitative Researchers to build the trading models themselves.

What You Will Do

• Help to lead the development and global rollout of our research framework for defining and training models through various optimization procedures (supervised learning, backtesting etc.), as well as its integration with our platform for deploying and running those models in production
• Partner with Quantitative Researchers to conduct research: test hypotheses and tune/develop data‑driven systematic trading strategies and alpha signals

What You Need to Succeed

• Advanced degree (Master's or PhD) in Machine Learning, Statistics, Physics, Computer Science or similar
• 8+ years of hands‑on experience MLOps, Research Engineering, or ML Research
• A strong background in mathematics and statistics
• Strong proficiency in programming languages such as Python, with experience in libraries like numpy, pytorch, polars, pandas, and ray.
• Demonstrated experience in designing and implementing end‑to‑end machine learning pipelines, including data preprocessing, model training, deployment, and monitoring
• Understanding of and experience with modern software development practices and tools (e.g. Agile, version control, automated testing, CI/CD, observability)
• Understanding of cloud platforms (e.g. AWS, Azure, GCP) and containerization technologies (e.g. Docker, Kubernetes)