Senior Research Engineer
A research engineering role leading Flow Traders' model training framework and rolling it out globally. You work with quantitative researchers to test ideas and build trading models and alpha signals.
What you’d work on
Our reading of the posting: what a new hire in this role would most likely spend their first months on.
- Lead the research framework for training and back-testing models
- Integrate it with the production model platform
- Partner with quants on hypotheses and signal development
- Standardise how data sources are consumed and combined
What they ask for
Required
- Master's or PhD in ML, statistics, physics or computer science
- 5+ years in MLOps, research engineering or ML research
- Maths and statistics
- Python with numpy, pytorch, polars, pandas, ray
- End-to-end ML pipelines
- Cloud and containers
- Education
- Master's or PhD in machine learning, statistics, physics, computer science or similar
- Experience
- 5+ years in MLOps, research engineering or ML research
- Languages and tools
How to prepare
- Build a back-testing and training framework with versioned data and tests
- Learn distributed tools like Ray and fast dataframes in Polars
- Practise ML pipelines from preprocessing to monitoring
- Understand alpha research basics so you can build tools for researchers
What to study
- Quantitative Data Engineering
- Financial Machine Learning
- Quantitative Research, Data and Backtesting
- Python for Quantitative Finance
The NLP and ML Quant Researcher roadmap sets out the stages for this kind of role, with free resources for each.
Open the roadmapApply
Read the full posting on Flow Traders’s site before applying: requirements, location and pay can change after we check them.
View the posting on Flow Traders’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Flow Traders and doesn’t handle applications.