Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will collect and analyze large financial datasets, identify patterns, and apply statistical analysis, machine learning, and data engineering to forecasts and predictive trading models. You will own research projects from predictive modeling and alpha research through improvements to live-trading models and systems, while collaborating with scientists, traders, and engineers.
Requirements
- Currently pursuing a PhD in Statistics, Mathematics, Physics, Machine Learning, or another highly quantitative field
- Systematic research thinking, including hypothesis formation, rigorous testing, and statistically sound conclusions
- Experience conducting an in-depth research project with real-world data
- Python programming experience, including reading, understanding, and debugging code
- Machine learning knowledge
- Ability to communicate and collaborate effectively
- Research ownership
- Creativity and initiative
- Interest in advancing machine learning within the trading community
- Reliable and predictable availability
Responsibilities
- Collect and analyze large financial datasets
- Identify market patterns and extract insights
- Apply statistical analysis, machine learning, and data engineering to forecasts and predictive trading models
- Own research projects end to end
- Conduct predictive modeling and alpha research on new datasets
- Improve models and systems behind live trading
- Collaborate with scientists, traders, hardware developers, software developers, and market-facing business teams
Benefits
- Discretionary bonus eligibility
- Medical, dental, and vision insurance
- HSA, FSA, and dependent care options
- Employer-paid group term life and AD&D insurance
- Voluntary life and AD&D insurance
- Paid vacation and paid holidays
- Retirement plan with employer match
- Paid parental leave
- Wellness programs