For investment managers
Add a quant R&D function without building the whole desk.
Bring the market judgment. We build the quantitative research function around it.
A PM may already understand the market and have a thesis. The bottleneck is turning that thesis into an institutional-quality research process, challenging it honestly, carrying it into production, and explaining the resulting system under diligence.
Volatility Street can operate as that research function. The manager retains every investment decision and all execution.
01
Strategy R&D
From thesis to a specification that has been honestly challenged.
- Objective and target definition
- Point-in-time datasets
- Feature and mechanism research
- Model development against simple baselines
- Walk-forward and robustness testing
- Tail and regime analysis
02
Production & monitoring
The system that goes live is the system that was tested.
- Data pipelines and live feature computation
- Model serving and signal generation
- Research/live parity checks
- Drift, calibration, and system monitoring
03
Technical diligence
When investors and platforms ask how the strategy works, the answers already exist.
- Explain the research methodology to investors
- Document model governance
- Distinguish hypothetical, backtested, and live results
- Respond to technical diligence questions
- Explain where risk comes from and how it changes by regime
- Provide reproducible evidence behind claims
The research stack already exists.
An engagement doesn't start with six months of building data pipelines and a validation harness. That work is done. The first weeks go to your question. See the infrastructure
Engagements run as a scoped research project or as a standing external research function. See engagement structures
Tell us where the research function is thin.
First conversation is free. If it isn't a fit, we'll say so.
Discuss a research problemAll deliverables are quantitative analysis. Vol St. does not provide investment advice.