Job Description
You think in time series, signals, and regimes.
You care about insight quality, not academic purity.
You want your models tested by markets, not papers.
If you dislike messy data and real-world constraints, this is not your role.
The Role, In Plain English
You will build quantitative and ML-driven insight systems using structured time series data.
This role exists to turn raw financial data into actionable investor signals.
You will work closely with engineers to productionize quant logic.
What You’ll Be Responsible For
- Develop models using structured financial time series
- Build insight generation and scenario analysis pipelines
- Collaborate with backend engineers to deploy models in production
- Evaluate signals based on real investor outcomes
- Improve attribution and explainability
What “Good” Looks Like in This Role
After 3 months:
Shipping si...