Careers
We hire agentic quant research engineers who like scoreboards, clean rails, and seeing their solutions deployed. Clear the gates, then deploy.
Ideal profile
- Python + modern backtesting fluency; strong rigor.
- Kaggle‑caliber: benchmark‑driven, comfort with public scoring.
- Agentic workflows (frameworks or custom orchestration).
- Strong grasp of leakage, CV, and risk discipline.
- Not discretionary decision-making—this is algorithm and infra building.
Why join vs solo
- Leverage: infra + data + compute you don't have to build alone.
- Recognition: scoreboards, gates, and badges for cleared models.
- Learning velocity: work with peers who ship and scrutinize.
- Skin in the game: path from proof to deployment.
What you'll build
- Low‑cost ingestion for external predictions and metadata.
- Backtest scaffolding with leakage‑aware validation and walk‑forward analysis.
- Agentic coders that translate scripts/transcripts into strategies.
- Ranking and deployment gates tied to risk and stability.
Comp & setup
- Remote. Fast‑shipping startup pace with research‑level rigor.
- Base is lean; upside is market‑driven via internal signals.
- No code or strategy leakage; personal projects allowed with rules.
Apply
Send a brief note and links (GitHub/Kaggle/Notebooks) to careers@provata.ai. Include a concise example of a robustness‑verified backtest you're proud of.