Python Engineer
7 days ago
**The Role in a Nutshell**
You’ll be the **go-to problem solver** for quant researchers, ensuring they have clean, structured, and instantly accessible data for modeling. Your work will involve:
- **Transforming raw, messy datasets** (market data, alternative data, unstructured feeds) into research-ready formats.
- **Building high-efficiency pipelines** in** Python** (this is about lean, performant code).
- **Creating simulations and tooling** that let quants test ideas faster.
- **Automating data validation** so researchers can trust what they’re working with.
This isn’t a generic data engineering role—you’ll be **deep in the trenches with quants**, understanding their needs and building solutions that give them an edge.
**Who We’re Looking For**
- **A Python expert** who writes **clean, fast, maintainable code** (think Pandas, NumPy, async/await, multiprocessing).
- Someone who’s **obsessed with data quality**—you notice edge cases before they become problems.
- A **pragmatic builder** who can take a vague research ask and turn it into a scalable pipeline.
- Experience with **cloud infra (AWS/GCP), schedulers, and CI/CD**—you know how to ship robust systems.
- Bonus points if you’ve worked with **financial/time-series data** or have a quantitative background.
**Why This Role?**
- **Direct impact on trading strategies**—your work enables the research behind them.
- **Zero bureaucracy** around tools—use what makes sense (as long as it’s Python).
- **Collaborate with world-class quants** who rely on your systems daily.
If you love **solving hard data problems with code**, this is your niche.
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