Our client builds the technology and systems that redefine markets. They're a research-driven quantitative trading firm where software is central to every decision, and Python is the backbone of our strategy development and execution stack.
We're looking for a world-class Python Software Engineer who writes clean, fast, production-grade code—and knows how to work where performance meets precision.
What You'll Work On:
Architect tools and infrastructure for quantitative research and trading strategy development.
Build robust data pipelines ingesting terabytes of market and alt data with sub-second latency
Design elegant APIs to connect researchers, trading systems, and execution engines
Automate everything: backtesting, model deployment, risk analytics, and real-time reporting
What Sets You Apart:
Deep experience with Python in a high-performance, production-grade setting.
Strong fundamentals in software engineering: testing, version control, CI/CD, clean architecture
Passion for building internal tools, research frameworks, or working on data-heavy systems
Bonus: Exposure to pandas, NumPy, asyncio, Cython, or PyArrow. Familiarity with C++ is a plus
Bonus++: Experience working with quants, data scientists, or in trading environments
Computer Science or technical degree from a reputable university
Tech Stack:
Python 3.11+ (fast, modern, typed)
Dask, pandas, PyArrow, NumPy
PostgreSQL, Parquet, S3
Airflow, Docker, Kubernetes, GitLab CI
Internal frameworks built for scale and speed
Why Join:
Engineers own projects end-to-end—from design to deployment to impact
Work side-by-side with quants, traders, and researchers in a flat, fast-moving team
Competitive compensation at the top of the market, with research-aligned bonuses
No bureaucracy. No legacy. Just smart people solving hard problems, fast