Python Quant Developer for Live Trading Systems

Storm2

United States

On-site

USD 150,000 - 210,000

Full time

14 days+

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Job summary

Storm2 is seeking a quantitative developer for a client in the United States. You will work directly with traders to translate pricing ideas and trading logic into production‑grade Python systems that support pricing, execution, and risk management in fast‑moving markets.

The role blends research and engineering, requiring hands‑on development with market data, backtesting frameworks, and production deployment.

Qualifications

Advanced Python development skills and experience working with market or order book datasets.
Strong understanding of probability, statistics, model validation, and backtesting practicalities.
Experience working directly with traders to translate requirements into robust software.
Track record of taking projects from idea through deployment and iteration.
Experience in sports trading, exchange betting, sportsbook pricing, or market making.

Responsibilities

Partner directly with traders to translate pricing and trading strategies into production‑ready Python systems.
Build fair value models, pricing engines, quoting logic, and inventory management tools.
Develop simulation and back testing frameworks that reflect live market conditions.
Integrate strategies into production trading environments.
Monitor live performance and investigate unexpected system or market behaviour.
Analyze liquidity, order flow, market microstructure, and portfolio exposure.
Work with engineering and trading teams to improve execution quality and reliability.