Turn financial and commercial data into decision-ready insights, evaluate business performance and ROI, and build automated analytical workflows in partnership with Finance, Data Engineering, and Data Science.
Systematic Trader
📜 Description
- Operate systematic strategies across prediction markets, equities, and crypto, including spot and derivatives.
- Monitor live trading, P&L, positions, risk, and execution performance.
- Research, backtest, deploy, and improve systematic strategies.
- Identify trading opportunities across markets, products, exchanges, and venues.
- Analyze fills, slippage, adverse selection, transaction costs, and latency; optimize strategy parameters, sizing, execution, and risk controls.
- Collaborate with quantitative developers and researchers on strategies and trading systems; participate in local and rotating weekend coverage.
🛠️ Requirements
- 4+ years of experience in systematic, quantitative, electronic, proprietary, or market-making trading.
- Demonstrated experience developing, operating, or improving profitable trading strategies.
- Strong understanding of market microstructure, execution, and risk management.
- Strong Python programming and quantitative data-analysis skills.
- Experience working with large market and trading datasets; SQL experience is preferred.
- Strong analytical and problem-solving skills, with the ability to take ownership in fast-moving markets.
- Master's or PhD degree in a quantitative discipline, or equivalent relevant quantitative experience.
- Experience trading in one or more of prediction markets, equities, or crypto markets.
- Experience with market making, statistical arbitrage, relative value, arbitrage, or other systematic strategies.
- Experience with exchange APIs, order-book or tick-level data, automated execution, or real-time trading systems.
Full job description
We are looking for an experienced Systematic Trader to develop, operate, and continuously improve systematic strategies in fast-moving electronic markets.
Responsibilities:
Requirements:
Preferred:
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