Systematic Trader.

Responsibilities:

Operate and manage systematic trading strategies and frameworks across prediction markets, equities, and crypto, including spot, perpetuals, futures, options, and other derivatives.
Monitor live trading, P&L, positions, risk, and execution performance.
Research, backtest, deploy, and improve systematic trading strategies.
Identify new trading opportunities across markets, products, exchanges, and venues.
Analyze strategy and execution performance, including fills, slippage, adverse selection, transaction costs, and latency.
Optimize strategy parameters, position sizing, execution, and risk controls.
Work closely with quantitative developers and researchers to implement new strategies and improve trading systems.
Participate in local trading coverage 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.

Preferred:

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.
C++ experience is a plus.