Senior Retail Trading Analyst – Prediction Markets

Assess events and trading behavior

Evaluate market events and the behavior of retail traders to support AI training. Your analysis will connect current news, price action, investor psychology, and uncertainty rather than treat market outcomes as certain.

• Assign reasoned probabilities to actual market events and explain your assessment.
• Examine how retail traders react to catalysts, volatility, macroeconomic developments, and sentiment.
• Assess prediction signals across equities, cryptocurrency, macroeconomics, and global news.
• Label datasets relating to trading activity and market events.
• Analyze crowd behavior and retail trading flows.
• Write concise rationales supported by market developments and investor behavior.

Trading background

You should be an active or recent trader or investor with regular market involvement. The role requires familiarity with prediction markets, trading tools, and retail investor behavior, along with confidence reasoning about probability and uncertainty.

Staying informed about finance, macroeconomics, and geopolitical developments is important. You will also need clear writing, consistent judgment, and the ability to work independently.

Useful additional experience

Experience with Kalshi, Polymarket, or PredictIt would be helpful. Other relevant backgrounds include retail brokerage, financial analysis, market research, technical analysis, options flow, sentiment analysis, and behavioral finance.

Previous data annotation or AI evaluation work is a plus.

Working arrangement

This is an hourly remote contract with flexible, asynchronous work. There may be opportunities for ongoing assignments or a contract extension.