Earnings Volatility Trader (Remote, Funded Options Trader) — Milwaukee, WI
Menomonee Falls, Waukesha County, Wisconsin, 53051, USA
Listed on 2026-08-16
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Finance & Banking
Financial Analyst, Trading - Equity / Derivatives / Quantitative
An earnings volatility trader at Maverick specializes in the predictable volatility patterns around quarterly earnings releases. The strategy is highly seasonal — earnings season is intense, off-season is quiet — and the trader is expected to manage the rhythm of that cycle, not to force trades during slow weeks.
Milwaukee, WI: Milwaukee hosts Northwestern Mutual's headquarters, Robert W. Baird (one of the largest middle-market investment banks), and Fiserv. The financial-services labor market is stronger than the metro's size suggests, and Central Time alignment with US markets is clean.
What you'll trade: Earnings-cycle plays across single-name equity options. Strategies include short premium structures (iron condors, short strangles in defined-risk form) to capture IV crush, long premium structures (long straddles, debit spreads) when implied move is under pricing realized history, and post-earnings drift trades that exploit price continuation after a beat or miss.
Risk framework: Earnings trades carry binary risk by design — the print is either in the expected range or it isn't. Maverick caps per-trade max loss strictly, requires defined-risk structures (no naked premium selling into earnings), and limits the total number of concurrent earnings positions to keep correlated event risk manageable.
Why Maverick funds this role: Earnings volatility is one of the few areas where retail options markets still mispriced systematically. The role exists at Maverick because the strategy is seasonal, finite, and well-suited to traders who want a structured, repeatable framework rather than open-ended directional trading.
- Traders who have already run a sample of earnings trades and know their own win rate honestly
- People who can size aggressively when edge is real and skip the print entirely when it isn't
- Candidates who think in distributions — earnings outcomes are not normally distributed
- Traders who can stop trading during the quiet weeks between earnings seasons
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