Earnings Volatility Trader (Remote, Funded Options Trader) — Columbus, OH
Cleveland, Cuyahoga County, Ohio, 44101, USA
Listed on 2026-08-16
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Finance & Banking
Financial Analyst
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.
Columbus, OH:Columbus hosts the largest concentration of financial-services employment in the Midwest outside Chicago - Nationwide Insurance is headquartered here, JPMorgan has tens of thousands of employees, and the metro is one of the largest banking back-office centers in the country. Eastern Time alignment with the NYSE is clean, and the cost of living is among the lowest of any Eastern-Time US metro.
Whatyou'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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