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Earnings Volatility Trader (Remote, Funded Options Trader) — Tucson, AZ

Remote / Online - Candidates ideally in
Tucson, Pima County, Arizona, 85730, USA
Listing for: Maverick Trading
Remote/Work from Home position
Listed on 2026-08-16
Job specializations:
  • Finance & Banking
    Financial Analyst
Salary/Wage Range or Industry Benchmark: 70000 - 130000 USD Yearly USD 70000.00 130000.00 YEAR
Job Description & How to Apply Below

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.

Tucson, AZ: Tucson is anchored by the University of Arizona, Raytheon's defense operations, and a growing biomedical industry. The financial industry is smaller than Phoenix but Mountain Time alignment is identical and cost of living is meaningfully lower.

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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