Risk-Defined Options Trader (Remote, Funded) — Arlington, TX

A risk-defined options trader at Maverick is a generalist — running spreads, iron condors, calendars, and combinations as the market environment calls for them, but with one firm constraint: every position has a defined maximum loss. No naked short premium, no uncovered short legs, no positions where loss is theoretically unbounded. This is the broadest options role at the firm and one of the most popular for traders coming from retail options backgrounds.

Arlington, TX: Arlington sits between Dallas and Fort Worth in the DFW metro, with full access to the metro's financial labor market at a meaningfully lower cost than either anchor city. Central Time alignment, no state income tax.

What you\'ll trade: The full menu of defined-risk options structures: vertical spreads, iron condors, butterflies, broken-wing butterflies, calendars (defined-risk variants), and combinations of the above. Underlyings span liquid US single-names, sector ETFs, and broad-market indices.

Risk framework: By design, this role caps loss at the defined-risk amount of each position. Portfolio risk is managed at the firm level via concentration limits and total notional caps. The defined-risk constraint sacrifices some strategies (naked puts, ratio sells, short strangles) but removes the tail-risk events that end careers.

Why Maverick funds this role: Most career-ending losses in retail options come from naked short premium gone wrong. Maverick built this role specifically to provide a professional career path that excludes that single category of risk entirely. It\'s the most-applied-to options role at the firm.

• Traders coming from retail options who want the discipline of defined-risk-only without losing access to the full strategy menu
• People who think in strategy-fit-to-environment — not just one go-to trade
• Candidates with broad options knowledge but limited exposure to professional risk frameworks
• Traders who value the absence of tail risk in their personal trading psychology