Options Income Trader (Remote, Funded) — San Francisco, CA
San Jose, Santa Clara County, California, 95025, USA
Listed on 2026-08-16
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Finance & Banking
Banking & Finance, Trading - Equity / Derivatives / Quantitative, Financial Advisor / Consultant
An options income trader at Maverick generates cash flow by selling premium in a defined-risk framework. This is not naked option selling, and it is not a martingale strategy that blows up on a single bad week. The role is built for traders who think in terms of probability, expected value, and management rules over individual directional bets.
San Francisco, CA: San Francisco hosts the largest concentration of asset management on the West Coast — Black Rock has its tech operations here, Wells Fargo is headquartered in the city, and Charles Schwab is headquartered in nearby Westlake. The technology industry overlap matters for traders focused on tech equities. Pacific Time means a 6:30am market open.
What you’ll trade: Credit spreads on liquid US equities and ETFs, cash‑secured puts on names the trader would be willing to own, and covered calls on equity positions held in the firm’s book. Trades are sized based on max‑loss, not premium collected. Underlyings must clear liquidity screens — wide bid‑ask spreads are an automatic disqualifier.
Risk framework: Premium‑selling looks profitable until it isn’t. Maverick’s risk framework caps max loss per spread, total notional exposure, and beta‑weighted portfolio delta. Tail‑risk events (8 sigma moves) are anticipated, not denied — we expect a few rough months a year and size so they don’t end careers.
Why Maverick funds this role: Premium‑selling done right is one of the most consistent income strategies in markets — and one of the easiest to ruin with bad sizing. Maverick built this role around traders who already think in probabilities and want firm capital deployed against a strategy that pays steady cash flow when risk is managed. The 65–90% profit split applies to net P&L after the inevitable rough months.
- Traders who understand 'probability of profit' is not the same as 'expected return'
- People who can follow mechanical management rules without overriding them mid‑trade
- Candidates with a quantitative mindset — comfortable thinking in distributions
- Traders who don't need every position to win to feel like the strategy is working
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