Mean-Reversion Equity Trader (Remote, Funded) — Phoenix, AZ
Oro Valley, Pima County, Arizona, USA
Listed on 2026-08-16
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Finance & Banking
Financial Advisor / Consultant
A mean-reversion equity trader at Maverick takes positions against short-term extremes in US equities — buying oversold conditions, selling overbought conditions, and holding for a return to a defined statistical mean. The strategy is most profitable in range-bound markets and gets punished in strong trends, which means a mean-reversion trader has to be honest about the market regime and willing to size down (or stand aside) when conditions don't favor the approach.
Phoenix, AZ: Phoenix has become one of the fastest-growing financial centers in the country over the last decade — Charles Schwab, USAA, Northern Trust, and a wave of fintech operations have moved meaningful headcount to the metro. Mountain Time gives traders a 7:30am market open, leaving a clean afternoon for non-screen work. The low cost of living and strong infrastructure make this a popular relocation destination for remote traders.
What you'll trade: US equities and ETFs with sufficient liquidity, focusing on names where statistical mean-reversion has historical evidence. Most positions are short-term (3–10 trading days). Some variants of the strategy use options structures to define risk and benefit from IV mean reversion alongside price mean reversion.
Risk framework: Mean reversion's worst losses come during regime changes — when a market shifts from range-bound to trending and the oversold names keep getting more oversold. Maverick traders cap exposure during such regimes and pay attention to broad-market trend indicators as a context filter, not just individual signals.
Why Maverick funds this role: Mean reversion is one of the most studied and best-documented short-term equity strategies. Maverick funds it because the strategy is rule-based, scalable across names, and produces a P&L pattern that diversifies from momentum and trend-following.
- Traders who can stand aside during trending markets without forcing trades
- People who think in expectancy and sample size, not single trades
- Candidates with experience cutting losers fast — mean reversion loses worst when you average in
- Traders who understand that win rate alone is meaningless without the loss size to balance it
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