Mean-Reversion Equity Trader (Remote, Funded) - New York, NY

OverviewA 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.LocationNew York, NY: New York is the geographic and historical center of US capital markets. The NYSE, NASDAQ, every major investment bank, the bulk of hedge fund AUM, and a deep talent pool sit within a few square miles. For a trader, that means the most professional community in the world, the tightest co-location latency if you ever needed it, and a labor market where almost everyone you meet has either traded, sold to traders, or built tech for trading.What You'll TradeWhat 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 FrameworkRisk 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 RoleWhy 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.QualificationsTraders who can stand aside during trending markets without forcing tradesPeople who think in expectancy and sample size, not single tradesCandidates with experience cutting losers fast — mean reversion loses worst when you average inTraders who understand that win rate alone is meaningless without the loss size to balance itJ-18808-Ljbffr