A pairs / stat-arb equity trader at Maverick runs market-neutral or beta-neutral strategies on US equity relationships — pairs within the same sector, cointegrated baskets, or single-name long-short setups driven by mean-reversion or fundamental divergence. This is the most quantitative trader role at the firm; expect to be doing real statistical work, not just looking at charts.
Columbus, OH: Columbus hosts the largest concentration of financial-services employment in the Midwest outside Chicago — Nationwide Insurance is headquartered here, JPMorgan has tens of thousands of employees, and the metro is one of the largest banking back-office centers in the country. Eastern Time alignment with the NYSE is clean, and the cost of living is among the lowest of any Eastern-Time US metro.
What you'll trade: Long/short pairs within sectors (e.g., two banks, two airlines, two oil majors), basket trades against ETF benchmarks, and divergence trades when a fundamentally similar pair has drifted apart on price. We do not run ultra-high-frequency stat-arb — the firm's infrastructure is professional but not co-located.
Risk framework: Pairs strategies look low-risk until a relationship breaks — at which point both legs can move against you simultaneously. Maverick traders run defined max-loss per pair and require fundamental review when statistical signals fire on names with company-specific news.
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Why Maverick funds this role: Pairs and stat-arb provide the firm with a low-beta P&L stream that diversifies away from directional and pure-vol books. Maverick funds traders here because the strategy contributes to firm-level Sharpe even when its individual returns are modest.
