Quantitative Analyst

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. 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: 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. 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. Traders with quantitative training — Python, R, or strong Excel comfort with regressions People who can read a cointegration breakdown as a \'get out\' signal, not \'add to the trade\' Candidates who understand the limits of statistical edge in single-stock relationships Traders patient with sample sizes — single pairs can take weeks to play out #J-18808-Ljbffr