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.
Houston, TX: Houston's financial industry is built around the energy sector - most of the country's E&P, midstream, and oilfield services giants are headquartered here. For a trader, that means useful proximity to the largest concentration of energy-sector decision-makers in the world and a city where understanding commodity-driven equity moves is part of the local culture. Central Time alignment with US markets makes the schedule clean.
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
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