Pairs ​/ Statistical Arbitrage Equity Trader (Remote, Funded NY

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.

New 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 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