Remote Liquidity Quant Engineer with Equity

Relay; United States; Hybrid; USD 150,000 - 220,000; Full time

Benefits offered by this job

Equity package

Health benefits

Unlimited PTO

Remote-first culture

Job summary

Relay is seeking a quantitative generalist to own liquidity analysis, model development, validation, monitoring, and recommendations. You will build portfolio-management and delta-hedging models, optimize execution and rebalance costs, and design pricing for cross-chain liquidity across assets and chains.

This is a high-ownership, production-facing role with AI-assisted research and direct impact on P&L and risk.

Qualifications

• 3–5+ years in quantitative development, research, trading, market making, portfolio management, or related quantitative work.
• Strong Python and SQL skills with ability to turn analysis into production-ready code.
• Solid understanding of capital markets, market microstructure, liquidity, and risk frameworks.
• Experience evaluating models with real costs, incomplete data, and changing regimes.
• Ability to translate questions into measurable objectives and clear rules; communicate uncertainty and risk.

Responsibilities

• Build portfolio-management and delta-hedging models across assets and liquidity systems.
• Optimize execution and rebalance costs, including route choice and hedge policies.
• Develop pricing models across routes, assets, chains, and market conditions.
• Put models into production with tests, observability, rollout controls, and incident support.
• Participate in follow-the-sun on-call for quantitative investigation and support.

Skills

Python

SQL

Quantitative development

Capital markets

Job description

Relay is seeking a quantitative generalist to own liquidity analysis, model development, validation, monitoring, and recommendations. You will build portfolio-management and delta-hedging models, optimize execution and rebalance costs, and design pricing for cross-chain liquidity across assets and chains.

This is a high-ownership, production-facing role with AI-assisted research and direct impact on P&L and risk.