Quantitative Trader

The role

Raydar is recruiting for this role on behalf of our client. Build an in-house automated trading function from the ground up, owning pricing, quoting, execution, hedging, risk controls and live operations. Work directly with leadership on strategy, capital allocation and the direction of the function. Lead a developer while staying hands-on with production trading code.

What you'll do

• Build fair-value models for event-based and binary financial instruments.
• Turn valuations into two-sided quotes, displayed size and inventory-aware pricing.
• Design short-horizon trading strategies for fast-expiring markets.
• Detect and limit losses from informed counterparties.
• Create low-latency feeds that bring live price information into the trading stack.
• Guide a developer building the systems that place, amend and reconcile orders and positions.
• Design hedging and arbitrage strategies across multiple trading venues.
• Deploy and run the trading system in production.
• Diagnose performance issues and incidents using detailed decision and execution logs.
• Set the roadmap for growing capital, liquidity, markets and infrastructure.
• Report progress, risks and capital needs directly to the founders.

What we're looking for

• Hands-on experience managing capital or running a live trading strategy.
• Track record designing automated quoting or fast short-term strategies across options, digital assets or event contracts.
• Strong engineering background with experience building and shipping production trading code.
• Ability to set direction for a small desk while staying hands-on with the code.
• Prior employment in a fast-paced liquidity provision role at a leading trading firm, including digital-asset work.
• Strong communication skills and fluent English.

Bonus points

• Familiarity with how electronic order matching, queue behavior and trading costs play out in practice.
• Degree in computer science, mathematics, physics, finance or a related quantitative field, with equivalent engineering experience also accepted.
• Prior founder experience.
• Background in historical strategy testing, including careful data handling and realistic simulation of executions.

Compensation and benefits

• Base salary: USD 185,000 to 230,000
• Equity
• Relocation support

Location and work model

• New York, United States
• Hybrid, 3 days per week in the office, with remote work considered for exceptional candidates
• Full-time