Lead Live-Book Quant & Algo Trader — Remote

Ocean Park Asset; Santa Monica, Northern (CA, KY); Hybrid; USD 241,000 - 400,000; Full time

Job summary

Ocean Park Asset is seeking a Quantitative / Algo Trader to own the live book, decide when to enter, hold, or exit, and implement the policy without reliance on dashboards.

You will monitor microstructure, size positions, and ensure execution paths account for liquidity, slippage, and gaps, while maintaining a written rationale for every decision. This is a fully remote freelance/contract role with competitive pay.

Qualifications

• Traded a real or serious paper book with measurable outcomes.
• Ability to document session actions: what you did, what you skipped, and why.
• Treat costs, slippage, and gaps as integral to trading decisions.
• Will not override a risk limit to chase activity.
• Comfortable working remotely with high autonomy.

Responsibilities

• Own when a strategy is on, reduced, or flat.
• Size and execute so a fill and a gap are part of the design, not a surprise.
• Watch live microstructure: liquidity, spread, session, and when the signal is noise.
• Feed what the tape did back to the people who write the policy.
• Keep a written record of why the book was on.
• Protect the risk wall. You do not 'fix' a bad day by moving the limit.

Skills

Quantitative trading

Algo trading

Real-time decision making

Remote work

Risk awareness

Tools

Python

Job description

Ocean Park Asset is seeking a Quantitative / Algo Trader to own the live book, decide when to enter, hold, or exit, and implement the policy without reliance on dashboards.

You will monitor microstructure, size positions, and ensure execution paths account for liquidity, slippage, and gaps, while maintaining a written rationale for every decision. This is a fully remote freelance/contract role with competitive pay.