Review algorithmic trading logic built into AI systems, stress-testing strategies across market regimes and liquidity conditions. Suits systematic trading practitioners who can critique multi-step logic in writing.
About the role
Algorithmic Trading Strategist (AI Training)
About the Role
What if your hard-won knowledge of markets, execution logic, and trading systems could directly shape how AI reasons about algorithmic strategies? We're looking for experienced Algorithmic Trading Strategists to evaluate trading logic built into AI systems — stress-testing strategies, identifying edge cases, and ensuring the reasoning behind automated decisions holds up in the real world.
This is a fully remote, flexible contract role. No AI background needed — just deep, practical experience in systematic or algorithmic trading and the ability to think critically about how strategies perform across conditions.
- Type : Hourly Contract
- Location : Remote
- Commitment : Flexible, task-based
- Commitment : Flexible, task-based
- Review and critically evaluate algorithmic trading logic and execution paths
- Analyze order types, routing behavior, and market microstructure assumptions
- Identify risks, inefficiencies, edge cases, and performance bottlenecks in trading strategies
- Summarize strategy performance across scenarios, market regimes, and time horizons
- Validate alignment with realistic trading constraints, liquidity conditions, and execution realities
- Deliver structured, well-reasoned evaluations as part of recurring strategy-review cycles
- Work independently and asynchronously — fully on your own schedule
Who You Are
Must-Have:
- Hands-on experience in systematic or algorithmic trading — prop, institutional, or independent
- Strong command of order types, execution timing, slippage, and market microstructure
- Ability to trace and critique multi-step trading logic and communicate findings clearly in writing
- Sharp analytical mindset with a methodical approach to evaluating strategy quality
- Sharp analytical mindset with a methodical approach to evaluating strategy quality
- Familiarity with backtesting frameworks or execution simulation tools
- Experience building, reviewing, or stress-testing quantitative strategies
- Background in quantitative finance, financial engineering, or a related technical field
- Background in quantitative finance, financial engineering, or a related technical field
- Work on cutting-edge AI projects alongside leading research labs
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, task-based work
- Put your specialized market expertise to work in a way that has real, lasting impact on AI development
- Potential for ongoing work and contract extension as new projects launch
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