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Insurtech, Fintech, Life Insurance, SaaS

Quant Software Engineer - AI Lab Consulting ($105/hr, up to $2.1k/week)

United StatesRemoteFull Time$105–$105 /hrPosted 2 months ago

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Role summary

A leading AI lab is seeking experienced Senior or Staff Software Engineers with a quantitative trading background for a part-time, remote consulting role. The position involves training their latest language model on quant and algo trading engineering tasks. You will create, evaluate, and refine AI-generated work across core quant engineering workflows, including algorithm implementation, backtesting, execution systems, and market data pipelines. This role requires 5+ years of experience in building trading systems at top financial firms and a strong understanding of low-latency systems where precision is critical. The role offers flexible hours, up to 20 per week, at $105 per hour.

Note: This is a flexible, part-time opportunity that is 5-20 hours per week at $105 per hour (up to $2.1k/week). It can be done remotely and can be done both alongside or instead of full-time employment.

We're working with a leading foundational AI lab to find experienced software engineers with a quantitative trading background who can help train their latest language model on quant and algo trading engineering tasks.

We're looking for senior and staff engineers with 5+ years of experience building trading systems, execution infrastructure, or quantitative research tooling at hedge funds, prop trading firms, or investment banks. You know what it means to write code where microseconds matter, where a logic error has immediate and measurable financial consequences, and where the gap between a correct and an almost-correct implementation is everything.

You'll create, evaluate, and refine AI-generated work across core quant engineering workflows: algorithm implementation, backtesting framework design, execution system architecture, market data pipeline design, and technical documentation for quantitative trading systems.

Compensation:
$105/hour

Commitment:
Flexible, up to 20 hours per week (up to $2,100/week)

Location:
Fully remote, work on your own schedule

Start date:
April

Qualifications:

  • Senior or Staff Software Engineer with 5+ years of experience in quant, algo trading, or execution systems at a top trading firm, hedge fund, or investment bank
  • Strong expertise in low-latency systems, algorithm implementation, and quantitative research infrastructure
  • Excellent written communication and ability to evaluate technical output critically

About Ethos

Ethos is a new expert network built by a McKinsey/SoftBank/DeepMind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities.

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