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Quant LLM Engineer
First Boston Capital
Abu Dhabi, UAE
Full Time
Senior
Onsite
3 weeks ago
PythonMachine LearningLLMsTrading Strategy DevelopmentBacktestingRAG
Free
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About the Role
Join a new systematic trading venture as a founding Quant AI Engineer, owning the quantitative stack from research to production. You will design AI-driven trading strategies, build LLM research pipelines, and work directly with the CEO in a DIFC-based startup environment with uncapped performance bonuses.
Key Skills for This Role
PythonMachine LearningLLMsTrading Strategy DevelopmentBacktestingRAG
Responsibilities
- Design, backtest, and optimize native AI/systematic trading and advisory strategies across algorithmic, hedge fund, and long only mandates.
- Build LLM driven research pipelines extracting signals and market insights from unstructured data (filings, news, transcripts, alternative data).
- Take models from notebook to production: robust, monitored, live.
- Shape the architecture, tooling, and culture of a trading operation from day one.
Requirements
- Strong foundation in mathematics, statistics, or related quantitative field (Master’s or PhD a plus)
- 3 6 years building and backtesting trading strategies at a fund, prop shop, or as a serious independent with verifiable track record
- Excellent Python; comfort owning a codebase end to end
- Hands on experience applying LLMs to research, analytics, or trading workflows (RAG, fine tuning, agentic pipelines)
- Appetite for early stage ownership and asymmetric reward
Full Job Posting
Quant AI Engineer — New Systematic Trading Venture (DIFC, Dubai)
- We are an established debt and M&A advisory boutique launching an AI native systematic trading operation. This is a founding team of three: the CEO, one AI engineer, and you.
What you’ll do
- Design, backtest, and optimize native AI/systematic trading and advisory strategies across algorithmic, hedge fund, and long only mandates.
- Build LLM driven research pipelines — extracting signals and market insights from unstructured data (filings, news, transcripts, alternative data).
- Take models from notebook to production: robust, monitored, live.
- Shape the architecture, the tooling, and the culture of a trading operation from day one.
What you bring
- Strong foundation in mathematics, statistics, or a related quantitative field (Master’s or PhD a plus).
- 3 6 years building and backtesting trading strategies — at a fund, prop shop, or as a serious independent with a verifiable track record.
- Excellent Python; comfort owning a codebase end to end.
- Hands on experience applying LLMs to research, analytics, or trading workflows (RAG, fine tuning, agentic pipelines).
- Appetite for early stage ownership and asymmetric reward.
Why this beats a fund seat
- Uncapped performance bonus tied directly to strategy P&L.
- Backed by an established, revenue generating advisory firm.
- Direct line to the CEO; zero layers, zero politics.
- Dubai/DIFC base: 0% personal income tax.
- Founding team influence on everything that gets built.
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