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Quantitative Analyst & AI Lead (or Quant Developer / Algo & Systems Lead)

Lev Equity · Yaqum, Center District, Israel

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Tech-savvy quant/programmer with trading intuition. Owns algorithmic models, data/AI infrastructure, and internal quant capabilities. Reports to founder. Many hats expected in a small team. Key Responsibilities:Design, implement, backtest, and maintain algorithmic or systematic components/overlays to the core strategy.Build data pipelines, screening tools, risk models, and research infrastructure.Apply AI/ML techniques (e.g., NLP for news/sentiment, predictive models, portfolio optimization).Develop or improve internal tools for idea generation, monitoring, or execution support.Explore and integrate new quant/AI methods; stay ahead of relevant technology.Bring practical trading/systems mindset to ensure tools are robust and usable.Requirements:Strong programming skills (Python essential; SQL, others a plus; C++ or low-latency experience valuable if HFT-leaning).Solid foundation in statistics, econometrics, machine learning, and quantitative finance.Experience building or working with trading systems, backtesting frameworks, or quant models (prior role in a quant fund, prop shop, HFT/algo trading firm, or similar ideal).Hands-on AI/ML project experience with real-world application.Analytical rigor combined with practical implementation/trading intuition.Finance domain knowledge (or rapid learner); comfort with ambiguity in a startup environment.Nice-to-havesBackground from Unit 8200 or elite tech.Experience at a quant hedge fund or prop trading firm.Familiarity with frameworks like QuantConnect or custom backtesters.Success looks likeReliable, well-tested models and tools that meaningfully enhance the investment process.Innovative yet practical AI applications.Seamless collaboration with the fundamental analyst.Compensation & other notes: Competitive Israel market rates (base + performance bonus tied to fund results).Consider carried interest or fund economics participation for alignment.Both roles should emphasize ownership, discretion, and startup mentality.English is non-negotiable for US/EU focus.