Algo & Quantitative Strategist

🌍 Remote, USA 🎯 Full-time πŸ• Posted Recently

Job Description

Role Objective To lead the strategy design, research framework, and risk philosophy for algorithmic trading strategies while mentoring the India-based quant team. This role focuses on thinking, validation, and governance, not daily execution. Key Responsibilities Strategy & Research β€’ Design and validate systematic trading strategies (Intraday, Positional, Options, Long-term) β€’ Define quant frameworks (trend, mean reversion, volatility, factor-based) β€’ Approve strategies before live deployment β€’ Guide use of AI/ML where appropriate (not hype-driven) Risk & Governance β€’ Define drawdown limits, position sizing models β€’ Strategy-level and portfolio-level risk controls β€’ Stress testing & scenario analysis β€’ Coordinate with India RMS & Compliance teams Team Mentorship β€’ Mentor India-based quant & algo developers β€’ Weekly strategy review & improvement sessions β€’ Help build internal documentation & playbooks Cross-Functional Collaboration β€’ Work with Product Manager to ensure strategies are client-friendly β€’ Align with Compliance Officer on disclosures & regulatory safety β€’ Advise CTO (India) on execution architecture (not coding) What This Role Is NOT ❌ No daily coding responsibility ❌ No client sales or marketing ❌ No operational firefighting Required Skills & Background β€’ Strong background in quant trading / systematic strategies β€’ Deep understanding of risk-adjusted returns β€’ Experience with institutional trading environments β€’ Familiarity with Python / R / data science concepts (conceptual level acceptable) β€’ Strong documentation & explanation skills Why Join Us β€’ Build algo business for a regulated Indian brokerage β€’ Freedom to design long-term, scalable strategies β€’ Opportunity to influence AI + Wealth platform β€’ Future equity / advisory role possible Job Types: Full-time, Internship Pay: $6,000.00 - $35,000.00 per month Benefits: β€’ 401(k) β€’ Flexible schedule β€’ Health insurance Education: β€’ Master's (Preferred) Work Location: Remote Apply tot his job

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