Algo & Quantitative Strategist
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 • Design and validate systematic trading strategies (Intraday, Positional, Options, Long-term) • Define quant frameworks (trend, mean reversion, volatility, factor-based) • Approve strategies before live deployment • Guide use of AI/ML where appropriate (not hype-driven) Risk & Governance • Define drawdown limits, position sizing models • Strategy-level and portfolio-level risk controls • Stress testing & scenario analysis • Coordinate with India RMS & Compliance teams Team Mentorship • Mentor India-based quant & algo developers • Weekly strategy review & improvement sessions • Help build internal documentation & playbooks Cross-Functional Collaboration • Work with Product Manager to ensure strategies are client-friendly • Align with Compliance Officer on disclosures & regulatory safety • 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 • Strong background in quant trading / systematic strategies • Deep understanding of risk-adjusted returns • Experience with institutional trading environments • Familiarity with Python / R / data science concepts (conceptual level acceptable) • Strong documentation & explanation skills Why Join Us • Build algo business for a regulated Indian brokerage • Freedom to design long-term, scalable strategies • Opportunity to influence AI + Wealth platform • Future equity / advisory role possible Job Types: Full-time, Internship Pay: $6,000.00 - $35,000.00 per month Benefits: • 401(k) • Flexible schedule • Health insurance Education: • Master's (Preferred) Work Location: Remote Apply tot his job