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
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