Summary
Light Water is a private family office managing internal capital across multiple asset classes. The Quant Research & Strategy Intern will extend existing quantitative research, develop and test new multi-asset strategies, and prepare proven models for live market deployment while working directly with the Founder and other interns.
Responsibilities
- Review live common stock models to identify performance gaps and mathematical drift. You’ll help modify existing logic to align with current market regimes
- You will be responsible for the research and foundational modeling of new strategies that you own from thought to execution- building, testing, and iterating on brand-new strategies
- Utilize our proprietary backtesting infrastructure to validate models against slippage, liquidity constraints, and asset-specific fees. Data provided through various paid vendors and in-house sourced workflows to provide you with the tools needed to succeed
- Proven models will be prepared for live deployment into the markets
- You're not getting coffee and running some KYC. Your in the trenches, debugging past research to find where the gaps for alpha are, building your own strategies to prove ideas in public, and co-working with a talented cohort to reach your goals
- You’ll work directly with the Founder on strategy logic and institutional execution architecture
- You aren't maintaining a legacy system; you are helping build from scratch
- See your research transition from a backtest to the live tape
- We routinely publish on our marketing channels about how awesome our interns are, and the work that they're accomplishing. Direct access for you to publish blog articles with your byline for additional optics as you advance in your career
Skills
- Mathematically Rigorous: You have a deep understanding of expectancy, variance, and R-multiple distributions
- Technical Proficiency: High comfort level with Python or similar data languages
- Technical Proficiency: Experience with Claude or Codex, and hold at least the $20/month plan in either
- Market-Agnostic: You understand that an "edge" is a mathematical property that can be translated across Equities, FX, and Crypto
- High Agency: You are capable of taking a high-level thesis and independently building the proof-of-concept without needing a manual
Qualifications
Must Haves
- Mathematically Rigorous: You have a deep understanding of expectancy, variance, and R-multiple distributions
- Technical Proficiency: High comfort level with Python or similar data languages
- Technical Proficiency: Experience with Claude or Codex, and hold at least the $20/month plan in either
- Market-Agnostic: You understand that an "edge" is a mathematical property that can be translated across Equities, FX, and Crypto
- High Agency: You are capable of taking a high-level thesis and independently building the proof-of-concept without needing a manual
Benefits
- Remote work, 20 hours/week
- Option to extend the 3-month term
- Work directly with the Founder on strategy logic and institutional execution architecture
- Ground-floor ownership helping build from scratch
- Opportunity to see research transition from a backtest to the live tape
- Public recognition through marketing channels
- Direct access to publish blog articles with your byline for additional career optics
- Structured training and mentorship