Quantitative Researcher - Monetization
Role Overview
I am working with a world class quant investment firm on the look out for a highly driven and technically proficient Quantitative Researcher to lead the development and optimization of monetization strategies across equity and derivative markets. This role is ideal for candidates with a strong background in market microstructure, alpha modeling, and execution research, who can bridge the gap between signal generation and real-world trading performance.
Key Responsibilities
Alpha Monetization & Execution Research
- Translate alpha signals into executable strategies with robust monetization frameworks
- Analyze market microstructure to optimize fill rates, slippage, and execution latency
- Conduct A/B testing and simulation to validate monetization efficiency
Strategy Development & Deployment
- Build and refine intraday and mid-frequency strategies across global equity/futures markets
- Collaborate with trading and engineering teams to deploy strategies in production
- Monitor live performance and iterate on signal-to-trade conversion logic
Infrastructure & Tooling
- Develop internal tools for signal evaluation, execution diagnostics, and monetization analytics
- Maintain and enhance backtesting engines with realistic execution modeling
Cross-Asset Collaboration
- Work with PMs and traders across equities, options, and crypto to align monetization goals
- Support structured product teams with pricing and liquidity modeling
Qualifications
Education
- Bachelor's or higher degree in Financial Engineering, Applied Mathematics, Computer Science, or related fields
Experience
- 2+ years in quantitative research or trading with a focus on monetization and execution
- Proven track record in converting alpha into P&L across multiple asset classes
- Experience with high-frequency or latency-sensitive strategies is a strong plus
Technical Skills
- Proficient in Python and C++; familiarity with Java or Rust is a plus
- Strong understanding of market microstructure, order book dynamics, and execution algorithms
- Experience with simulation frameworks and performance attribution tools
Soft Skills
- Strong analytical and problem-solving skills
- Ability to work independently and collaboratively in a fast-paced environment
- Clear communication and documentation skills
Bonus Points
- Experience with signal monetization in crypto or derivatives
- Prior work in execution research teams at top-tier hedge funds or prop shops
- Familiarity with exchange APIs, FIX protocols, and latency optimization
- Contributions to open-source trading or research platforms
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