Job Title: Lead Quantitative Researcher - Equity Algo Execution
Location: New York
Position Overview:
I'm working directly with the Global Head of Equity Capital Markets at a Tier-1 US Investment Bank as the firm is further investing into their agency and principal algo execution business. Due to their continued success in 2024 and recent years, their agency offering has climbed the standings to be one of the Top five (5) across the street. In addition, their PT business has seen an increase in trading volume and revenue which is a direct impact of their QR department.
The IB is committed from the top down to scale the team in 2025, adding multiple headcount across QR & Development, but more immediately they looking for an experienced Algo Quant Researcher that is well versed in equities market microstructure and someone to own the end to end process of building novel execution algos.
Key Responsibilities:
- Execution Algorithm Development: Design, develop, and optimize execution trading algorithms (agency and principal) for equities, futures, and options markets, with a strong focus on improving client execution performance.
- Signals Research & Analysis: Conduct research to identify market signals that can enhance trading strategies and improve execution outcomes for clients.
- Modeling & Strategy Development: Build and implement advanced quantitative models to guide trading decisions, including single-position and portfolio schedule optimization.
- Market Microstructure Analysis: Analyze market microstructure in equities and futures markets, understanding order placement methodologies, routing, market impact, and transaction cost analysis.
- Client-Facing Interaction (CRB Desk Experience): Collaborate with client-facing teams to develop and implement execution strategies tailored to specific client needs. Provide quantitative analysis and strategic insights to enhance client trading performance and achieve optimal execution.
