Execution Analyst

Responsibilities

• Analyze client order data and market data to answer challenging, open-ended research questions
• Assist in the collection and monitoring of algorithm performance data across individual clients and global portfolios
• Help document client objectives and implement custom measurement processes toward each client’s evolving goals
• Support the evaluation of algorithmic behavior through statistical analysis and data visualization
• Collaborate with senior analysts to generate insights for internal teams and client reporting
• Contribute to building client presentations that communicate key findings and areas for improvement
• Stay abreast of current events, changes in the liquidity landscape, and team research to participate in team discussions around market events, microstructure developments, and algorithm design

Requirements

• MS or PhD in a quantitative field such as Computer Science, Statistics, Engineering, Mathematics, or a related discipline
• 2 years of experience in answering research questions supported by statistical evidence
• Proven programming, statistics, and data analysis skills (e.g., Python, SQL, R)
• Strong analytical thinking and a demonstrated interest in solving complex problems
• Excellent written and verbal communication skills
• High attention to detail and a structured approach to tasks
• Eagerness to learn about financial markets, electronic trading, and data-driven decision-making
• Willing to work in Stamford, CT in person daily