We are seeking a highly motivated, intellectually curious, and highly skilled data analyst to join our Stamford, CT team as an Execution Analyst. This role is designed as a foundational entry point into algorithmic trading analysis with a clear path toward becoming a subject matter expert in execution strategy and performance.

In this role, you will contribute to monitoring, evaluating, and optimizing client performance and learn to produce meaningful insights and actionable recommendations that drive value for both individual clients and the firm at large. You will work closely with senior analysts and product specialists and grow with their support into a client-facing, high-impact contributor in electronic trading and execution consulting.

Specifically, you will:

• Gain deep knowledge of US equity market structure and electronic trading behavior
• Learn to evaluate algorithm performance across clients and strategies
• Build fluency in statistical methods and coding practices for performance analysis
• Develop communication and presentation skills for internal and client-facing interactions
• Take on increasing ownership of monitoring, analysis, and strategic recommendation processes
• Grow into a role that directly influences client outcomes and firm-wide algorithmic execution strategy

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–going beyond reporting results to generating meaningful insights (this can be in a graduate program)
• 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
• Positive, collaborative attitude, a strong sense of ownership and curiosity, and consistent drive to go above and beyond to deliver on shared goals
• Willing to work in Stamford, CT in person daily and, over time, travel to client meetings as needed