Head of Trading Analytics

At MFS, you will find a culture that supports you in doing what you do best. Our employees work together to reach better outcomes, favoring the strongest idea over the strongest individual. We put people first and demonstrate care and compassion for our community and each other. Because what we do matters - to us as valued professionals and to the millions of people and institutions who rely on us to help them build more secure and prosperous futures.

The Head of Trading Analytics leads MFS's global, multi-asset trading execution analytics function. This role is responsible for advancing MFS's execution analytics capabilities, enhancing the best execution framework, and delivering quantitative insights that improve trading outcomes across asset classes. The individual will lead execution research, transaction cost analysis (TCA), market microstructure analysis, and analytics platform innovation while driving automation, scalability, and data-driven decision-making across the global trading organization.

The role also includes leading a quantitative analytics team and partnering closely with Trading, Investments, Technology, Data, and external providers to optimize execution performance and analytics infrastructure globally.

• Lead MFS's global trading execution analytics strategy across asset classes, driving innovation, scalability, transparency, and continuous improvement in execution analysis and trading outcomes.
• Expand and modernize the firm's execution analytics platform, including automation initiatives, advanced quantitative analysis capabilities, workflow optimization, and enhancement of execution analytics infrastructure and data accessibility. Partner with Technology and Data teams to improve the scalability, reliability, and efficiency of execution analytics systems, data architecture, and workflow processes
• Lead global execution research, transaction cost analysis (TCA), and market microstructure analysis to evaluate execution quality, trading efficiency, and evolving market dynamics. Maintain awareness of evolving market structure developments, emerging technologies, and industry best practices to continuously enhance the firm's trading analytics capabilities.
• Design, develop, and oversee quantitative trading analytics models, methodologies, and statistical frameworks used to assess execution performance and support data-driven trading decisions.
• Support and enhance the firm's best execution governance framework, ensuring alignment with regulatory expectations, industry best practices, and internal standards.
• Deliver regular and ad hoc execution reporting, analytics, dashboards, and visualization tools for Trading, Portfolio Management, senior leadership, fund boards, and clients.
• Collaborate with portfolio managers, traders, brokers, technologists, and third-party providers to identify opportunities to improve execution outcomes and trading efficiency. Oversee relationships with external execution analytics, TCA, data, and technology vendors, including evaluation of new tools, technologies, and strategic partners.
• Lead, mentor, and develop a high-performing team focused on quantitative trading analytics and execution research while fostering a culture of collaboration, innovation, and continuous improvement.

• Master's degree or equivalent experience in Finance, Statistics, Data Science, Engineering, or a related quantitative discipline with 15+ years of experience in trading, transaction cost analysis, quantitative research, execution strategy, or related disciplines within institutional asset management or financial markets.
• Demonstrated leadership experience managing and developing high-performing quantitative trading, analytics, or research teams with the ability to collaborate and influence stakeholders across Trading, Investments, Technology, Data, and Operations functions globally.
• Extensive knowledge of global equities, fixed income, and multi-asset market structures, trading workflows, execution analytics, transaction cost analysis, execution strategy, and best execution frameworks.
• Strong quantitative and analytical skillset with expertise in financial statistics, modeling, market microstructure, and large-scale trading data analysis, supported by advanced programming experience in Python, KDB/Q, or similar technologies working with high-volume structured and unstructured trading datasets.
• Experience building, enhancing, or managing trading analytics platforms, data infrastructure, automation solutions, and integrations with third-party TCA systems, execution analytics providers, and external market data vendors.
• Strong data visualization, reporting, communication, and presentation skills, with the ability to translate complex analytical findings into actionable business insights for both technical and non-technical audiences, including senior leadership and clients.
• Strategic thinker with strong problem-solving skills and the ability to proactively…