Overview:
As VP of Surveillance Quality Assurance, you will lead the design, governance, and ongoing effectiveness of the firm’s QA function for surveillance. You will drive enhancements to QA processes, alert review standards, and supporting technology to lift efficiency and accuracy. You collaborate with Data Science, Technology, Compliance, and Surveillance leadership to improve sampling, automate high-impact tasks, and strengthen surveillance infrastructure. You will define global goals and performance metrics, ensuring compliance with evolving regulatory standards and fostering a culture of accountability and continuous improvement. This role combines risk management, cross-functional leadership,
Responsibilities:
Assess the design and operational effectiveness of the firm’s existing Surveillance QA function. Enhance QA processes, alert review standards, and supporting technology to improve efficiency and accuracy in surveillance alert reviews. Conduct routine QA reviews of surveillance alerts across multiple asset classes (FX, Fixed Income, Commodities, ETFs, and Electronic Communications). Provide actionable feedback to surveillance analysts and product leads to improve accuracy, consistency, and completeness of alert reviews. Document key findings, highlight emerging risks, and identify process inefficiencies and opportunities for improvement. Collaborate with Data Science and Technology teams to refine alert sampling methodologies using NLP and statistical modeling. Identify and prioritize automation opportunities and system enhancements to strengthen surveillance infrastructure. Partner with Compliance Advisory, Technology, and Surveillance leadership to enhance review methodologies and QA effectiveness. Ensure the surveillance program aligns with global regulatory requirements and evolving industry standards. Define goals and performance metrics for a global Surveillance QA team, fostering a culture of accountability and continuous improvement. Key requirements strong communication cross-functional collaboration problem-solving NLP statistical modeling automation