A global financial institution is seeking a Vice President, Quantitative Surveillance Analyst to join its Compliance Analytics team. This role is ideal for a data scientist with a strong quantitative background and a passion for applying advanced analytics to financial markets and regulatory surveillance.
Key Responsibilities
• Design and optimize trade surveillance models using machine learning and statistical techniques.
• Develop predictive risk scoring frameworks to enhance alert prioritization.
• Apply NLP and large language models to automate quality assurance and analyze communication data.
• Build interactive dashboards and visualization tools to support compliance decision-making.
• Collaborate with model risk and compliance teams to ensure robust model governance and transparency.
Qualifications
• Degree in a quantitative field (e.g., Data Science, Statistics, Mathematics, Financial Engineering).
• 3+ years of experience in data science, preferably within financial services or regulatory technology.
• Proficiency in Python, machine learning frameworks, and data visualization tools.
• Familiarity with market microstructure and trade surveillance systems is a strong plus.
• Experience with NLP and unstructured data analysis is highly desirable.
