Director, Data and Analytics Engineer - Morgan Stanley

Key Responsibilities

• Design, develop, and maintain robust data pipelines and analytics frameworks to detect and analyze fraud trends across multiple product lines.
• Lead a cross‑functional team of data engineers and analysts, setting technical direction and ensuring high‑quality deliverables.
• Collaborate with data scientists to build predictive models and machine‑learning solutions that proactively flag suspicious activity.
• Implement best practices for data governance, security, and compliance within a regulated financial environment.
• Translate complex data findings into clear, actionable insights for business stakeholders and executive leadership.

Requirements

• 10+ years of experience in data engineering and analytics, with at least 5 years in a leadership role.
• Proficiency in SQL, Python, and big‑data technologies (e.g., Spark, Hadoop).
• Hands‑on experience with fraud detection techniques and machine‑learning model deployment.
• Strong understanding of data governance, security, and regulatory compliance in finance.
• Excellent communication skills and ability to influence stakeholders at all levels.