remote
Director, Data and Analytics Engineer - Morgan Stanley
Data Engineer
Lead a high‑impact data and analytics team to uncover fraud patterns, build scalable data pipelines, and deliver actionable insights using SQL, Python, and big‑data technologies.
About the role
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.
Skills
analyticssqlpythonmachine learning