Morgan Stanley seeks to manage and mitigate fraud risks through innovative data analysis and fraud detection strategies to protect the organization's technology, operations, and information, ensuring secure and compliant business operations.
Requirements
- Strong data analysis and/or coding in SQL, Python, Cognos, DataIku or other languages
- Ability to diagnose an issue, identify a root cause, summarize, present, drive resolution, and track results
- Familiarity with statistical data analysis and visualization tools (Tableau, SAS, Python, R, etc.)
- Experience with Fraud Engines not limited to Visa, MasterCard, Fiserv, FIS, FICO, ARCOT
- Analytics skills with big data
- Experience working with Data Science and Product teams to support business
- Ability to provide business insights through dashboards and other data visualization tools to support decision-making
Responsibilities
- Analyze transactional data to identify anomalies and out-of-pattern activities
- Develop solutions to address fraud trends by improving existing or designing new controls
- Identify and implement automation opportunities to streamline data collection, performance metrics, and loss calculation processes
- Design and implement rules within the rules engine, including pre/post-deployment testing to ensure operational effectiveness
- Collaborate cross-functionally with teams such as Customer Service, Product management, and Engineering to improve tools, data sources, system capabilities, and fraud detection techniques
- Partner with the Data Science team to develop fraud risk models
- Apply statistical methods to analyze data and generate actionable business insights
Other
- Bachelor’s Degree or Master’s degree in (Data Analytics, Statistics, Mathematics, Information Systems, etc.) or equivalent work experience in an area relevant to this position
- Excellent communication and writing skills
- Must be dynamic self-starter, able to work independently or as part of a team
- Possess a positive attitude
- Ability to present trends, findings and proposed solutions to management and key stakeholders
