Financial Crimes Risk: Production And Post Implementation Support (avp)
Morgan Stanley UK
United Kingdom
New york: expected base pyy rates for the role wil...
On-site
Structured root-cause analysis
Jira/excel issue tracking
Financial crimes risk stakeholders
Morgan Stanley UK is seeking an AVP for Financial Crimes Risk in their Technology Strategy and Solutions team, focusing on production and post-implementation support. The role involves managing production issues, analyzing systems for root causes, and enhancing documentation and requirements in a fast-paced environment
Job Summary
The Production and Post-Implementation Support function provides structured triage, investigation, requirement refinement, and coordination for all issues raised after deployment.
This role is well suited for analytical professionals who are looking to deepen their experience in Financial Crimes technology and production environments.
Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, achieve, and grow.
Matching Summary
Match Score: 85
Morgan Stanley UK is seeking an AVP for Financial Crimes Risk in their Technology Strategy and Solutions team, focusing on production and post-implementation support. The role involves managing production issues, analyzing systems for root causes, and enhancing documentation and requirements in a fast-paced environment.
Salary
New York: Expected base pay rates for the role will be between $105K-$140K per year; Bonus/Equity: Not specified; Benefits: Other Morgan Stanley sponsored benefit programs
Skills & Requirements
Must-have
Structured root-cause analysis
Jira/Excel issue tracking
Financial Crimes Risk stakeholders
System behavior analysis
Requirements refinement
Nice-to-have
Proactive and resourceful
Collaborate with US and India teams
Interest in broader responsibilities
Key Requirements
5+ years of related experience
Bachelor's degree in Data Analytics, Computer Science, Finance, Business or a related field
Demonstrated ability to perform structured analysis