Majed Moghadami Alkami
Business Data Analyst @Morgan Stanley
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WORK HISTORY
Business Data Analyst @Morgan Stanley
QC, CA
Partner with Risk and Compliance stakeholders to deliver technology solutions that strengthen surveillance, operational controls, and regulatory compliance across Wealth Management• Elicit, analyze, and document complex business requirements, including Agile user stories, proof-of-concept models, and functional specifications, ensuring alignment between business needs and technical implementation• Perform advanced data analysis using SQL and relational databases to identify data gaps, validate data integrity, and support the development of monitoring and surveillance models• Collaborate closely with development teams throughout the SDLC to ensure solutions are delivered according to specifications, timelines, and quality standards• Lead and execute User Acceptance Testing (UAT) and Behavior-Driven Development (BDD), including test planning, scenario design, and defect validation• Manage project-level plans, track milestones, and proactively escalate risks and delays to program leadership• Facilitate cross-functional communication across Technology, Risk, Compliance, and Business teams in a global environment• Support and enhance compliance surveillance capabilities related to trade monitoring, including wash trades, marking the open/close, spoofing, and insider trading
EDUCATION
Concordia University
Graduate, MBA in Investment Management
University of Guilan
Bachelor of Science (BS), Mechanical Engineering
ABOUT MAJED MOGHADAMI ALKAMI
Data & Business Analyst with experience supporting system migrations, data quality remediation, and onboarding workflows across global financial institutions. Holds an MBA in investment management and is a CFA Level candidate, with a strong foundation in equities, fixed income, derivatives, and trade lifecycle controls. Skilled in partnering with IT, Compliance, Risk, and Front Office teams to resolve data issues, validate system changes, and support Agile enhancement cycles. Working knowledge of SQL for data validation, reconciliation, and reporting. Currently building deeper capability in Power BI, financial modeling, and automation.
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