Business Information Analytics Researcher – Director

Overview

In this Director-level role, you lead in-depth research and analytics across EMEA Industrials to support internal client decision-making, with a focus on investments and cross-functional collaboration. You will develop high-value research and AI-enabled workflows to drive scalable, compliant solutions. You’ll partner with senior stakeholders across Investment Banking, Research, and other groups to shape strategic priorities. This is a chance to impact decision support processes and innovation at Morgan Stanley.

Responsibilities

• Conduct company, market, and industry research across EMEA Industrials to support internal decision-making
• Develop expertise and produce high-value research, analytics, benchmarking, and industry reporting
• Analyze complex data and synthesize insights into actionable recommendations
• Build trusted partnerships with senior stakeholders across multiple business groups
• Design, build, and maintain AI-enabled workflows, prompts, and reusable skills with governance
• Drive innovation by optimizing research processes and enabling scalable, compliant solutions

Key requirements

• Minimum 4 years of experience in sector research, information research, financial analytics, or a comparable financial services role
• Industrials experience preferred but not required
• Strong business, finance, and accounting knowledge including capital markets and financial modeling concepts
• Excellent client relationship management and ability to handle competing priorities
• Experience designing AI-enabled workflows, workflow orchestration, and control frameworks
• Strong analytical judgment and problem-solving, with ability to assess data quality and AI outputs
• Strong written and verbal communication to engage senior stakeholders
• Effective organizational and project management skills with ability to deliver independently
• Proficiency in financial and market information platforms, research databases, spreadsheets, presentations, and emerging technologies
• Ability to collaborate across functions and geographies while maintaining confidentiality and compliance

• Client relationship management
• Communication (verbal and written)
• Cross-functional collaboration
• AI-enabled workflows and prompts
• Workflow orchestration and control frameworks
• Data quality assessment and AI output evaluation

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