Analyst, Content Specialist, Innovation

Responsibilities: Institutional Knowledge Capture & Documentation

Aid in capturing, documenting, and structuring institutional knowledge from subject matter experts across the Firm, including investment, asset management, portfolio management, and Impact teams

Ensure consistency, clarity, and accuracy in all documented materials

Help build and maintain a living knowledge architecture that serves as the foundation for the Firm's AI models

Meeting Transcription & Synthesis

Transcribe and summarize notes from key management, investment, and strategy meetings

Work with the Chief Innovation Officer to identify recurring themes, insights, and decision logic across discussions and initiatives

Organize and maintain a searchable, well-structured knowledge base that preserves the Firm's collective institutional judgment

AI Model Collaboration

Work closely with engineering and data teams as AI models are trained, tested, and refined

Assist in updating and curating content as models evolve and new insights are generated

Serve as a quality bridge between human expertise and machine interpretation, ensuring fidelity between what professionals know and what models learn

Thought Leadership & Communication Support

Assist the Chief Innovation Officer in developing marketing and communications materials related to the Firm's AI strategy and applications

Draft case studies, internal briefings, and stakeholder-facing narratives demonstrating the practical use of AI tools and techniques

Support broader firm-wide storytelling around innovation and institutional knowledge, helping articulate the Firm's differentiated approach to AI in investment management

Requirements: Bachelor's degree in Communications, Marketing, Journalism, English, or a related field

1–3 years of experience in writing, content development, research, marketing, or communications

Exceptional writing, editing, and synthesis skills, with the ability to translate complex ideas into clear, structured content

Strong organizational skills and attention to detail

Interest in AI, knowledge management, and emerging technologies (direct technical experience not required)

Preferred

Prior experience in financial services, investment management, or real estate

Familiarity with AI/ML concepts, large language models, or knowledge management systems

Experience with transcription, interview-based research, or qualitative data synthesis

Competencies

Synthesis & Translation - Ability to distill complex investment and technical concepts into clear, accessible, and actionable content

Intellectual Curiosity - Genuine interest in learning how AI systems work and how institutional knowledge can be encoded into intelligent models

Precision & Fidelity - Meticulous attention to detail; commitment to ensuring documented content accurately reflects expert judgment

Storytelling - Strong narrative instincts with the ability to craft compelling content for both internal and external audiences