Finance Paid Consultant - IR Analytics, Peer Benchmarking & Targeting

We are seeking experienced IR analytics and shareholder-intelligence professionals (or finance professionals supporting IR insights) to provide expert insight as part of a project for our AI Marketplace. No preparation required — just your real-world experience.

This is a one-time, paid, project-based interview engaged on a contract basis— not a full-time role.

• Location: U.S.-based experts only
• Engagement: One-time, project-based interview
• Work Type: Remote

Estimated rate: $135/hour (prorated for the 30-minute task)

What You’ll Do

You’ll complete a ~30-minute recorded AI-led video interview where you explain how you actually do your work in practice.

This interview will focus on:

• Benchmarking peer financial results, guidance, metrics, disclosures, and competitive narratives
• Normalizing non-comparable data and translating peer read-throughs into leadership or board insight
• Analyzing ownership data, shareholder-base shifts, activist risk, and investor targets
• Synthesizing investor perception and feedback into reporting for leadership or the board

You will be asked to explain workflows specifically within: peer benchmarking, ownership analysis, shareholder targeting, investor feedback synthesis, board reporting, and IR insight workflows.

You should only apply if you can confidently walk through these areas step-by-step based on your own experience and respond to AI-led interview questions with depth, clarity, and real-world examples.

What We’re Looking For

• 6+ years in investor relations analytics, shareholder targeting, competitive benchmarking, capital markets intelligence, or IR advisory
• Direct, hands-on experience in peer benchmarking, ownership analysis, shareholder targeting, investor feedback synthesis, board reporting, and IR insight workflows
• Experience making or influencing decisions related to peer set, metric comparability, investor targeting criteria, activist-risk escalation, insight quality, and board-material readiness
• Familiarity with tools such as: FactSet, Bloomberg, Visible Alpha, Nasdaq IR Insight, Q4, AlphaSense, Excel, PowerPoint
• Strong ability to clearly explain workflows, decisions, and reasoning
• Experience owning or directly executing these workflows in a real production environment
• Experience working in a cross-functional finance, strategy, treasury, investor-relations, or business-partnering environment

About the Interview

The interview is designed to elicit step-by-step explanations of real workflows and decision-making processes, with an emphasis on detailed, experience-based responses rather than high-level summaries.

This is a project-based engagement. Selected participants will be paid for completing a recorded AI-led video interview; hourly rates are estimates based upon anticipated time of completion. Participants will control their own schedule, provide their own tools to complete the interview, and may participate in other opportunities as they choose.

Once you complete the interview, we’ll send your video recording and transcript, along with AI-generated insights, to the internal research team and AI lab partner. This data will be used to generate a structured list of tasks associated with your profession and for AI model improvement.

LinkedIn Global Data Privacy Notice for Job Candidates: https://legal.linkedin.com/content/dam/legal/Global-Data-Privacy-Notice_LI_TalentCommunity.pdf