Senior Sector PM / Lead Equity Analyst / Event-Driven Investor

We are building expert-authored forecasting and research data used to evaluate and improve AI models on real financial analysis. Each task asks a practitioner to reason from a fixed evidence cutoff — no hindsight — and document the judgment a strong analyst would have made at that moment.

This role covers company event propagation: identifying the companies related to an upcoming event and estimating how the catalyst should transmit to each of them.

Requirements

What you will do

• Map suppliers, customers, competitors, distributors, substitutes, and geographic exposure from EDGAR filings, footnotes, exhibits, transcripts, and industry data
• Identify related companies ahead of an event and separate direct exposure from weak thematic correlation
• Estimate direction, magnitude, horizon, and confidence, and name the revenue, margin, earnings, or valuation mechanism behind each
• Review model-generated analyses and grade them against your own standard

Who we are looking for

• A senior sector PM, lead equity analyst, or event-driven investor with deep knowledge of a specific industry
• Hands-on experience mapping a company's economic network from primary filings, not from screens or third-party tags
• Typically 8+ years of direct experience, or unusually strong evidence of equivalent performance

Backgrounds we look at first: top multi-manager and event-driven funds, leading sector teams at major asset managers and banks, and elite specialist research firms — for example Citadel, Millennium, Point72, Balyasny, D. E. Shaw, and top sell-side sector franchises. Brand-name experience is a strong first-pass signal but is not a hard requirement — direct experience and performance on the work sample determine who qualifies.

Point-in-time discipline

Every task is graded on reasoning from the stated cutoff without hindsight, data leakage, confidential information, or material non-public information.

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.