London finance analyst job postings fall 77% as banks restructure around AI
Junior analyst hiring contracts sharply as banks and hedge funds redirect grunt work toward AI tooling.

Junior analyst hiring contracts sharply as banks and hedge funds redirect grunt work toward AI tooling.

The $18 billion firm is building a long-biased equity strategy where hundreds of AI agents handle research work normally done by analyst teams.

Expert networks and data vendors have plugged into Claude through MCP faster than the buy-side has agreed on how to grade what comes back.

The Lazard-analyst-turned-founder lays out how Rogo got past banker skepticism, where the bulge-bracket footprint stands, and why sitting next to OpenAI is both a channel and a risk.

The world's highest-grossing law firm is building software with Palantir to advise sponsors on raising capital from LPs like pension funds.

The consortium-backed infrastructure layer routes broker research, transcripts, filings, and expert content into AI tools through entitlement-aware APIs.

The expert network's MCP connector lets clients query 100,000+ compliance-reviewed transcripts inside Perplexity Computer for Finance.

A $47M Series C and a published accuracy gap sharpen the argument that the data layer, not the model, is now the binding constraint on agent-driven research.

The structured-data provider keeps pushing its numbers into the AI tools analysts already use, with Rogo the latest destination after ChatGPT, Claude, and Perplexity.

Founder Joe O'Donnell, a former short seller, says the agent compresses work that once took him weeks into hours.

A 13-year hedge-fund veteran is turning his old workflow, mining filings and statements for signal, into software.

The fundamentals-data vendor is positioning itself as the structured-data plumbing behind LLM finance workflows.

Boston-based PE consultancy adds dedicated AI team to advise sponsors and portfolio companies on diligence, readiness, and deployment.

Enterprise Claude customers can now route existing spend commitments to Hebbia's finance research platform.

Hebbia and Claude show up in concrete GP workflows, but adoption pace varies sharply across managers.

The integration pipes approved virtual data room content into Hebbia's analysis layer, preserving version control across diligence cycles.

Bloomberg profiles Felipe Sinisterra and Dave Wang, who are billing global banks to operationalize the AI tools their internal teams have struggled to deploy.

The expert network's LinkedIn post frames the platform overhaul as a way to combine qualitative expert calls with quantitative data inside a single AI-scoped workflow.

An allocator's social post points to a quieter shift in expert-network platforms: ingesting buy-side notes alongside vendor transcripts.

An X post frames the financial data layer as a structural winner in the AI buildout, citing in-house data science as the moat.

Guidepoint, Third Bridge, GLG, and AlphaSense are racing to wire transcript libraries into Claude. The plumbing wins distribution and compresses pricing at the same time.

The expert network's corporate X feed pairs human expertise with AI speed, a positioning increasingly common across the tier-one EN field.

The expert network is pitching faster expert-to-analyst connection as the category absorbs AI workflow tooling.

Charlie Zvibleman details a token-hungrier reasoning stack and broader coding access as the market intelligence platform pushes deeper into agentic workflows.

The student-services company is repositioning a decade of subject-matter experts as training data for reasoning models.

CEO Sam Liang argues meeting assistants stalled at transcription. His fix is a permission-gated knowledge graph across every call.

London startup uses conversational AI to build expert profiles, betting that voice interviews surface skills resumes miss.

The newsletter idea pitches removing schedulers from the expert-call workflow. Worth reading as a thought experiment, not a roadmap.

The newly appointed finance chief tells CFO Dive she's targeting an AI-native finance org while pushing growth-efficiency metrics alongside top-line.

The expert network is exposing its 100,000+ interview archive to LLMs through Anthropic's Model Context Protocol, putting transcript retrieval one prompt away from the analyst's chat window.
