Job Description
EquiMatch is a Berlin-based AI-assisted deal target generation platform serving private equity firms. We turn high-level investment criteria into curated longlists of acquisition targets — combining structured data, web scraping pipelines, and LLM-assisted enrichment to surface companies that traditional databases miss. We work directly with PE deal teams across Europe, and we're scaling the team that turns mandates into pipeline. Tasks You'll own the workflow that takes a client's investment thesis and turns it into a high-quality longlist of target companies. Day-to-day, this means: Translating buy-side mandates, CIMs, and acquirer profiles into structured search scopes — value chain positioning, keywords, inclusion and exclusion criteria Building longlists by querying our backend, running pipelines, and combining results from multiple data sources (our internal database, third-party providers, web-scraped data) Running QA on pipelines before they go to clients — checking data quality, leadership coverage, country mapping, and clause logic Requirements Fluent in English 1–3 years in an analytical role any prioir experience in the financial industry - a plus prior experience in M&A - a plus experience working with company databases Benefits Real ownership A toolchain built for leverage: reusable Claude-powered skills, internal APIs, and data infrastructure that you'll help shape A front-row seat to how AI is reshaping a slow-moving corner of finance — and the chance to build the playbook we're looking for remote support and prioritize candidates based on prior relevant experience and timezone proximity Originally posted on Himalayas
