The Role
Translate buy-side mandates into structured search scopes, build longlists by querying databases and running web-scraping pipelines, combine multiple data sources, and run QA on pipelines to ensure data quality, leadership coverage, and country mapping.
Summary Generated by Built In
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
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
Skills Required
- Fluent in English
- 1-3 years in an analytical role
- Experience working with company databases
- Prior experience in the financial industry
- Prior experience in M&A
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The Company
What We Do
EquiMatch provides AI-powered proprietary M&A origination services for private equity firms, corporate acquirers, and M&A advisors. The company leverages AI-driven research and personalized outreach to identify, score, and engage off-market acquisition targets. By offering end-to-end sourcing—from target identification to vetted introductions—EquiMatch simplifies the merger and acquisition process and eliminates the need for large in-house analyst teams.
