CLO Data Journalist

🇺🇸 New York City, New York
Posted Just posted
Expires June 7, 2026

About 9fin

9fin is the AI platform powering global debt markets — the world’s largest asset class at over $145 trillion.

Debt markets are vast, global, and mission-critical, yet still run on fragmented data, PDFs, and manual workflows. 9fin replaces this broken infrastructure with a single platform that centralises proprietary credit data, deep analysis, and high-value workflows across global markets.

Today, 9fin powers teams at 300+ blue-chip institutions worldwide, including global banks, asset managers, private equity firms, law firms, and advisors. The business is scaling at exceptional speed, with rapid expansion in the US and best-in-class retention driven by deep workflow adoption.

We’re at a defining inflection point. With proven product-market fit and strong, global market pull, 9fin is accelerating toward becoming the category-defining platform for debt markets worldwide.

THE OPPORTUNITY

We’re looking for an ambitious, relationship-driven data journalist to maintain our best in market coverage of the $1 trillion+ CLO market, based in New York.

This is a front-line analytical role in one of the most sophisticated and fast-moving areas of credit.

You’ll be embedded in the market, speaking daily with the CLO market and producing analysis heavy content backed by data. Success in this role depends on your ability to work with large datasets, maintain strong relationships, and turn insight into analytical and trend coverage.

You should be energised by meeting people, comfortable engaging senior market participants, and motivated by working with data.

Just as importantly, you’re collaborative, generous with colleagues, and someone who contributes positively to a team environment.

The role is New York–based and includes opportunities to travel for industry conferences.

WHAT YOU’LL WORK ON

Every day is different, but here’s an example of the kind of things you’ll work on:

- Identifying trends – You’ll regularly find trends by speaking to the mar...

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