Data Operations Associate - Distressed

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.

At 9fin, we've built a dedicated Data Operations team in Belfast to enhance our data processing capabilities.

You'll be part of a highly skilled team focused on ensuring high-quality, lightning-fast data is delivered to our platform, enabling our clients to act with speed and confidence.

You'll work closely with teams in New York, London, and Belfast focused on Distressed Debt.

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

• Extract and process distressed debt and bankruptcy filings from US courts, regulatory bodies, and financial databases, ensuring accurate and timely entry into 9fin's proprietary database

• Review, classify, and structure large volumes of legal and financial documents including Chapter 11 filings, restructuring plans, and court dockets

• Maintain data integrity across 9fin's distressed debt coverage universe, flagging inconsistencies and working with the editorial and product teams to resolve them

• Build and maintain structured records of debtor entities, creditor hierarchies, and case timelines across active bankruptcy proceedings

• Collaborate with the distressed content and technology teams to identify opportunities to improve data extraction workflows and tooling

• Support ad hoc data requests from journalists, analysts, and client-facing teams requiring deep dives into specific case files or issuer histories

This role will be a great fit if you:

• Have strong attention to detail and a methodical approach to working through large volumes of structured and unstructured data

• Are comfortable working with legal and financial documents — prior exposure to bankruptcy filings, court dockets, or credit agreements is a plus

• Have experience in a data entry, data operations, or research role, ideally within financial services, legal, or media

• Are proficient in spreadsheet tools (Excel or Google Sheets) and comfortable learning new data management systems

• Can work independently and manage your own workload against deadlines in a fast-paced environment

• Are based in or able to commute to Belfast

• Competitive Salary (our salary bands are benchmarked at the top end of the market)

• Equity options

• Pension (your minimum contributions are 4% with 9fin matching up to 7%) Private Medical Insurance

• Paid sick leave with Income Protection for long periods of illness

• Group Life Assurance

• Season Ticket Loan & Cycle to Work schemes

• 25 holiday days per year

• Local public holidays (with the ability to exchange them for alternative days)

• Hybrid working model, to allow you the flexibility to decide how, where and when you do your best work

• Work abroad for up to 3 months a year

• 1 month paid sabbatical after 5 years of service

• Enhanced parental leave & flexible working arrangements available

• Professional learning and development budget

• AI experimentation budget of £800 per employee to trial AI tools

• Bi-annual team socials

• Summer and Winter company social events

At 9fin we are dedicated to building and promoting a fair and inclusive workplace where everyone can reach their full potential and truly belong. We recognize that building diverse teams enables a more creative and productive environment. If you’re excited about this role but your experience doesn’t perfectly align with the job description, we encourage you to apply anyway. You might just be who we’re looking for — either for this role, or perhaps another.