9fin operates a Python + AWS + PostgreSQL stack with heavy data infrastructure (BigQuery, Snowflake, dbt, Elasticsearch), serving credit teams at institutional buyers of debt intelligence. The hiring velocity—57 roles posted in 30 days across data (14), media (13), and engineering (10)—tracks accelerating demand, while active projects reveal product expansion into private credit and pricing optimization. Pain points center on fragmented corporate credit data and slow news/trading pipelines, pointing toward engineering efforts to consolidate sources and reduce latency.
9fin is an AI-native debt markets intelligence platform used by over 300 financial institutions—investment banks, investors, advisors, and law firms. The product aggregates real-time news, comprehensive debt data, and advanced analytics to surface visibility across public, private, and distressed debt instruments. The company was founded in 2016 and is headquartered in London with 201–500 employees. Current product work spans account expansion, private credit data collection, API development, and pricing strategies for cross-sell, alongside infrastructure modernization (Ironclad workflow optimization, database expansion for restructuring and LME data).
Core: Python, Flask, FastAPI, PostgreSQL, AWS (Lambda, ECS). Data: BigQuery, Snowflake, dbt, Elasticsearch. Analytics: Power BI, Looker, Thoughtspot. Operations: Salesforce, HubSpot, Ashby, Slack, Terraform, Docker.
United States, United Kingdom, China, Argentina, and Australia. Headquarters is London.
9fin's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.