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.

About the role

We're building the data platform that powers both our internal analytics and, increasingly, our customer-facing data products - screeners, embedded analytics, and data feeds/sharing. This role owns the movement, storage, and productisation of data end to end: from ingesting high-volume operational data out of our Product Engineering services into the lake, to serving it back to customers under a production SLA.

This is a platform and product leadership role, not an analytics or BI modelling role. Our Analytics team already owns dbt, the semantic layer, and internal BI - you partner with them and consume their definitions; you don't rebuild what they own.

What you'll own

• Ingestion - event-driven and CDC streams, stream processing (e.g. Flink), batch, and file-based vendor feeds (SFTP / managed file transfer), landing data from Product Engineering services into the lake
• The lake / lakehouse - Parquet, Trino, table formats, partitioning, and the physical and analytical modelling underneath
• The serving / cache tier - powering customer-facing screeners and analytics at production latency and concurrency
• Data sharing and feeds - governed external delivery via Snowflake / Databricks (Delta Sharing), APIs, and file feeds
• The reverse-ETL platform - pushing derived data back to operational systems and downstream tools
• Data contracts and governance - schema governance, entitlements, and the classification controls that keep sensitive data (e.g. people data) off the customer edge

What we're looking for

• Has built and operated a customer-facing data product under an SLA - embedded analytics, a data-feed/API business, or a data-sharing product - not only an internal warehouse
• Deep experience moving high-volume data in production: event-driven and CDC ingestion, stream processing (Flink), batch, file-based feeds, schema evolution, backfills
• Strong on schema registries and contracts (Avro/Protobuf, evolution, breaking-change handling across producers and consumers) - not just dimensional modelling
• Fluent in Parquet, Trino, streaming (Kafka/Flink), and lakehouse platforms (Snowflake/Databricks), and the throughput and cost engineering that comes with scale
• Product and governance instincts: multi-tenancy, row-level entitlements, usage metering, and data classification
• Bonus: experience in financial data, capital markets, or market-intelligence products (Bloomberg / S&P / 9fin-style).

How you'll work

Peer to the Head of Analytics - you own platform and external data products; they own meaning and internal BI. You consume their semantic layer as a contract, and neither team duplicates the other.

Partner with Product Engineering (our Core and Market Vertical domain teams) as your data producers - defining versioned data contracts and a paved-road ingestion path rather than tapping their raw tables.

9fin is an equal opportunities employer

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.