AI engineer in debt markets

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.

• Design and build generative AI applications tailored to complex financial and legal workflows, leveraging state-of-the-art models to deliver innovative, practical solutions that streamline decision-making and unlock new efficiencies.
• Drive end to end model development lifecycle, leading the team in best practices, ensuring reproducible research and well managed model delivery/deployment.
• Collaborate cross functionally to share diverse ideas, understand business problems, and elevate/mentor your teammates.
• Translate complex problems into well-defined scoped bets in an internal startup style environment, dynamic and fast-paced.
• Learn and apply ground-breaking research and approaches in advanced topics, iterating improvements with a fail fast mentality.
• Be a proactive sharer of compelling ideas/work to the rest of the team and organisation.
• We want you to help lead/push the adoption of AI throughout 9fin.

• Strong proficiency in Python for production ready delivery.
• deep expertise in one and familiarity with others is ideal: Information Retrieval: chunking strategies, (finetuning) embedding models, training re-rankers.
• Entity/relationship extraction/resolution
• Knowledge Graphs; building and inference, graphRAG
• Recommendation systems and ranking: personalisation, learning-to-rank, feed ranking, user modelling, etc.
• Tabular ML: feature engineering, structured data modelling (GBDTs, etc.)
• Statistical & Predictive Modelling: supervised ML, anomaly detection, temporal modelling, etc.
• Deep understanding of the GenAI landscape and agentic frameworks.
• Experience working in the full model lifecycle (including experimentation, training, testing, monitoring, and deployment).
• You have a strong product focus with a desire to understand the end-to-end impact of your solutions for our end users.
• Good knowledge of AWS’s AI infrastructure.

• Competitive Salary (our salary bands are benchmarked at the top end of the market)
• 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 (UK) per employee to trial AI tools
• Quarterly team socials
• Summer and Winter company social events
• From January 2027, all employees will work from their designated 9fin office on Tuesdays and Wednesdays.
• Some teams may be asked to be in the office more often, where the nature of their work calls for it.
• For the rest of the week, you may work from wherever works best for you and your team.