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9fin

9fin

9fin.com

4 Jobs

319 Employees

About the Company

9fin is the faster, smarter way to find debt market intelligence. Through an AI-powered data and analytics platform, 9fin centralises everything that's needed to analyse a credit or win a mandate in one place - helping subscribers win business, outperform their peers and save time.

Listed Jobs

Company background Company brand
Company Name
9fin
Job Title
Senior AI Engineer
Job Description
Job Title: Senior AI Engineer Role Summary: Lead the design, development, and deployment of large‑scale AI systems within the debt capital markets domain. Focus on generative AI, NLP, information retrieval, and LLMs to create applications that streamline financial and legal workflows. Act as a technical mentor and champion AI adoption across multiple product teams. Expections: - Advanced Python programming for production systems. - Expert knowledge of the generative AI ecosystem, including agentic frameworks. - Hands‑on experience with NLP, IR stacks, and LLM development. - Comprehensive model lifecycle mastery: experimentation, training, testing, monitoring, and deployment. - Proficiency with AWS AI/ML infrastructure (SageMaker, Bedrock, etc.). Key Responsibilities: - Design and build generative AI solutions tailored to complex financial and legal use cases. - Lead end‑to‑end model development, ensuring reproducible research and rigorous best practices. - Collaborate cross‑functionally to translate business problems into scoped, testable AI bets. - Mentor teammates and promote AI literacy across engineering, product, and research groups. - Iterate on models with a fail‑fast mentality, applying cutting‑edge research to deliver rapid improvements. - Own model monitoring, performance evaluation, and efficient deployment pipelines. - Advocate and drive AI adoption throughout the organization. Required Skills: - Python (production‑grade code, libraries such as PyTorch/Transformers). - Generative AI and agentic framework architectures. - NLP, IR, LLMs, and large‑scale data processing. - End‑to‑end machine learning lifecycle: experimentation, training, testing, monitoring, deployment. - AWS AI/ML services (SageMaker, Bedrock, Lambda, CloudFormation). - Strong software engineering practices (version control, CI/CD, testing). - Excellent communication and mentorship abilities. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Data Science, or a related field. - Optional certifications: AWS Certified Machine Learning – Specialty, AWS Certified ML – Developer, or equivalent AI/ML credentials.
London, United kingdom
On site
Senior
29-10-2025
Company background Company brand
Company Name
9fin
Job Title
Fullstack Engineer
Job Description
**Job title** Fullstack Engineer **Role Summary** Lead the design, development, and delivery of backend services and web applications for a fintech platform that provides rapid financial, credit, legal, and ESG analysis to institutional clients. Collaborate closely with product, client stakeholders, and cross‑functional teams to build scalable, API‑centric systems using Python, Flask/FastAPI, PostgreSQL, and AWS. **Expectations** - Deliver production‑grade code with automated tests and thorough documentation. - Mentor junior developers, conduct code reviews, and promote best practices. - Own end‑to‑end system components, ensuring data flow from storage to APIs. - Drive technical research, proof‑of‑concepts, and feature ideation. - Communicate complex technical concepts to non‑technical audiences. **Key Responsibilities** 1. Design and implement RESTful APIs and microservices in Python (Flask/FastAPI). 2. Develop data‑routing, processing, and automation workflows for financial and ESG datasets. 3. Write efficient SQL queries against PostgreSQL and manage database schema evolution. 4. Deploy services to AWS (Lambda, ECS/Docker) and configure CI/CD pipelines. 5. Conduct code reviews, enforce coding standards, and maintain code quality metrics. 6. Mentor junior engineers and facilitate knowledge sharing across teams. 7. Engage in early research on emerging technologies (ML/AI, serverless, containerization). 8. Participate in product and client meetings to gather requirements and provide technical guidance. 9. Continuously refactor and document legacy code to improve maintainability and performance. **Required Skills** - Strong proficiency in Python with experience in Flask and FastAPI, including type annotations. - Deep understanding of API design, Service‑Oriented Architecture, and microservices. - Expertise in relational database design, PostgreSQL, and SQL query optimization. - Familiarity with AWS services (Lambda, ECS, RDS, S3, IAM) and serverless deployment patterns. - Experience with Docker, CI/CD, and automated testing frameworks. - Excellent problem‑solving, architectural reasoning, and system‑level thinking. - Effective communication skills for cross‑functional collaboration and stakeholder engagement. - Ability to write clean, maintainable, and well‑documented code. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field. - Relevant certifications (e.g., AWS Certified Developer, Certified ScrumMaster) are a plus but not mandatory.
London, United kingdom
Hybrid
28-12-2025
Company background Company brand
Company Name
9fin
Job Title
Applied AI Manager
Job Description
Job Title: Applied AI Manager Role Summary: Lead the design, development, and deployment of AI/ML and GenAI solutions within a high-growth fintech environment, driving technical excellence, team growth, and cross‑functional collaboration to deliver data‑driven products. Expectations: - Lead and mentor a cross‑level engineering team committed to people development and inclusive performance management. - Deliver robust, scalable AI systems that align with business objectives and comply with production standards. - Champion best practices in software engineering, MLOps, and cloud infrastructure, fostering a culture of observability and continuous improvement. Key Responsibilities: - Design and implement end‑to‑end ML/GenAI pipelines, from experimentation through deployment and monitoring, ensuring reproducibility and reliability. - Make architectural decisions for data‑intensive AI products, balancing cutting‑edge techniques with production readiness. - Mentor engineers across skill levels, sharing coding standards, CI/CD practices, and ML/AI knowledge. - Collaborate with product, data, and business stakeholders to scope projects, prioritize roadmap items, and align technical solutions with business goals. - Lead technical discussions on trade‑offs, emerging tools, and best practices, while remaining hands‑on with critical code and design decisions. - Promote engineering excellence by maintaining code quality, observability, incident response processes, and continuous delivery pipelines. Required Skills: - Proven leadership of engineering teams in fast‑paced, growth‑focused environments. - Strong software engineering skills (Python preferred). - Deep knowledge of AI/ML frameworks (e.g., PyTorch, TensorFlow) and GenAI tooling. - Hands‑on experience building, deploying, and monitoring ML/GenAI systems at scale, preferably in data‑heavy domains such as finance or legal. - Competency with cloud infrastructure (AWS preferred); modern MLOps practices (model registry, CI/CD, monitoring). - Excellent communication, mentorship, and inclusive team‑building capabilities. Required Education & Certifications: - Bachelor’s degree in Computer Science, Engineering, Data Science, or related field (advanced degree preferred). - Relevant certifications (e.g., AWS Certified Machine Learning – Specialty, Google Cloud Professional Data Engineer) are advantageous.
London, United kingdom
On site
11-01-2026
Company background Company brand
Company Name
9fin
Job Title
Customer Success Director
Job Description
**Job Title** Customer Success Director **Role Summary** Lead the global Customer Success function for a rapidly growing fintech, building a world‑class CS framework aligned with commercial strategy. Shape vision, scale a high‑performing multinational team, and deliver data‑driven, proactive client experiences that drive adoption, retention, and expansion. **Expectations** - Define and deliver the long‑term CS strategy and operating model. - Design and enforce KPI‑driven performance metrics and reporting. - Own revenue protection and growth through customer health and usage. - Build and mentor a global CS organization (US, EU, product lines). - Collaborate tightly with Account Management, Product, Sales, and Operations. - Provide executive visibility on CS health and impact. **Key Responsibilities** - **Leadership & Team Development** – Recruit, onboard, train, and develop CS managers and staff; set hiring criteria and scalable onboarding programs. - **Strategy & Framework Design** – Create vision, roadmap, and standardized processes for onboarding, adoption, success planning, and lifecycle management. - **Commercial Impact** – Partner with AM leaders to align CS initiatives with retention, expansion, and ROI goals; develop usage‑based growth strategies. - **Cross‑Functional Collaboration** – Serve as customer advocate for Product, Engineering, Operations, and Marketing; translate insights into roadmap priorities. - **Operational Excellence** – Implement tooling, automation, and governance for CRM, playbooks, performance dashboards, and client communications. - **Feedback Loops** – Establish continuous improvement cycles to enhance the customer experience. **Required Skills** - 6+ years in Customer Success, Account Management, or related leadership within Capital Markets, Enterprise B2B SaaS, or Financial Data. - Proven experience building, scaling, or transforming CS/AM functions, managing multi‑regional teams, and owning performance metrics. - Deep knowledge of global financial markets and credibility with buyside, sellside, and advisory clients. - Demonstrated success driving retention, usage growth, and expansion (ideally managing a book ≈$3 M+). - Expertise in KPI design, dashboards, and usage‑driven strategy implementation. - Strong people‑management skills: coaching, inspiring, and developing high‑performance teams. - Excellent written and verbal communication; ability to influence senior stakeholders. - Prioritization and execution discipline in a fast‑paced environment. **Required Education & Certifications** - Bachelor’s degree in Business, Finance, Computer Science, or related field (or equivalent experience). - Any relevant CS or SaaS certification (e.g., Certified Customer Success Manager, CSPO) is advantageous but not mandatory.
London, United kingdom
On site
Mid level
20-01-2026