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. The Opportunity Our AI product area is growing. We already have two Product Managers working across conversational AI, agentic workflows, and domain specific automation, and we need a third to expand our capacity as the scope of AI at 9fin accelerates. Backed by over $170M in funding (Series C), we are scaling rapidly across product, engineering, and go to market. AI is not a bolt on feature at 9fin; it is the core differentiator for the next phase of the company. You will join an established AI PM team and take ownership of a product area within our AI surface. This could span new AI powered features for credit analysts, workflow automation for legal and financial analysis, or expanding our conversational AI into new domains. The team has already built evaluation infrastructure and quality frameworks; you will use and contribute to these rather than build them from scratch. You will work within our product organization (eight squads across AI, data, and domain verticals) and partner closely with ML engineers, data scientists, domain experts, and designers. This is a high autonomy role with real scope to shape what 9fin's AI products can do for our clients. What You'll Do Product Strategy & Execution Collaboratively create and champion a clear product vision and strategy for your area, with a focus on building and evolving our AI products Synthesize qualitative and quantitative insights into problem statements that identify root causes, not just symptoms Shape the next generation of agentic AI products: multi step reasoning workflows, tool orchestration, and autonomous task completion for financial professionals Demonstrate a working understanding of the challenges specific to building with LLMs, including managing hallucinations, evaluating output quality, and designing for non deterministic systems Use confidence building methods (prototypes, user research, data analysis) to understand how users will interact with AI powered products before committing to full builds AI Quality & Data Use the team's AI evaluation framework (LLM as judge protocols, quality thresholds, SME eval cycles) to validate and improve the products you ship Contribute to the data strategy for your product area: annotation quality, ground truth curation, and feedback loops that improve model performance over time Proactively identify and track metrics that measure client and business benefit, working with the team on continuous model evaluation and improvement Team Leadership & Communication Create a collaborative environment for your squad, providing wider context and clear goals so everyone can do their best work Work with data scientists and ML engineers to bridge the gap between business needs and the technical capabilities of AI models Communicate strategy, initiatives, and progress transparently across the organisation Translate complex AI concepts, capabilities, and limitations into language that non technical stakeholders can act on Champion responsible AI practices: transparency in model outputs, bias monitoring, and compliance with client expectations around AI generated content What We're Looking For 5+ years of product management experience, preferably in FinTech or B2B SaaS, with at least 2 years focused on ML or GenAI products Working knowledge of RAG architectures, embeddings, prompt engineering, and LLM evaluation methods (not just "AI concepts" at a high level) Experience shipping AI products where output quality is probabilistic: you know how to define "good enough" and iterate from there Comfortable reading Python notebooks and SQL to interrogate model outputs and usage data Track record of shipping AI products where you managed the tension between ML research/exploration and production delivery constraints Collaborative leadership style with strong stakeholder management; you build relationships that empower your team to achieve outcomes User centric communication skills: you can explain AI capabilities and limitations to clients and internal stakeholders without overselling or underselling You thrive in fast paced, ambiguous environments and are energised by the challenge of building something new Nice to Have Experience in financial services, legal tech, or data/analytics platforms Familiarity with credit markets, debt instruments, or regulatory/compliance workflows Experience with NLP applied to document analysis (contracts, legal filings, financial reports) Experience with agent orchestration frameworks, tool use patterns, or multi step AI workflows Benefits Competitive, market benchmarked salary Pension with 7% company matching Private medical insurance, paid sick leave, income protection, group life assurance Season ticket and cycle to work schemes Hybrid flexibility with up to 3 months annual work abroad 25 holiday days plus local public holidays (exchangeable) One month paid sabbatical after 5 years; enhanced parental leave Professional development budget and regular social events 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.
14/07/2026
Full time
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. The Opportunity Our AI product area is growing. We already have two Product Managers working across conversational AI, agentic workflows, and domain specific automation, and we need a third to expand our capacity as the scope of AI at 9fin accelerates. Backed by over $170M in funding (Series C), we are scaling rapidly across product, engineering, and go to market. AI is not a bolt on feature at 9fin; it is the core differentiator for the next phase of the company. You will join an established AI PM team and take ownership of a product area within our AI surface. This could span new AI powered features for credit analysts, workflow automation for legal and financial analysis, or expanding our conversational AI into new domains. The team has already built evaluation infrastructure and quality frameworks; you will use and contribute to these rather than build them from scratch. You will work within our product organization (eight squads across AI, data, and domain verticals) and partner closely with ML engineers, data scientists, domain experts, and designers. This is a high autonomy role with real scope to shape what 9fin's AI products can do for our clients. What You'll Do Product Strategy & Execution Collaboratively create and champion a clear product vision and strategy for your area, with a focus on building and evolving our AI products Synthesize qualitative and quantitative insights into problem statements that identify root causes, not just symptoms Shape the next generation of agentic AI products: multi step reasoning workflows, tool orchestration, and autonomous task completion for financial professionals Demonstrate a working understanding of the challenges specific to building with LLMs, including managing hallucinations, evaluating output quality, and designing for non deterministic systems Use confidence building methods (prototypes, user research, data analysis) to understand how users will interact with AI powered products before committing to full builds AI Quality & Data Use the team's AI evaluation framework (LLM as judge protocols, quality thresholds, SME eval cycles) to validate and improve the products you ship Contribute to the data strategy for your product area: annotation quality, ground truth curation, and feedback loops that improve model performance over time Proactively identify and track metrics that measure client and business benefit, working with the team on continuous model evaluation and improvement Team Leadership & Communication Create a collaborative environment for your squad, providing wider context and clear goals so everyone can do their best work Work with data scientists and ML engineers to bridge the gap between business needs and the technical capabilities of AI models Communicate strategy, initiatives, and progress transparently across the organisation Translate complex AI concepts, capabilities, and limitations into language that non technical stakeholders can act on Champion responsible AI practices: transparency in model outputs, bias monitoring, and compliance with client expectations around AI generated content What We're Looking For 5+ years of product management experience, preferably in FinTech or B2B SaaS, with at least 2 years focused on ML or GenAI products Working knowledge of RAG architectures, embeddings, prompt engineering, and LLM evaluation methods (not just "AI concepts" at a high level) Experience shipping AI products where output quality is probabilistic: you know how to define "good enough" and iterate from there Comfortable reading Python notebooks and SQL to interrogate model outputs and usage data Track record of shipping AI products where you managed the tension between ML research/exploration and production delivery constraints Collaborative leadership style with strong stakeholder management; you build relationships that empower your team to achieve outcomes User centric communication skills: you can explain AI capabilities and limitations to clients and internal stakeholders without overselling or underselling You thrive in fast paced, ambiguous environments and are energised by the challenge of building something new Nice to Have Experience in financial services, legal tech, or data/analytics platforms Familiarity with credit markets, debt instruments, or regulatory/compliance workflows Experience with NLP applied to document analysis (contracts, legal filings, financial reports) Experience with agent orchestration frameworks, tool use patterns, or multi step AI workflows Benefits Competitive, market benchmarked salary Pension with 7% company matching Private medical insurance, paid sick leave, income protection, group life assurance Season ticket and cycle to work schemes Hybrid flexibility with up to 3 months annual work abroad 25 holiday days plus local public holidays (exchangeable) One month paid sabbatical after 5 years; enhanced parental leave Professional development budget and regular social events 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.
9fin Limited is looking for an experienced Product Manager in London to drive AI product strategy and execution. You will be collaborating with cross-functional teams, focusing on building AI capabilities for financial professionals. The ideal candidate has over 5 years of product management experience, especially in AI and FinTech, and excellent communication skills. The role offers a hybrid work model, competitive salary, and benefits including a pension plan and professional development budget.
14/07/2026
Full time
9fin Limited is looking for an experienced Product Manager in London to drive AI product strategy and execution. You will be collaborating with cross-functional teams, focusing on building AI capabilities for financial professionals. The ideal candidate has over 5 years of product management experience, especially in AI and FinTech, and excellent communication skills. The role offers a hybrid work model, competitive salary, and benefits including a pension plan and professional development budget.
9fin Limited is seeking a Senior Product Security Engineer to join our software engineering teams and enhance the security of our products as we scale. In this hands-on role, you will ensure that security considerations are embedded in product design, collaborating closely with product and platform engineering teams. You will influence critical architecture decisions and implement secure practices to protect sensitive customer information, helping to drive a consistent approach to security at 9fin.
10/07/2026
Full time
9fin Limited is seeking a Senior Product Security Engineer to join our software engineering teams and enhance the security of our products as we scale. In this hands-on role, you will ensure that security considerations are embedded in product design, collaborating closely with product and platform engineering teams. You will influence critical architecture decisions and implement secure practices to protect sensitive customer information, helping to drive a consistent approach to security at 9fin.
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. The Opportunity We're looking for a Senior Product Security Engineer to join one of our software engineering teams and help shape the security of our products as we continue to scale. This role will be embedded within a team responsible for some of the most security critical parts of the 9fin platform. The team works on the systems and controls that protect sensitive customer information, ensuring data is stored, accessed and processed securely throughout its lifecycle. You'll work alongside product engineers day to day, participating in planning, design discussions, refinement sessions and technical decision making. You'll help the team make sound architectural decisions about how sensitive information is stored, processed and accessed, balancing security requirements with product and engineering goals. The team operates at the intersection of application security, cloud security, data protection and AI security. You'll help shape how 9fin approaches challenges such as tenant isolation, access control, confidential data handling and the secure use of AI systems. While embedded within product engineering, you'll remain closely connected to our Platform Engineering and Information Security teams, helping drive a consistent approach to security across 9fin. This is a hands on engineering role. You won't be building product features full time, but you should be comfortable reading, reviewing and writing production code when security requirements demand it. What you'll work on Embed within a product engineering team and help shape the security of our products from design through to production. Influence architecture, design and implementation decisions to ensure security is considered from the outset. Partner with Product Engineering, Platform Engineering and Information Security teams to identify risks, define appropriate controls, and build secure by default systems. Contribute code, reviews and technical guidance where security expertise is required. Act as a security advocate and trusted advisor within the team, helping balance risk, usability and delivery. What we're looking for Significant experience securing modern software systems and applications. Strong understanding of secure software architecture, threat modelling and security engineering practices. Deep familiarity with cloud native architectures and security controls, particularly within AWS. Experience designing systems that handle sensitive, confidential or regulated data. Comfortable reading, reviewing and writing production code, ideally with experience in Python or similar backend technologies. Familiar with the security considerations of modern data stores such as PostgreSQL. Pragmatic judgement and the ability to balance security, product and engineering needs. Ability to influence engineers and stakeholders across multiple teams without relying on formal authority. Familiarisation with SOC2 and ISO 42001 is a bonus. What success looks like Security considerations are embedded into product design discussions rather than introduced late in the delivery process. Teams can move quickly because secure patterns, architectural guidance and security controls are well understood. Risks are identified and addressed before they become incidents. Security is seen as an enabler of product delivery rather than a gatekeeper. Why this role matters Security cannot be something that happens after software has been designed. As 9fin continues to expand its platform and handle increasingly sensitive customer information, we need security expertise embedded where decisions are being made. This role will help ensure that security is considered from the earliest stages of product development, allowing us to move quickly while maintaining the trust our customers place in us. Benefits We're a scaling start up and we enjoy sharing our success, when the company succeeds, we always reinvest that in our people. We also offer huge amounts of responsibility, an abundance of opportunity for growth and a platform to truly excel. Financial & Insurance 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 Time off 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 Training & Culture Professional learning and development budget Quarterly team socials Summer and Winter company social events 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.
10/07/2026
Full time
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. The Opportunity We're looking for a Senior Product Security Engineer to join one of our software engineering teams and help shape the security of our products as we continue to scale. This role will be embedded within a team responsible for some of the most security critical parts of the 9fin platform. The team works on the systems and controls that protect sensitive customer information, ensuring data is stored, accessed and processed securely throughout its lifecycle. You'll work alongside product engineers day to day, participating in planning, design discussions, refinement sessions and technical decision making. You'll help the team make sound architectural decisions about how sensitive information is stored, processed and accessed, balancing security requirements with product and engineering goals. The team operates at the intersection of application security, cloud security, data protection and AI security. You'll help shape how 9fin approaches challenges such as tenant isolation, access control, confidential data handling and the secure use of AI systems. While embedded within product engineering, you'll remain closely connected to our Platform Engineering and Information Security teams, helping drive a consistent approach to security across 9fin. This is a hands on engineering role. You won't be building product features full time, but you should be comfortable reading, reviewing and writing production code when security requirements demand it. What you'll work on Embed within a product engineering team and help shape the security of our products from design through to production. Influence architecture, design and implementation decisions to ensure security is considered from the outset. Partner with Product Engineering, Platform Engineering and Information Security teams to identify risks, define appropriate controls, and build secure by default systems. Contribute code, reviews and technical guidance where security expertise is required. Act as a security advocate and trusted advisor within the team, helping balance risk, usability and delivery. What we're looking for Significant experience securing modern software systems and applications. Strong understanding of secure software architecture, threat modelling and security engineering practices. Deep familiarity with cloud native architectures and security controls, particularly within AWS. Experience designing systems that handle sensitive, confidential or regulated data. Comfortable reading, reviewing and writing production code, ideally with experience in Python or similar backend technologies. Familiar with the security considerations of modern data stores such as PostgreSQL. Pragmatic judgement and the ability to balance security, product and engineering needs. Ability to influence engineers and stakeholders across multiple teams without relying on formal authority. Familiarisation with SOC2 and ISO 42001 is a bonus. What success looks like Security considerations are embedded into product design discussions rather than introduced late in the delivery process. Teams can move quickly because secure patterns, architectural guidance and security controls are well understood. Risks are identified and addressed before they become incidents. Security is seen as an enabler of product delivery rather than a gatekeeper. Why this role matters Security cannot be something that happens after software has been designed. As 9fin continues to expand its platform and handle increasingly sensitive customer information, we need security expertise embedded where decisions are being made. This role will help ensure that security is considered from the earliest stages of product development, allowing us to move quickly while maintaining the trust our customers place in us. Benefits We're a scaling start up and we enjoy sharing our success, when the company succeeds, we always reinvest that in our people. We also offer huge amounts of responsibility, an abundance of opportunity for growth and a platform to truly excel. Financial & Insurance 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 Time off 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 Training & Culture Professional learning and development budget Quarterly team socials Summer and Winter company social events 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.
9fin Limited, a leader in AI for global debt markets, is seeking a Senior AI Engineer. In this role, you will design AI applications to convert complex financial and legal documents into structured, reliable data, while also leading model development and collaborating across teams. Ideal candidates have deep expertise with legal documents, solid experience in extracting structured data, and proficiency in AI technologies. Enjoy a competitive salary and flexible hybrid working arrangement in a rapidly growing startup.
06/07/2026
Full time
9fin Limited, a leader in AI for global debt markets, is seeking a Senior AI Engineer. In this role, you will design AI applications to convert complex financial and legal documents into structured, reliable data, while also leading model development and collaborating across teams. Ideal candidates have deep expertise with legal documents, solid experience in extracting structured data, and proficiency in AI technologies. Enjoy a competitive salary and flexible hybrid working arrangement in a rapidly growing startup.
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. The Opportunity The Data Science team is growing at 9fin! We are doing world-class work with groundbreaking technologies to build data-driven products using machine learning, computer vision, natural language processing, speech and audio, and knowledge/data mining. We are looking for a Senior AI Engineer to accelerate our application of AI across teams and products. Come and join us, you will get to build large-scale AI powered systems, learn and apply the latest techniques, and work alongside other great researchers and engineers! Every day is different, but here's an example of the kind of things you'll work on: 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. What Makes This Role Different This role is focused on converting complex financial and legal documents into structured, reliable data. While experience with chatbots, retrieval systems, and general-purpose AI applications is valuable, the core challenge is building systems that can accurately understand legal documentation and extract the information that powers financial analysis and workflow automation. About You This role will be a great fit if you: Legal Document Intelligence: Deep experience working with complex legal and financial documents, including bond offering memoranda, credit agreements, indentures, court filings, and related transaction documentation. Information Extraction: Expertise in extracting structured data from long, complex documents, including financial terms, covenant provisions, definitions, parties, dates, thresholds, baskets, ratios, and transaction mechanics. Document Understanding & NLP: Strong understanding of document structure, section hierarchy, cross-references, defined terms, tables, exhibits, and other patterns common in legal and financial documentation. LLMs for Structured Extraction: Experience applying LLMs to high-precision extraction tasks, including schema-driven extraction, citation grounding, validation, and confidence scoring. Data Quality & Validation Systems: Ability to design review, verification, and reconciliation workflows that ensure extracted data is accurate, consistent, and auditable. Training Data & Annotation: Experience building labelled datasets, annotation frameworks, synthetic data generation, and evaluation sets for document extraction tasks. Retrieval & Context Engineering: Strong understanding of chunking, document segmentation, retrieval, and context construction for long-document reasoning and extraction workflows. Financial & Legal Domain Knowledge: Familiarity with leveraged finance, debt capital markets, credit agreements, covenant packages, bond documentation, restructuring processes, and related legal concepts. Production ML Engineering: Ability to build and operate extraction pipelines, evaluation systems, model-serving infrastructure, and monitoring for production AI workflows. Strong proficiency in Python for production ready delivery. Experience working in the full model lifecycle (including experimentation, training, testing, monitoring, and deployment). We are data centric and love our evals! 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. Benefits We're a scaling start up, and we enjoy sharing our success, when the company succeeds, we always reinvest that in our people. We also offer huge amounts of responsibility, an abundance of opportunity for growth and a platform to truly excel. Financial & Insurance Competitive Salary (our salary bands are benchmarked at the top end of the market) Equity 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 Time off 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 Training & Culture 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 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.
06/07/2026
Full time
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. The Opportunity The Data Science team is growing at 9fin! We are doing world-class work with groundbreaking technologies to build data-driven products using machine learning, computer vision, natural language processing, speech and audio, and knowledge/data mining. We are looking for a Senior AI Engineer to accelerate our application of AI across teams and products. Come and join us, you will get to build large-scale AI powered systems, learn and apply the latest techniques, and work alongside other great researchers and engineers! Every day is different, but here's an example of the kind of things you'll work on: 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. What Makes This Role Different This role is focused on converting complex financial and legal documents into structured, reliable data. While experience with chatbots, retrieval systems, and general-purpose AI applications is valuable, the core challenge is building systems that can accurately understand legal documentation and extract the information that powers financial analysis and workflow automation. About You This role will be a great fit if you: Legal Document Intelligence: Deep experience working with complex legal and financial documents, including bond offering memoranda, credit agreements, indentures, court filings, and related transaction documentation. Information Extraction: Expertise in extracting structured data from long, complex documents, including financial terms, covenant provisions, definitions, parties, dates, thresholds, baskets, ratios, and transaction mechanics. Document Understanding & NLP: Strong understanding of document structure, section hierarchy, cross-references, defined terms, tables, exhibits, and other patterns common in legal and financial documentation. LLMs for Structured Extraction: Experience applying LLMs to high-precision extraction tasks, including schema-driven extraction, citation grounding, validation, and confidence scoring. Data Quality & Validation Systems: Ability to design review, verification, and reconciliation workflows that ensure extracted data is accurate, consistent, and auditable. Training Data & Annotation: Experience building labelled datasets, annotation frameworks, synthetic data generation, and evaluation sets for document extraction tasks. Retrieval & Context Engineering: Strong understanding of chunking, document segmentation, retrieval, and context construction for long-document reasoning and extraction workflows. Financial & Legal Domain Knowledge: Familiarity with leveraged finance, debt capital markets, credit agreements, covenant packages, bond documentation, restructuring processes, and related legal concepts. Production ML Engineering: Ability to build and operate extraction pipelines, evaluation systems, model-serving infrastructure, and monitoring for production AI workflows. Strong proficiency in Python for production ready delivery. Experience working in the full model lifecycle (including experimentation, training, testing, monitoring, and deployment). We are data centric and love our evals! 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. Benefits We're a scaling start up, and we enjoy sharing our success, when the company succeeds, we always reinvest that in our people. We also offer huge amounts of responsibility, an abundance of opportunity for growth and a platform to truly excel. Financial & Insurance Competitive Salary (our salary bands are benchmarked at the top end of the market) Equity 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 Time off 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 Training & Culture 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 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.
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. The Opportunity The Data Science team is growing at 9fin! We are doing world class work with groundbreaking technologies to build data driven products using machine learning, computer vision, natural language processing, speech and audio, and knowledge/data mining. We are looking for a Senior AI Engineer to accelerate our application of AI across teams and products. Come and join us, you will get to build large scale AI powered systems, learn and apply the latest techniques, and work alongside other great researchers and engineers! Every day is different, but here's an example of the kind of things you'll work on: 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. What Makes This Role Different This role is focused on building systems of persistent knowledge: representing entities, relationships, and events that evolve over time. While experience with LLMs, retrieval systems, and recommendation engines is valuable, the primary challenge is creating and maintaining the knowledge graph that powers intelligence, discovery, and workflow automation across the platform. About You Knowledge Graph Design & Ontology Modelling: Expertise in modelling complex domains as interconnected graphs, covering companies, sponsors, lenders, law firms, financial instruments, transactions, documents, events, and their relationships. Entity Resolution & Canonical Data Modelling: Strong experience with identity resolution, record linkage, alias handling, and entity disambiguation across fragmented and noisy financial datasets. Relationship Extraction & Knowledge Acquisition: Proven ability to extract structured entities, events, and relationships from unstructured sources such as filings, legal documents, news, transcripts, and research content. Graph Search & Retrieval Systems: Experience building graph native retrieval and exploration capabilities that surface relationships, ownership structures, transaction histories, and connected entities. Similarity, Peer & Precedent Discovery: Ability to design systems that identify comparable companies, relevant precedents, analogous situations, and related transactions using both graph structure and content signals. Graph Machine Learning: Familiarity with graph embeddings, node similarity, clustering, community detection, link prediction, and relationship scoring techniques. Production Data & Platform Engineering: Experience building and operating entity stores, graph pipelines, knowledge infrastructure, and low latency serving systems at production scale. Strong proficiency in Python for production ready delivery. Experience working in the full model lifecycle (including experimentation, training, testing, monitoring, and deployment). We are data centric and love our evals! 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. Benefits We're a scaling start up, and we enjoy sharing our success, when the company succeeds, we always reinvest that in our people. We also offer huge amounts of responsibility, an abundance of opportunity for growth and a platform to truly excel. Financial & Insurance Competitive Salary (our salary bands are benchmarked at the top end of the market) Equity 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 Time off 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 Training & Culture 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 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.
04/07/2026
Full time
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. The Opportunity The Data Science team is growing at 9fin! We are doing world class work with groundbreaking technologies to build data driven products using machine learning, computer vision, natural language processing, speech and audio, and knowledge/data mining. We are looking for a Senior AI Engineer to accelerate our application of AI across teams and products. Come and join us, you will get to build large scale AI powered systems, learn and apply the latest techniques, and work alongside other great researchers and engineers! Every day is different, but here's an example of the kind of things you'll work on: 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. What Makes This Role Different This role is focused on building systems of persistent knowledge: representing entities, relationships, and events that evolve over time. While experience with LLMs, retrieval systems, and recommendation engines is valuable, the primary challenge is creating and maintaining the knowledge graph that powers intelligence, discovery, and workflow automation across the platform. About You Knowledge Graph Design & Ontology Modelling: Expertise in modelling complex domains as interconnected graphs, covering companies, sponsors, lenders, law firms, financial instruments, transactions, documents, events, and their relationships. Entity Resolution & Canonical Data Modelling: Strong experience with identity resolution, record linkage, alias handling, and entity disambiguation across fragmented and noisy financial datasets. Relationship Extraction & Knowledge Acquisition: Proven ability to extract structured entities, events, and relationships from unstructured sources such as filings, legal documents, news, transcripts, and research content. Graph Search & Retrieval Systems: Experience building graph native retrieval and exploration capabilities that surface relationships, ownership structures, transaction histories, and connected entities. Similarity, Peer & Precedent Discovery: Ability to design systems that identify comparable companies, relevant precedents, analogous situations, and related transactions using both graph structure and content signals. Graph Machine Learning: Familiarity with graph embeddings, node similarity, clustering, community detection, link prediction, and relationship scoring techniques. Production Data & Platform Engineering: Experience building and operating entity stores, graph pipelines, knowledge infrastructure, and low latency serving systems at production scale. Strong proficiency in Python for production ready delivery. Experience working in the full model lifecycle (including experimentation, training, testing, monitoring, and deployment). We are data centric and love our evals! 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. Benefits We're a scaling start up, and we enjoy sharing our success, when the company succeeds, we always reinvest that in our people. We also offer huge amounts of responsibility, an abundance of opportunity for growth and a platform to truly excel. Financial & Insurance Competitive Salary (our salary bands are benchmarked at the top end of the market) Equity 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 Time off 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 Training & Culture 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 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.
9fin Limited is looking for a Senior AI Engineer to enhance AI applications across teams. You will design generative AI solutions for complex financial workflows, ensuring a seamless decision-making process. The role focuses on building persistent knowledge systems, requiring expertise in knowledge graph design and entity resolution. Join us and contribute to innovative AI solutions while enjoying competitive benefits and a hybrid working model.
04/07/2026
Full time
9fin Limited is looking for a Senior AI Engineer to enhance AI applications across teams. You will design generative AI solutions for complex financial workflows, ensuring a seamless decision-making process. The role focuses on building persistent knowledge systems, requiring expertise in knowledge graph design and entity resolution. Join us and contribute to innovative AI solutions while enjoying competitive benefits and a hybrid working model.
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. The Opportunity The Data Science team is growing at 9fin! We are doing world class work with groundbreaking technologies to build data driven products using machine learning, computer vision, natural language processing, speech and audio, and knowledge/data mining. We are looking for a Senior AI Engineer to accelerate our application of AI across teams and products. Come and join us, you will get to build large scale AI powered systems, learn and apply the latest techniques, and work alongside other great researchers and engineers! Every day is different, but here's an example of the kind of things you'll work on: 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. What Makes This Role Different This role is focused on deciding what information each user should see, in what order, and at what moment. While experience with retrieval systems, knowledge graphs, and LLMs is valuable, the core challenge is learning from user behaviour, workflow context, and content signals to optimise discovery, prioritisation, and decision making across feeds, alerts, search, and AI experiences. About You This role will be a great fit if you: Deep experience building recommendation systems across feeds, alerts, search, and workflow products. Strong understanding of candidate generation, personalisation, ranking, and next best action systems. Learning to Rank: Expertise with pointwise, pairwise, and listwise ranking approaches, including re ranking, diversity, freshness, novelty, deduplication, and relevance optimisation. User Modelling & Behavioural ML: Experience modelling user intent, preferences, workflows, and engagement patterns. Familiarity with session based learning, sequence modelling, and balancing short term versus long term user interests. Product Analytics & Telemetry: Strong understanding of behavioural instrumentation, including impression logging, clicks, dwell time, follows, saves, alert interactions, and event design that supports robust learning systems. Experimentation & Evaluation: Experience designing and analysing A/B tests, defining success metrics, understanding selection bias, and evaluating ranking systems using both online and offline methodologies. Feature Engineering & Applied Machine Learning: Strong background in feature engineering, tabular machine learning, calibrated scoring systems, and production use of models such as gradient boosted trees, logistic regression, and related approaches. Content Aware Recommendation Systems: Experience combining embeddings, semantic similarity, collaborative signals, and content understanding to build recommendation systems that perform well in sparse and cold start environments. Graph & Entity Aware Ranking: Ability to incorporate relationships between companies, sponsors, lenders, law firms, instruments, documents, and events into ranking and recommendation decisions. Production ML Engineering: Experience building feature pipelines, online and batch inference systems, low latency ranking services, experimentation platforms, and monitoring for production machine learning systems. Strong proficiency in Python for production ready delivery. 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. Benefits We're a scaling start up, and we enjoy sharing our success, when the company succeeds, we always reinvest that in our people. We also offer huge amounts of responsibility, an abundance of opportunity for growth and a platform to truly excel. Financial & Insurance Competitive Salary (our salary bands are benchmarked at the top end of the market) Equity 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 Time off 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 Training & Culture 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 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.
04/07/2026
Full time
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. The Opportunity The Data Science team is growing at 9fin! We are doing world class work with groundbreaking technologies to build data driven products using machine learning, computer vision, natural language processing, speech and audio, and knowledge/data mining. We are looking for a Senior AI Engineer to accelerate our application of AI across teams and products. Come and join us, you will get to build large scale AI powered systems, learn and apply the latest techniques, and work alongside other great researchers and engineers! Every day is different, but here's an example of the kind of things you'll work on: 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. What Makes This Role Different This role is focused on deciding what information each user should see, in what order, and at what moment. While experience with retrieval systems, knowledge graphs, and LLMs is valuable, the core challenge is learning from user behaviour, workflow context, and content signals to optimise discovery, prioritisation, and decision making across feeds, alerts, search, and AI experiences. About You This role will be a great fit if you: Deep experience building recommendation systems across feeds, alerts, search, and workflow products. Strong understanding of candidate generation, personalisation, ranking, and next best action systems. Learning to Rank: Expertise with pointwise, pairwise, and listwise ranking approaches, including re ranking, diversity, freshness, novelty, deduplication, and relevance optimisation. User Modelling & Behavioural ML: Experience modelling user intent, preferences, workflows, and engagement patterns. Familiarity with session based learning, sequence modelling, and balancing short term versus long term user interests. Product Analytics & Telemetry: Strong understanding of behavioural instrumentation, including impression logging, clicks, dwell time, follows, saves, alert interactions, and event design that supports robust learning systems. Experimentation & Evaluation: Experience designing and analysing A/B tests, defining success metrics, understanding selection bias, and evaluating ranking systems using both online and offline methodologies. Feature Engineering & Applied Machine Learning: Strong background in feature engineering, tabular machine learning, calibrated scoring systems, and production use of models such as gradient boosted trees, logistic regression, and related approaches. Content Aware Recommendation Systems: Experience combining embeddings, semantic similarity, collaborative signals, and content understanding to build recommendation systems that perform well in sparse and cold start environments. Graph & Entity Aware Ranking: Ability to incorporate relationships between companies, sponsors, lenders, law firms, instruments, documents, and events into ranking and recommendation decisions. Production ML Engineering: Experience building feature pipelines, online and batch inference systems, low latency ranking services, experimentation platforms, and monitoring for production machine learning systems. Strong proficiency in Python for production ready delivery. 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. Benefits We're a scaling start up, and we enjoy sharing our success, when the company succeeds, we always reinvest that in our people. We also offer huge amounts of responsibility, an abundance of opportunity for growth and a platform to truly excel. Financial & Insurance Competitive Salary (our salary bands are benchmarked at the top end of the market) Equity 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 Time off 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 Training & Culture 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 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.
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. We're looking for a Senior Engineer II to take broad technical ownership of the backend systems powering 9fin's platform. You will sit between our Senior and Staff engineering tracks. You will own meaningful systems end to end, lead multi sprint initiatives across a product domain, and shape how we build for scale. You will operate as a strong senior IC, leading design, raising the engineering bar through review and mentorship, and partnering closely with Product, Data, and our financial and legal domain experts. This role suits someone who has already grown beyond a typical senior remit. You enjoy diving into distributed systems problems, and you have firsthand experience scaling services under real production load. What you'll do Own the design and delivery of significant backend systems and services across a product domain, from data modelling through API surface to operational concerns. Lead complex, multi sprint engineering initiatives that span several engineers and stakeholders. Drive scaling work: identify bottlenecks, propose architectural changes, and execute migrations safely in production. Make pragmatic decisions about distributed systems concerns including consistency, idempotency, partitioning, retries, and observability. Contribute to platform level discussions on service boundaries, data ownership, and how systems evolve as we enter new markets. Run thorough code reviews, mentor senior and mid level engineers, and help define what good looks like in the codebase. Partner with cross functional teammates from Product, Data Engineering, and our editorial and legal domain experts to scope work and ship the right thing. Improve developer experience by investing in tooling, testing, observability, and the paved road so the whole team moves faster. Ramp on legacy areas of the system, find the highest leverage cleanup, and execute it without stalling delivery. Use AI assisted engineering to move faster on understanding, prototyping, and shipping code. Our backend stack Python is the dominant backend language. Flask and FastAPI, with strong typing and Pydantic powering automated documentation and API definitions. PostgreSQL at the heart of most services. AWS for cloud hosted services, with heavy use of AWS Lambda serverless. Docker on AWS ECS for uniform development and deployment. Internal developer platform with a standardised paved road from code to production, plus managed preview environments and feature flags. What we're looking for You will be a great fit if you have: Several years operating as a senior backend engineer, with a clear track record of leading technical initiatives end to end across a product domain. Experience contributing to the design of distributed systems in production, including the operational realities such as failure modes, observability, data consistency, and graceful degradation. A track record of solving scaling problems, whether database scaling, throughput, latency, or cost. You can talk through a real example end to end: how you measured the problem, what you changed, and what the outcome was. Experience designing and operating event driven architectures in production, including message queues or streaming systems, with a clear understanding of delivery guarantees, idempotency, and failure handling. Strong design skills around APIs, service boundaries, and the flow of data from persistent storage through to clients. Strong Python experience, including modern web frameworks (we use FastAPI with Pydantic and strong typing). Deep working knowledge of SQL and relational data modelling. Excellent collaboration and communication, including the ability to explain complex systems and tradeoffs to non technical stakeholders. A strong product and customer mindset, with the judgement to balance shipping value against long term system health. A high bar for code quality, testability, and operational maturity, and the habit of raising that bar through review and mentorship. Nice to have: Experience working on complex permissioning or access control systems (multi tenant, role or attribute based, fine grained, audit driven, or similar). Experience with end to end document management systems, especially solving problems of scale and applying strong security practices such as encryption, access control, data lineage, and retention. Experience modernising legacy systems and migrating workloads with minimal downtime. Experience with a data pipeline orchestrator. Experience working at AI startups, including integrating with and building on top of AI and LLM based solutions. Company Benefits We're a scaling start up and we enjoy sharing our success, when the company succeeds, we always reinvest that in our people. We also offer huge amounts of responsibility, an abundance of opportunity for growth and a platform to truly excel. Financial & Insurance 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 Time off 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 Training & Culture Professional learning and development budget Quarterly team socials Summer and Winter company social events 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.
03/07/2026
Full time
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. We're looking for a Senior Engineer II to take broad technical ownership of the backend systems powering 9fin's platform. You will sit between our Senior and Staff engineering tracks. You will own meaningful systems end to end, lead multi sprint initiatives across a product domain, and shape how we build for scale. You will operate as a strong senior IC, leading design, raising the engineering bar through review and mentorship, and partnering closely with Product, Data, and our financial and legal domain experts. This role suits someone who has already grown beyond a typical senior remit. You enjoy diving into distributed systems problems, and you have firsthand experience scaling services under real production load. What you'll do Own the design and delivery of significant backend systems and services across a product domain, from data modelling through API surface to operational concerns. Lead complex, multi sprint engineering initiatives that span several engineers and stakeholders. Drive scaling work: identify bottlenecks, propose architectural changes, and execute migrations safely in production. Make pragmatic decisions about distributed systems concerns including consistency, idempotency, partitioning, retries, and observability. Contribute to platform level discussions on service boundaries, data ownership, and how systems evolve as we enter new markets. Run thorough code reviews, mentor senior and mid level engineers, and help define what good looks like in the codebase. Partner with cross functional teammates from Product, Data Engineering, and our editorial and legal domain experts to scope work and ship the right thing. Improve developer experience by investing in tooling, testing, observability, and the paved road so the whole team moves faster. Ramp on legacy areas of the system, find the highest leverage cleanup, and execute it without stalling delivery. Use AI assisted engineering to move faster on understanding, prototyping, and shipping code. Our backend stack Python is the dominant backend language. Flask and FastAPI, with strong typing and Pydantic powering automated documentation and API definitions. PostgreSQL at the heart of most services. AWS for cloud hosted services, with heavy use of AWS Lambda serverless. Docker on AWS ECS for uniform development and deployment. Internal developer platform with a standardised paved road from code to production, plus managed preview environments and feature flags. What we're looking for You will be a great fit if you have: Several years operating as a senior backend engineer, with a clear track record of leading technical initiatives end to end across a product domain. Experience contributing to the design of distributed systems in production, including the operational realities such as failure modes, observability, data consistency, and graceful degradation. A track record of solving scaling problems, whether database scaling, throughput, latency, or cost. You can talk through a real example end to end: how you measured the problem, what you changed, and what the outcome was. Experience designing and operating event driven architectures in production, including message queues or streaming systems, with a clear understanding of delivery guarantees, idempotency, and failure handling. Strong design skills around APIs, service boundaries, and the flow of data from persistent storage through to clients. Strong Python experience, including modern web frameworks (we use FastAPI with Pydantic and strong typing). Deep working knowledge of SQL and relational data modelling. Excellent collaboration and communication, including the ability to explain complex systems and tradeoffs to non technical stakeholders. A strong product and customer mindset, with the judgement to balance shipping value against long term system health. A high bar for code quality, testability, and operational maturity, and the habit of raising that bar through review and mentorship. Nice to have: Experience working on complex permissioning or access control systems (multi tenant, role or attribute based, fine grained, audit driven, or similar). Experience with end to end document management systems, especially solving problems of scale and applying strong security practices such as encryption, access control, data lineage, and retention. Experience modernising legacy systems and migrating workloads with minimal downtime. Experience with a data pipeline orchestrator. Experience working at AI startups, including integrating with and building on top of AI and LLM based solutions. Company Benefits We're a scaling start up and we enjoy sharing our success, when the company succeeds, we always reinvest that in our people. We also offer huge amounts of responsibility, an abundance of opportunity for growth and a platform to truly excel. Financial & Insurance 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 Time off 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 Training & Culture Professional learning and development budget Quarterly team socials Summer and Winter company social events 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.
9fin Limited is seeking a Senior Engineer II to take technical ownership of the backend systems powering their platform. You will lead design and delivery of backend services, work closely with cross-functional teams, and drive engineering initiatives to enhance scalability. The ideal candidate will have substantial experience in distributed systems and scaling challenges, with a strong command of Python and cloud services. This position offers a hybrid working model and competitive compensation.
03/07/2026
Full time
9fin Limited is seeking a Senior Engineer II to take technical ownership of the backend systems powering their platform. You will lead design and delivery of backend services, work closely with cross-functional teams, and drive engineering initiatives to enhance scalability. The ideal candidate will have substantial experience in distributed systems and scaling challenges, with a strong command of Python and cloud services. This position offers a hybrid working model and competitive compensation.