What you will be doing:

We are looking for a dynamic and experienced Engineering Manager to join our innovative Tech Team. You will collaborate across functions, engaging in both the design and implementation of high-performance systems crucial for detecting financial risks. 

As an Engineering Manager, you will: 

• Take ownership for your team, being responsible for current team members growth and development, plus hiring and onboarding new team members 
• Foster a positive and thriving work environment that promotes innovation.
• Mentor and coach your team, maintaining a learning mindset and openness to new ideas and technologies.
• Set the direction for your team and take accountability for tech decisions. 
• Work alongside with your product counterpart, being accountable for delivery against the roadmap.
• Collaborate, both within your team and across the tribe to ensure your team’s implementation meets industry standards.
• Report to the Director of Engineering, and will work with the other Engineering Managers in the tribe.  Working as a group, you will own cross-team initiatives and improvements.

Our Tech Stack:

• Our technology stack is designed to run on public cloud architectures, notably AWS and GCP
• Development is organised around Kotlin and Python for our backend languages and TypeScript/ES6+React for our frontend stack
• We make substantial use of relational database technologies, notably Postgres, Yugabyte
• We also use an event-sourced model powered by Kafka for our communication bus and gRPC for our intra-service communication protocol
• We use modern observability solutions from Grafana Cloud and deploy our code using ArgoCD

We have a strong emphasis on engineering excellence and strive to ship the best possible code and the best possible solutions to our customers

About you

As an Engineering Manager, you will have:

• Proven experience in managing and growing high-performing engineering teams.
• Strong knowledge of engineering best practices, including architecture and testing.
• Past or current experience in a JVM-based language or Python.
• Experience with data-intensive applications and relational databases (e.g., Postgres, MySQL, SQL Server, Oracle).
• Expertise in designing and building microservices.
• Excellent communication and writing skills, including the ability to write clear technical documentation.
• Experience collaborating with product and commercial teams.

Nice to haves:

• Experience with AWS and Docker/Kubernetes.
• Background in startup or scale-up environments

If you are passionate about leading teams, driving technical excellence, and working in a collaborative environment, we would love to hear from you! Join us in creating scalable and efficient systems that make a difference in financial risk detection.

Benefits:

• Equity as we want you to have a part of what we are building 
• Unlimited Time Off Policy- A work-life balance and focus on our well-being are critical to keeping us performing at our best 
• We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships
• You will also get a new starter budget to kit out your home office 
• Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve 
• Annual learning budget (prorated based on start date) to drive your performance and career development 

The Role

We are hiring a Product Manager - Regulatory Reporting to work within our Enabling Services group, which is responsible for the shared application capabilities that serve multiple products across ComplyAdvantage's platform.

Enabling Services are application functions that are not standalone products but are essential to how those products work: case management, regulatory reporting and transaction processing services. These capabilities are used across multiple product areas and have a direct impact on the end-user experience. The work sits at the intersection of multiple product teams, which makes it both commercially important and organisationally complex.

The Enabling Services group sits within the Platform & Enabling Services tribe. You will work within a dedicated squad alongside an engineering manager and a team of engineers. The Product Manager and Engineering Manager work as peers: you own the product context, the EM owns the technical context. You operate within a framework set by the Product Director, who provides the strategic guidance and prioritisation decisions that shape your work.

We work in six-week blocks with a structured document flow from Plan of Record to PRD to product requirements to implementation, with quality gates at each stage. If you are looking for a role where the planning process is clear and the expectations are explicit, this is a good environment to develop in.

What You Will Do

Provide research, analysis and requirements within your squad's domain. You are responsible for requirements specification, stakeholder communication and documentation within a framework set by the Product Director. Your work ensures the squad has clear direction on what to build and for whom.

Write clear product requirements. Working from PRDs, you will draft product requirements and refine them jointly with your EM. You sign off on product accuracy; the EM signs off on technical completeness. You need enough understanding of application architecture and service design to write requirements that engineers can build from and to have useful conversations about feasibility.

Manage competing inputs from multiple product teams. Enabling Services capabilities serve multiple product areas, each with their own priorities. You will handle incoming requirements at the working level, assessing them, clarifying ambiguities with the requesting teams, and flagging conflicts to the Product Director for resolution. Understanding why different teams want different things, and being able to articulate the trade-offs clearly, is an important part of this role.

Understand the end-user impact. Unlike pure platform work, Enabling Services directly affects what customers see and use. Case management workflows, reporting interfaces, transaction processing: these are visible to compliance teams. You need to think about user outcomes, not just technical requirements.

Liaise with engineering during execution. Ensure your EM has enough lead time and context to make sound technical decisions. Surface changes and risks early. Maintain communication about what is coming, what is blocked and what has changed.

Use AI in your own work. We expect Product Managers to use AI-assisted workflows for research synthesis, requirements drafting and documentation. This is how we work, not something we aspire to.

What We Are Looking For

Essential:

• 3+ years in product management, with exposure to shared services, horizontal capabilities, or application products used by multiple teams or customer segments
• Enough understanding of application architecture, APIs, data schemas and service design to write requirements that engineering can work from and to engage in technical conversations productively.
• Have a platform mindset to develop core components once to scale for new use cases and volume, and avoid spending resources to build replicating capabilities
• Ability to research, design, and build within strict constraints and requirements set by regulatory organisations
• Strong analytical skills: comfortable with data, can synthesise requirements from multiple sources
• Comfortable working within a structured product organisation where strategic direction is set above you. You are not expected to set a strategy; you are expected to execute well within a clear framework.
• Excellent written communication skills, with an obsession with precision and detail: produces clear, accurate requirements and documentation
• Presentation skills: the ability to communicate your product area, its challenges and capabilities to both technical and non-technical audiences
• Familiarity with common product management tools such as Jira, Linear, Confluence, Notion, Miro or equivalent
• Demonstrable AI adoption in your own working practice

Preferred:

• Experience with building automated complex workflows, particularly integrating AI at the core.
• Experience with case management, workflow, regulatory reporting, or search products
• Experience in financial services, compliance, or RegTech
• Experience working on products that serve multiple internal or external customer segments simultaneously
• Interest in developing toward a senior product management career in platform and application services

What Success Looks Like

At 60 days: You understand your squad's domain, the Enabling Services group's priorities, how requirements flow from multiple product areas, and how the operating model works. You have built relationships with your EM, the Product Director, and key stakeholders. You can articulate the priorities in your area and begin to contribute to requirements.

At 4 months: You are writing clear product requirements that pass quality gates. Your EM trusts your product judgment at the working level. You are handling incoming requirements from multiple product teams effectively, flagging conflicts to the PD with a clear description of the trade-offs. Stakeholders experience you as responsive and reliable.

At 8 months: You are a reliable and effective member of the Enabling Services group, producing consistent quality in requirements, documentation, and stakeholder communication. Your squad values your contribution. You have a clear understanding of the broader Platform & Enabling Services strategy and are operating at a level that demonstrates readiness for greater autonomy and scope.

What’s in it for you?

• Equity as we want you to have a part of what we are building. 
• Unlimited Time Off Policy. A work-life balance and focus on our well-being are critical to keeping us performing at our best. 
• We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships.
• ​​Comprehensive Medical Insurance. Your health is our priority; we’ve got you covered.
• You will also get a new starter budget to kit out your home office. 
• Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve. 
• Annual learning budget (prorated based on start date) to drive your performance and career development. 
• We provide everyone with the latest modern laptops and tech stacks to ensure you’re never slowed down by your tools.

ComplyAdvantage Technology

At Comply, we are building cutting-edge solutions that help prevent money flowing to and from bad actors to create a safer world. Your work will allow our customers to find out who is associated with crimes, financial and political risks, what that association is, and when it occurred, and it will dynamically update their state as new information emerges across a huge range of sources.

What you will be doing

As a Machine Learning Engineer, you will: 

• Build/train and productionize machine learning models for your squad
• Build capabilities to monitor model performance and feature drift
• Where appropriate re-use public models and techniques such as prompt engineering and RAG to reduce time to value
• Collaborate with other software engineers in a cross functional team to design and implement intelligent services
• Design software with scale, transparency and ease of operation in mind, writing maintainable, performant and well-tested code in Python
• Integrate ML models into new and existing data pipelines to drive positive impacts for CA’s customers, including feature engineering as well as building APIs and consuming and producing event streams as inputs and outputs of models

Our Tech Stack:

• Our technology stack is designed to run on public cloud architectures, notably AWS and GCP
• We use Python and Kotlin in the backend and TypeScript, ES6 and React in the frontend
• We make substantial use of  modern database technologies (eg. Yugabyte) as well as Spark and cloud based object stores for big data processing
• We also use an event-sourced model powered by Kafka for our communication bus and gRPC for our intra-service communication protocol
• Our data and AI teams use a wide range of machine learning libraries, large scale hybrid columnar data stores such as Databricks, Spark for stream and big data processing in combination with Kafka, as well as some graph databases
• We use modern observability solutions (Grafana) and deploy our code using ArgoCD

We have a strong emphasis on engineering excellence and strive to ship the best possible code and the best possible solutions to our customers.

About you:

• Experience maintaining and scaling machine learning-powered applications in production environments.
• Experience building scalable backend applications (preferably with Python).
• A track record of working in multi-disciplinary teams alongside Data Scientists, ML Engineers, and Product Managers.
• Hands-on experience with cloud platforms (AWS, Azure, or GCP) or with containerized infrastructure (e.g., Kubernetes, Docker, ArgoCD, Argo Workflows).
• Strong communication skills and a collaborative mindset, with the ability to contribute to system design discussions and mentor more junior engineers.

Nice to have:

• Experience working with PySpark or other distributed data processing frameworks.
• Background in building data-intensive applications or distributed systems using map-reduce style architectures.
• Familiarity with event-driven or microservice architectures.

What’s in it for you? 

• Equity as we want you to have a part of what we are building 
• Private medical insurance designed to keep you ensuring peace of mind while you excel in your career
• Unlimited Time Off Policy- A work-life balance and focus on our well-being are critical to keeping us performing at our best 
• We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships
• You will also get a new starter budget to kit out your home office 
• Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve 
• Annual learning budget (prorated based on start date) to drive your performance and career development

What you will be doing:

We are building cutting edge solutions that help reveal the truth for a safer world and we are looking for Machine Learning Engineers to help us do this! You will engineer machine learning models, tooling and data pipelines for our linked data ecosystem and work on models to determine whether the people and companies our clients are screening and monitoring are linked to financial crime, and to improve recall while reducing noise in the results. 

As a Junior Machine Learning Engineer, you will:

• Build/train and productionize machine learning models for your squad
• Build capabilities to monitor model performance and feature drift
• Where appropriate re-use public models to reduce time to value
• Collaborate with other software engineers in a cross functional team to design and implement intelligent services
• Be mentored by senior engineers to design solutions with scale, transparency and ease of operation in mind, and to write maintainable, performant and well-tested code in Python
• Work with mid and senior engineers to integrate ML models into new and existing data pipelines to drive positive impact for CA’s customers, including feature engineering as well as building APIs and consuming and producing event streams as inputs and outputs of models

Our Tech Stack:

• Our technology stack is designed to run on public cloud architectures, notably AWS and GCP. 
• Development is organized around Kotlin and Python for our backend languages and TypeScript/ES6+React for our frontend stack. 
• We make substantial use of relational database technologies, notably Postgres, and also use of  a distributed SQL database as Yugabyte
• We also use an event-sourced model powered by Kafka for our communication bus and gRPC for our intra-service communication protocol. 
• For our data and AI teams, experience in machine learning development and very large-scale columnar data stores (e.g. Apache HBase, Databricks) is key, as well as experience with large-scale data streaming technologies such as Apache Spark, graph databases (e.g. Neo4j, AWS Neptune, TigerGraph)
• We use modern observability solutions built on Grafana Cloud, and deploy our code using ArgoCD

We have a strong emphasis on engineering excellence and strive to ship the best possible code and the best possible solutions to our customers.

About you:

As a Junior Machine Learning Engineer, you will have:

• Demonstrable python software development skills
• A degree with some mathematical content and formal machine learning education either subsequent to your degree (e.g. as a masters) or as a core part of your degree
• Demonstrable experience of building ML models using a range of machine learning algorithms and techniques either from previous jobs or personal and academic projects 

Education: 

• BSc/BA degree in computer science, engineering or related discipline OR relevant years of experience in required skills.

What’s in it for you? 

• Equity as we want you to have a part of what we are building 
• Private medical insurance designed to keep you ensuring peace of mind while you excel in your career
• Unlimited Time Off Policy - A work-life balance and focus on our well-being are critical to keeping us performing at our best 
• We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships
• You will also get a new starter budget to kit out your home office 
• Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve 
• Annual learning budget (prorated based on start date) to drive your performance and career development 

We are looking for driven, talented Junior Software Engineers to help us build our SaaS-based anti-money laundering solutions, which help organizations fight financial crime! We are building solutions that help reveal the truth for a safer world and stop money from ending up in the hands of criminals. 

As a Junior Software Engineer, you will:

• Be working alongside other software engineers within the Team.
• Write new features that enable our platform to analyse information about individuals, apply ML models to categorize their actions, and merge all this with existing data we hold. Your work will allow our customers to find out who has done something bad, what they did, and when.
• Help us deliver new features and maintain our platform as we apply new technologies and scale our systems.  
• Learn quickly and be able to adopt the technologies we use to develop code and deploy it to Kubernetes.  
• Contribute to sprint planning and be able to demo the features you’ve worked on to stakeholders.
• Be responsible for the quality of your code and will be expected to write tests and take ownership of systems that ensure the quality of our code.
• Adopt best practices (and be able to suggest improvements to them), to get code from initial requirements to deployed services in production.

Our Tech Stack:

• Our technology stack is designed to run on public cloud architectures, notably AWS and GCP. 
• Development is organized around Kotlin for our backend services. 
• We make substantial use of relational database technologies, notably Postgres, and also use of  a distributed SQL database as Yugabyte.
• We also use an event-sourced model powered by Kafka for our communication bus and gRPC for our intra-service communication protocol.
• We use modern observability solutions built on Grafana Cloud, and deploy our code using ArgoCD.

We have a strong emphasis on engineering excellence and strive to ship the best possible code and the best possible solutions to our customers.

About you:

As a Junior Software Engineer, you will have:

• Motivated in writing production-grade applications and in writing unit tests and understand the importance of testing
• Interested in working with large scalable systems 
• It would be nice if you had exposure working in a multi-disciplinary team (ML Engineers and Product)
• Fascinated by working in cloud (AWS/Azure/GCP) or containerized infrastructure (Kubernetes/Docker/Jenkins) would be great;
• Want to explore an agile environment and understand how valuable pair programming is to Engineering practices.

Education: 

• BSc/BA degree in computer science, engineering or related discipline OR relevant years of experience in required skills.

What’s in it for you? 

• Equity as we want you to have a part of what we are building 
• Private medical insurance designed to keep you ensuring peace of mind while you excel in your career
• Unlimited Time Off Policy - A work-life balance and focus on our well-being are critical to keeping us performing at our best 
• We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships
• You will also get a new starter budget to kit out your home office 
• Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve 
• Annual learning budget (prorated based on start date) to drive your performance and career development 

What you will be doing: 

We are looking for a driven, talented Junior Software Engineer to help us build our SaaS-based anti-money laundering solutions, which empower organizations to fight Financial Crime! We are building cutting-edge solutions that help create a safer world and stop money from ending up in the hands of criminals.

This role sits within the team responsible for the Frontend Platform: the core features, delivery mechanisms, UI components and engineering tools that are used by teams across Comply Advantage to deliver customer-facing solutions.

As a Junior Frontend Software Engineer, you will:

• Help build and maintain UI components that allow compliance officers to manage customer information.
• Work alongside Backend Engineers to ensure features are integrated reliably.
• Collaborate across the frontend engineering community to further enhance the build, test and deployment processes. 
• Participate in design discussions and code reviews to learn how to build performant and maintainable applications.
• Join agile ceremonies (stand-ups, refinements, retrospectives) and contribute your perspective to team decisions.
• Use AI-assisted development tools (like Claude Code or Gemini Code Assist) under guidance to improve your productivity and code quality.

About you:

As a Junior Frontend Software Engineer, you should have:

• Demonstrated experience or projects using TypeScript and React.
• Understanding of frontend testing, with a desire to grow skills in frameworks like Vitest or Cypress.
• A strong willingness to learn, share knowledge as you grow, and adapt to diverse project needs.
• Good problem-solving skills and a sharp eye for detail when debugging or styling interfaces.
• Ability to engage in team discussions and bring fresh insights to the table.

Nice to haves

• Exposure to React Query for data fetching.
• Familiarity with modern build tools like Vite or basic CI/CD concepts in GitLab.
• Basic experience navigating Figma files to translate designs into code.
• Interest in observability tools like Grafana or Sentry to monitor application health.

What’s in it for you?

• Equity as we want you to have a part of what we are building 
• Unlimited Time Off Policy- A work-life balance and focus on our well-being are critical to keeping us performing at our best 
• We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships.
• ​​Comprehensive Medical Insurance. Your health is our priority; we’ve got you covered.
• You will also get a new starter budget to kit out your home office 
• Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve 
• Annual learning budget (prorated based on start date) to drive your performance and career development. 
• We provide everyone with the latest modern laptops and tech stacks to ensure you’re never slowed down by your tools.

The Role

We are hiring a Senior Product Manager to work within our Enabling Services group, which is responsible for the shared application capabilities that serve multiple products across ComplyAdvantage's platform.

Enabling Services are application functions that are not standalone products but are essential to how those products work: case management, regulatory reporting and transaction processing services. These capabilities are used across multiple product areas and have a direct impact on the end-user experience. The work sits at the intersection of multiple product teams, which makes it both commercially important and organisationally complex.

The Enabling Services group sits within the Platform & Enabling Services tribe. You will work within a dedicated squad alongside an engineering manager and a team of engineers. The Product Manager and Engineering Manager work as peers: you own the product context, the EM owns the technical context. You operate within a framework set by the Product Director, who provides the strategic guidance and prioritisation decisions that shape your work.

We work in six-week blocks with a structured document flow from Plan of Record to PRD to product requirements to implementation, with quality gates at each stage. If you are looking for a role where the planning process is clear and the expectations are explicit, this is a good environment to develop in.

What You Will Do

Provide research, analysis and requirements within your squad's domain. You are responsible for requirements specification, stakeholder communication and documentation within a framework set by the Product Director. Your work ensures the squad has clear direction on what to build and for whom.

Write clear product requirements. Working from PRDs, you will draft product requirements and refine them jointly with your EM. You sign off on product accuracy; the EM signs off on technical completeness. You need enough understanding of application architecture and service design to write requirements that engineers can build from and to have useful conversations about feasibility.

Manage competing inputs from multiple product teams. Enabling Services capabilities serve multiple product areas, each with their own priorities. You will handle incoming requirements at the working level, assessing them, clarifying ambiguities with the requesting teams, and flagging conflicts to the Product Director for resolution. Understanding why different teams want different things, and being able to articulate the trade-offs clearly, is an important part of this role.

Understand the end-user impact. Unlike pure platform work, Enabling Services directly affects what customers see and use. Case management workflows, reporting interfaces, transaction processing: these are visible to compliance teams. You need to think about user outcomes, not just technical requirements.

Liaise with engineering during execution. Ensure your EM has enough lead time and context to make sound technical decisions. Surface changes and risks early. Maintain communication about what is coming, what is blocked and what has changed.

Use AI in your own work. We expect Product Managers to use AI-assisted workflows for research synthesis, requirements drafting and documentation. This is how we work, not something we aspire to.

What We Are Looking For

Essential:

• 6+ years in product management, with exposure to shared services, horizontal capabilities, or application products used by multiple teams or customer segments
• Enough understanding of application architecture, APIs and service design to write requirements that engineering can work from and to engage in technical conversations productively
• Strong analytical skills: comfortable with data, can synthesise requirements from multiple sources
• Comfortable working within a structured product organisation where strategic direction is set above you. You are not expected to set strategy; you are expected to execute well within a clear framework
• Excellent written communication skills, with an obsession with precision and detail: produces clear, accurate requirements and documentation
• Presentation skills: the ability to communicate your product area, its challenges and capabilities to both technical and non-technical audiences
• Familiarity with common product management tools such as Jira, Linear, Confluence, Notion, Miro or equivalent
• Prioritisation and decision-making: ability to effectively prioritise and make trade-offs across multiple competing initiatives, balancing business impact, technical constraints, and stakeholder needs.
• Demonstrable AI adoption in your own working practice

Preferred:

• Experience with case management, workflow, regulatory reporting or search products
• Experience in financial services, compliance or RegTech
• Experience working on products that serve multiple internal or external customer segments simultaneously
• Interest in developing toward a senior product management career in platform and application services

What Success Looks Like

At 60 days: You understand your squad's domain, the Enabling Services group's priorities, how requirements flow from multiple product areas, and how the operating model works. You have built relationships with your EM, the Product Director and key stakeholders. You can articulate the priorities in your area and are beginning to contribute to requirements.

At 4 months: You are writing clear product requirements that pass quality gates. Your EM trusts your product judgement at the working level. You are handling incoming requirements from multiple product teams effectively, flagging conflicts to the PD with a clear description of the trade-offs. Stakeholders experience you as responsive and reliable.

At 8 months: You are a reliable and effective member of the Enabling Services group, producing consistent quality in requirements, documentation and stakeholder communication. Your squad values your contribution. You have a clear understanding of the broader Platform & Enabling Services strategy and are operating at a level that demonstrates readiness for greater autonomy and scope.

What’s in it for you?

• Equity as we want you to have a part of what we are building. 
• Unlimited Time Off Policy. A work-life balance and focus on our well-being are critical to keeping us performing at our best. 
• We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships.
• ​​Comprehensive Medical Insurance. Your health is our priority; we’ve got you covered.
• You will also get a new starter budget to kit out your home office. 
• Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve. 
• Annual learning budget (prorated based on start date) to drive your performance and career development. 
• We provide everyone with the latest modern laptops and tech stacks to ensure you’re never slowed down by your tools.

We're a leading SaaS provider revolutionising how fintech companies navigate complex regulatory landscapes. Our platform powers compliance and risk management for hundreds of innovative financial services companies, from emerging startups to established enterprises. We believe in empowering our teams to solve meaningful problems and create exceptional value for our customers.

Role Summary

As a Senior Data Scientist at ComplyAdvantage, you will lead the development and refinement of sophisticated data-driven solutions to detect and prevent financial crime globally. Your core focus is R&D and Strategic Initiatives, where you will spend 80% of your time conducting forward-looking research in ML, NLP, and Agentic AI to create measurable business value over 3-6 month horizons. In addition to driving deep-dive R&D, you will provide expert advisory support and technical leadership to Product and Engineering teams. By leading AI Enablement workstreams, you will empower these departments with the quantitative insights and frameworks necessary to scale high-impact, AI-driven features while mentoring more junior members of the tribe.

Key Responsibilities

• Lead R&D in GenAI and Agentic AI: Design and prototype high-impact, novel solutions for financial crime detection, focusing on multi-agent systems and RAG architectures built on foundational LLM frameworks.
• Drive Production Excellence: Partner with Engineering and Product leadership to architect and oversee the integration of AI components into core product features. You will define the standards for reliability, scalability, and ethical AI performance, ensuring research prototypes transition into robust, production-grade solutions.
• Establish Evaluation Frameworks: Lead the development of robust evaluation methodologies for LLM and agentic AI systems, defining industry-standard metrics for task completion, reasoning accuracy, and system reliability.
• Evaluate Model Context Protocol (MCP): Research applications to connect our AI systems with external data sources and tools, providing strategic recommendations for engineering implementation.
• Strategic Data Insights: Conduct advanced exploratory analysis across multiple data sources to uncover insights that directly influence product development decisions and agent behavior.
• Research & Innovation: Continuously research and evaluate emerging tools and best practices in data science and Agentic AI to keep ComplyAdvantage at the forefront of the field.
• Technical Leadership & Mentoring: Engage across multi-disciplinary teams to share expertise, perform code reviews, and provide career development support to junior data scientists.

Required Qualifications

• MSc or PhD in a numerate subject (e.g., Computer Science, Mathematics, Statistics, Physics) or equivalent practical experience in a data-intensive role.
• 4-7 years of professional experience in data science or machine learning, with a demonstrable impact on production systems.
• Expert-level proficiency in Python, including the core data science ecosystem such as Pandas, NumPy, and Scikit-learn.
• Deep experience with modern ML frameworks (e.g., TensorFlow, PyTorch) for advanced research and prototyping.
• Strong expertise in Agentic AI and LLMs: Advanced knowledge of agentic AI frameworks (e.g., LangChain, Pydantic AI) and experience optimising retrieval systems like RAG.
• Experience with Distributed Computing: Practical knowledge of platforms like Spark or Dask for large-scale data analysis.
• Technical Leadership: Proven track record of leading technical research projects with successful production outcomes and communicating complex concepts to diverse audiences.

Preferred Qualifications

• Experience delivering machine learning solutions and integrating into data pipelines.
• Experience with Natural Language Processing, Entity Resolution, Graph Theory, or Graph Machine Learning.
• Experience working with or evaluating multi-agent systems or complex GenAI workflows.

What Success Looks Like

• In 90 days: You have successfully onboarded, mastered our data landscape, and begun contributing to active research projects while building relationships with key stakeholders.
• In 6 months: You have delivered your first significant research project with measurable impact and established yourself as a technical leader and effective mentor.
• In 12 months: You have led multiple successful R&D initiatives that have shaped our technical roadmap and been recognized as a subject matter expert who empowers other teams.

About Data Science at ComplyAdvantage:
The Data Science tribe discovers and proves out impactful solutions that leverage our Petabyte-scale data infrastructure to neutralise global financial crime. We are responsible for research and development work that drives the "art of the possible" within our product suite. At ComplyAdvantage, we mine the internet for critical data and use it to power a dynamic knowledge graph, which uncovers hidden networks of financial bad actors. From exploring real-time stream processing with Kafka to pioneering the use of the latest LLMs, our modern technology stack allows us to innovate and build prototypes for cutting-edge agentic AI and large-scale algorithmic solutions that empower our clients.

What’s in it for you? 

• Equity as we want you to have a part of what we are building 
• Private medical insurance designed to keep you ensuring peace of mind while you excel in your career
• Unlimited Time Off Policy- A work-life balance and focus on our well-being are critical to keeping us performing at our best 
• We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships
• You will also get a new starter budget to kit out your home office 
• Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve 
• Annual learning budget (prorated based on start date) to drive your performance and career development 

Role Summary

As a Data Scientist at ComplyAdvantage, you will develop and refine data-driven solutions to detect and prevent financial crime globally. Your core focus is R&D and Strategic Initiatives, conducting forward-looking research in ML, NLP, and Agentic AI to create measurable business value. In addition to deep-dive R&D, you will provide advisory support to Product and Engineering teams. By investing in AI Enablement workstreams, you will empower these departments with the quantitative insights and frameworks necessary to scale high-impact, AI-driven features.

Key Responsibilities

• Advance R&D in GenAI and Agentic AI: Develop high-impact prototypes for financial crime detection, leveraging multi-agent systems and RAG architectures built on foundational LLM frameworks.
• Contribute to Core Solutions: Collaborate with Engineering and Product to integrate and optimise AI components and frameworks into existing and new product features, ensuring reliability, scalability, and ethical performance in production.
• Evaluate LLM-based Systems: Contribute to the development and implementation of robust evaluation methodologies for LLM and agentic AI based systems, tracking key metrics related to task completion, reasoning accuracy, tool effectiveness, and overall reliability.
• Evaluate Model Context Protocol (MCP) applications: Connect our AI systems with external data sources and tools and provide recommendations for engineering implementation
• Data Understanding: Develop a solid understanding of our existing data sources, identifying challenges and suggesting potential improvements.
• Data Analysis: Use exploratory data analysis and data mining techniques to identify actionable insights for product improvement, including patterns that can inform and refine agent behavior and prompt engineering strategies.
• Research & Innovation: Continuously research and evaluate emerging tools, technologies, and best practices in data science, especially within the rapidly evolving field of Agentic AI, to keep ComplyAdvantage at the forefront.
• Cross-Functional Collaboration: Engage effectively with multi-disciplinary teams to actively share best practices, expertise and inspire innovation to foster an AI-first culture across the organization.
• Visualization & Roadmapping: Provide clear data insights and visualizations that will act as a basis for new ideas to be integrated into our product roadmap.

Required Qualifications

• MSc or PhD in a numerate subject (e.g., Computer Science, Mathematics, Statistics, Physics) or equivalent practical experience in a data-intensive role.
• 2-4 years of professional experience in data science or a related field, with a demonstrated ability to contribute to impactful data-driven solutions.
• Proficiency in Python, including experience with core data science libraries (e.g., Pandas, NumPy, Scikit-learn).
• Hands-on experience with modern machine learning frameworks such as TensorFlow or PyTorch.
• Familiarity with the foundational concepts of agentic AI and large language models (LLMs). This can be professional or through personal research.
• Basic understanding of popular agentic AI frameworks (e.g., LangChain, Pydantic AI).
• Knowledge of general evaluation techniques for AI models and an eagerness to learn and apply methods specific to agentic systems.
• Ability to communicate complex technical concepts effectively to a variety of stakeholders.
• Strong passion for data and solving challenging real-world problems using algorithms.

Preferred Qualifications

• Prior experience contributing to the deployment and integration of machine learning models into production data pipelines.
• Exposure to Big Data platforms such as Spark.
• Experience with Natural Language Processing, Entity Resolution, Graph Theory, or Graph Machine Learning.
• Experience working with or evaluating multi-agent systems or complex AI workflows.

What Success Looks Like

• In 90 days: You have successfully onboarded, gaining a clear understanding of our data landscape and current AI frameworks. You are actively contributing to R&D experiments and have established collaborative working relationships with peers in Engineering and Product.
• In 6 months: You have delivered your first significant R&D prototype or technical evaluation. You have begun contributing to our AI Enablement workstreams, perhaps by authoring a technical blog post or internal guide that translates your research findings into actionable knowledge for the wider team.
• In 12 months: You have completed multiple R&D initiatives that have shaped our technical roadmap. You are recognized for empowering other teams through your advisory support and quantitative expertise, consistently providing the "AI-first" insights that help Engineering and Product teams scale high-impact features.

About Data Science at ComplyAdvantage:
The Data Science tribe discovers and proves out impactful solutions that leverage our Petabyte-scale data infrastructure to neutralise global financial crime. We are responsible for research and development work that drives the "art of the possible" within our product suite. At ComplyAdvantage, we mine the internet for critical data and use it to power a dynamic knowledge graph, which uncovers hidden networks of financial bad actors. From exploring real-time stream processing with Kafka to pioneering the use of the latest LLMs, our modern technology stack allows us to innovate and build prototypes for cutting-edge agentic AI and large-scale algorithmic solutions that empower our clients.

What’s in it for you? 

• Equity as we want you to have a part of what we are building 
• Private medical insurance designed to keep you ensuring peace of mind while you excel in your career
• Unlimited Time Off Policy- A work-life balance and focus on our well-being are critical to keeping us performing at our best 
• We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships
• You will also get a new starter budget to kit out your home office 
• Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve 
• Annual learning budget (prorated based on start date) to drive your performance and career development 

We are looking for a driven and experienced Site Reliability Engineering Manager to join our innovative Tech Team. You will lead and empower a team of SREs, partnering closely with Engineering, Product, and Security to ensure our platforms are resilient, scalable, and secure. You will play a key role in shaping reliability strategy, improving system performance, and embedding best practices in observability, incident management, and automation to support the delivery of high-impact solutions in the fight against financial crime.

As a Site Reliability Engineering (SRE) Manager, you will:

• Take ownership of your team, being responsible for current team members’ growth and development, plus hiring and onboarding new team members
• Create a positive environment where your team members thrive to deliver the best outcomes and innovations
• Be a role model for your team, mentoring and coaching them, whilst having a learning mindset yourself, being open to new ideas and technologies
• Within the context of our broader technology vision, set the direction for your team and take accountability for tech decisions 
• Use your specific experience working with cloud systems to input into technical decision-making
• Work with other stakeholders across engineering to ensure the systems and services your team provides meet the needs of your internal customers
• Collaborate, both within your team and across the tribe to ensure your team’s implementation meets industry standards

The role reports to the Director of Infrastructure. You’ll be managing a team of Engineers focused on the provision and support of our Stateful / Data layer technologies powering all of our services, both in development and production. The main technologies we use are YugaByte (sharded Postgres), Kafka (via Strimzi), Elasticsearch (via ECK), Redis and Spark/data warehousing on GCP and AWS using their PaaS systems. As the technology stack underpins all other engineering work, a collaborative mindset is a must.

Our tech stack:

ComplyAdvantage is fully cloud-based, with a modern kubernetes-focused tech stack. All compute workloads run in Kubernetes, with clusters in multiple regions to support the needs of our global client base. Our production services are multi-cloud by design and are currently hosted in AWS and GCP.

We make heavy use of Terraform and Helm to define our infrastructure and services, and lean heavily on GitOps paradigms - production and non-production environments are defined in git and changes to these environments (both cloud infrastructure and Kubernetes applications) are managed via git.

ArgoCD is our tool of choice for controlling our deployments, and paired with our Istio mesh, allows us for advanced deployment patterns used by our development teams such a progressive rollouts. Our observability stack consists of Grafana Cloud, along with some on-prem Mimir, amongst others. We focus on Open Telemetry for application metrics, with SLO and metric driven alerting at all levels, from Cloud infra through to application performance.

Across the wider Technology team, teams build and release containerised applications to support the wide array of activities that our teams are engaged in - from developing low latency client-facing APIs, to machine learning models and data processing pipelines.

About you:

As an Site Reliability Engineering (SRE) Manager, you will

• Have experience of managing and growing high performing engineering teams
• Have experience with Kubernetes and Terraform
• Have experience hosting microservices-based architectures
• Have experience of working with cloud native architectures (AWS and GCP are preferred)
• Have good communication and writing skills including experience writing technical documentation

Nice to haves:

• Experience of working in a start-up/ scale-up environment
• Have experience managing observability platforms, whether self-hosted or third party - eg Grafana stack, Datadog, NewRelic
• Have experience managing pipeline tools, whether self-hosted or third party - eg CircleCI, ArgoCD, Harness, etc

Benefits:

• Equity as we want you to have a part of what we are building 
• Private medical insurance designed to keep you ensuring peace of mind while you excel in your career
• Unlimited Time Off Policy- A work-life balance and focus on our well-being are critical to keeping us performing at our best 
• We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships
• You will also get a new starter budget to kit out your home office 
• Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve 
• Annual learning budget (prorated based on start date) to drive your performance and career development 

What you will be doing:

We are seeking a highly skilled Senior Site Reliability Engineer (SRE) to join our Data Infrastructure team. You will be responsible for ensuring the reliability, availability, and performance of our critical data systems running on AWS and GCP. Your expertise in cloud infrastructure, automation, and operational excellence will be crucial in supporting our Product trough our global client base.

As a Senior Site Reliability Engineer you will:

• Design, implement, and maintain highly available and reliable data infrastructure services, including SQL, NoSQL, Kafka, and Spark-based data layers. Define and monitor Service Level Objectives (SLOs) and Service Level Agreements (SLAs).
• Participate in an on-call rotation to respond to incidents and ensure rapid resolution of production issues. Conduct thorough post-incident reviews to identify root causes and implement preventative measures.
• Manage and automate cloud infrastructure using Terraform and Helm, adhering to GitOps principles.
• Implement and maintain comprehensive monitoring, logging, and tracing solutions to proactively identify and resolve performance and reliability issues.
• Monitor and manage data infrastructure capacity, plan for future growth, and optimize performance through tuning and automation.
• Develop and maintain automation scripts and tools to streamline operational tasks, improve efficiency, and reduce manual effort.
• Ensure the security and compliance of data infrastructure services, implementing best practices for access control, data protection, and vulnerability management.
• Collaborate with development and data engineering teams to ensure smooth deployments and operational support. Maintain thorough documentation of infrastructure configurations, processes, and procedures.
• Manage and maintain distributed databases running within a Kubernetes environment.

Our Tech Stack:

• Cloud-Based Infrastructure: Fully cloud-based with a Kubernetes-focused tech stack. Compute workloads run in Kubernetes clusters across multiple regions.
• Infrastructure Management: Heavy use of Terraform and Helm, adhering to GitOps paradigms for managing cloud infrastructure and Kubernetes applications.
• Core Technologies: Extensive use of Kafka, distributed PostgreSQL and Cassandra QL, Elasticsearch, and Databricks/Spark. Development of inter-cloud failover options to support multi-cloud plans.
• Wide Array of Applications: Teams build and release containerised applications for low latency APIs, machine learning models, and data processing pipelines.

About You:

• Experience as an SRE managing cloud infrastructure (AWS and/or GCP) and data systems (Apache Kafka, Apache Spark, Elasticsearch, PostgreSQL, Cassandra). Proven track record of improving reliability and availability in complex production environments.
• Extensive experience codifying infrastructure using Terraform and Helm charts.
• Proven experience managing and troubleshooting distributed databases within Kubernetes.
• Deep understanding of monitoring, logging, and tracing tools and techniques.
• Strong incident response and troubleshooting skills.
• Proficiency in scripting and automation tools.
• Understanding of security best practices for cloud infrastructure and data systems.
• Familiarity with CI tooling, test pipelines, and asset generation (e.g., Docker images, Helm charts). Understanding of security considerations in data systems.

Education:

• BSc/BA degree in computer science, engineering, or related discipline OR equivalent experience in required skills.

Nice to have

• Familiarity with distributed SQL and NoSQL databases such as Yugabyte, Cockroach, Spanner, HBase, or CouchDB.
• Familiarity with data modelling, sharding, and indexing strategies for large-scale databases.

What’s in it for you? 

• Equity as we want you to have a part of what we are building 
• Private medical insurance designed to keep you ensuring peace of mind while you excel in your career
• Unlimited Time Off Policy- A work-life balance and focus on our well-being are critical to keeping us performing at our best 
• We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships
• You will also get a new starter budget to kit out your home office 
• Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve 
• Annual learning budget (prorated based on start date) to drive your performance and career development 

Role Summary

As the Product Manager for Frontend and Design Platform, you sit at the intersection of UX excellence and systems engineering. You don’t just care that a button looks good; you care that the button is a robust, accessible, and reusable component that enables 50+ developers across 10+ different internal apps to build consistent experiences at speed.

In this role, you will own the ComplyAdvantage Frontend and Design (Platform). You’ll be responsible for the "Lego bricks" of our platform, ensuring that whether a developer is building a high-stakes investigation dashboard or a simple settings page, the UI is intuitive, invisible, and efficient. Your work directly empowers our product squads to ship high-quality features faster, while ensuring our users - financial crime analysts - can do their jobs with total trust and zero friction.

Key Responsibilities

• Own the Frontend Platform Roadmap: Define the strategy for our UI component library and frontend patterns, transitioning from "building pages" to "building systems."
• Champion Efficiency & Trust: In the world of B2B compliance, "delight" means speed and accuracy. You will optimize our frontend infrastructure for analyst efficiency rather than flashy B2C animations.
• Drive Deep User Discovery: Regularly sit with internal and external users (analysts and compliance officers) to observe workflows and identify where UI friction hinders financial crime detection.
• Scale Developer Velocity: Define and monitor metrics for component adoption and developer experience (DevEx), ensuring our frontend platform reduces "time-to-market" for feature teams.
• Bridge Design and Engineering: Lead your squad in translating Figma prototypes into production-ready, accessible, and themeable React components (or equivalent).
• Systemic Prioritization: Balance the immediate needs of "Flagship" product squads with the long-term health and coherence of the global design system.
• Responsible for coordinating the design pipeline with Product PRD requirements and processes, ensuring design work is aligned with PRD needs.
• Drive the evolution of the overall UI and UX to meet the changing needs of our Clients in the advent of AI co-pilots and agents. 

Required Qualifications

• 4+ years of Product Management experience, with at least 1–2 years focused on Design Systems, Frontend Platforms, or Internal Developer Tools.
• B2B Experience is Essential: A proven track record of building complex, data-heavy interfaces where utility and trust are the primary goals.
• Systems Thinking: Demonstrated experience with Atomic Design principles and managing shared component libraries.
• Discovery Mastery: Expert in using tools like Pendo, Hotjar, or Figma to conduct research and validate frontend hypotheses.
• Technical Fluency: Ability to discuss APIs, CSS architecture, and frontend performance trade-offs with senior engineers.
• Bachelor’s degree in a relevant field (e.g., Computer Science, HCI, or Design).

About You

• The "Lego" Builder: You think in components, not templates. You get excited about the scalability of a "Text Input" that will be used for the next five years.
• The Empathetic Observer: You enjoy the "detective work" of watching a user struggle with a workflow and finding the systemic UI fix that solves it for everyone.
• B2B over B2C: You understand that our users are professionals doing a high-stakes job. You prefer "invisible" UI that helps them find criminals over "viral" UI features.
• The Bridge: You can speak the language of a UI Designer on Monday and a Frontend Engineer on Tuesday, acting as the glue between aesthetic vision and technical reality.
• Outcome-Driven: You value adoption rates and "time-to-ship" metrics just as much as pixel-perfect execution.

What Success Looks Like

• In 90 days: You’ve audited our existing component library, established a feedback loop with the Design and Engineering chapters, and identified the top three friction points in our current frontend workflow.
• In 6 months: You have delivered a core set of standardized components adopted by at least three major product squads, significantly reducing their frontend development time.
• In 12 months: The ComplyAdvantage Design System is the "source of truth" for all UI. You’ve established a clear contribution model where other teams can add to the system, and you are recognized as the guardian of our platform’s visual and functional consistency.

What’s in it for you?

• Equity as we want you to have a part of what we are building. 
• Unlimited Time Off Policy. A work-life balance and focus on our well-being are critical to keeping us performing at our best. 
• We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships.
• ​​Comprehensive Medical Insurance. Your health is our priority; we’ve got you covered.
• You will also get a new starter budget to kit out your home office. 
• Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve. 
• Annual learning budget (prorated based on start date) to drive your performance and career development. 
• We provide everyone with the latest modern laptops and tech stacks to ensure you’re never slowed down by your tools.