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 

Writing software is your hobby. You want to team up with great people because that’s the best way to grow and learn. You want your work to make a positive impact in the world. You love the idea that your code can help combat global crime. Is this you? Then you will fit well in our team. 

We are building cutting-edge solutions to create a safer world and stop money from ending up in the hands of criminals. Your work will allow our clients to identify and understand criminal, financial, and political risks, updating dynamically as new data becomes available from various sources (sanctions, watchlists, corporate registries, media, …).

As a Junior Software Engineer, you will:

• Collaborate on the design and build distributed data pipelines and the system around our Knowledge Graph to build and improve our next-generation anti-money laundering solution.
• Work with our product manager(s) to understand and contribute to our goals, find a solution to reach them and prioritise accordingly.
• Engage in the full product lifecycle, including ideation, design, and deployment and get code from initial requirements to deployed services in production (with help of our SRE teams).
• Improve scalability, latency and throughput of our pipelines while keeping high standards in systems reliability and resilience.
• Model data and design schemas to accommodate the needs of our Knowledge Graph and the whole data ecosystem.
• Collaborate with squads and functions across the company to ensure the quality and impact of your designed solutions.
• Be responsible for the quality of your code. Write tests, document, and take ownership of the systems that ensure the quality of our code.
• Work with ML engineers to build and deploy new features for AI-powered components.
• Actively learn, adopt best practices, identify space for improvement, contribute to our engineering culture and always strive for making us better.
• Use AI-assisted development tools (like Claude Code or Gemini Code Assist) under guidance to improve your productivity and code quality.

Our Tech Stack:

The data-driven nature of the role and the prominence of Python in the data and ML ecosystem means you will primarily work in Python and engineer data pipelines. Any relevant experience is going to be helpful but we believe that top engineers are able to learn quickly and adapt to new technologies so that we can innovate and react to the fast changing world. 

• Our technology stack is designed to run on public cloud architectures, notably AWS and GCP;
• Python and Kotlin programming languages;
• Spark, Databricks, Google Dataproc, Delta lakes for stream and big data processing;
• Relational (Postgres), large scale NoSQL and graph databases and other distributed or cloud-based object stores;
• Event-sourced model powered by Kafka for our communication bus;
• Modern observability solutions (such as Datadog or Grafana);
• Git, ArgoCD, Terraform, Kubernetes.

About you: 

As a Junior Software Engineer, you will have: 

• Strong sense of ownership and accountability (you are able to independently drive your work to the successful end and ask for help if needed).
• Master degree in Computer Science, Engineering, or a related field, OR equivalent practical experience (approx 1-2 years of professional experience in relevant role).
• Intermediate knowledge of one or more programming languages.
• Experience with Python on a real-world project.
• Experience with code versioning (Git).
• Experience with key software engineering concepts like unit tests, databases.
• At least basic experience with working in cloud environment (preferably GCP, AWS or Azure).
• Ability to work effectively in a team and communicate clearly.

Nice to haves: 

• Experience working in a multi-disciplinary team of Data Scientists, ML Engineers, SREs and product managers.
• Experience working with distributed computing.
• Experience with a real-world production grade system(s) and its deployment.
• Experience working with knowledge graphs or graph databases.
• Experience with data analysis, relevant machine learning techniques and graph algorithms.
• Experience with agile methodologies in software development.
• Experience in development using Java or Kotlin.

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.
• 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. 

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

Are you a data enthusiast with a passion for uncovering hidden insights and driving impactful change? Our dynamic and successful team is expanding its remit, and we're looking for an ambitious Operations Analyst to join our Technology Operations Team. You'll play a crucial role in empowering our business to make data-driven decisions, building on our proven track record of affecting change through metrics, reporting to the Senior Manager of Technology Operations.

We are the 'hub' of reporting across Engineering, Product, and Data Operations, giving you a unique opportunity to gain a deeper understanding of how a technology organization measures and reports on various productivity, delivery, quality, and ultimately value metrics. This is a new and exciting opportunity for our business, offering significant scope for impact and growth. If you thrive on working with data, enjoy telling compelling stories with numbers, and are ready to make a tangible difference, we want to hear from you.

What you'll do:

• Acquire and Prepare Data: Source data from various systems, including via API connections, ensuring data quality and integrity.
• Transform and Model: Clean, transform, and model large datasets to prepare them for analysis, identifying key variables and relationships.
• Analyse and Interpret: Apply your knowledge of statistical models and analytical techniques to uncover trends, patterns, and hidden insights within complex operational data.
• Visualize and Communicate: Develop clear, concise, and executive-appropriate reports and data visualizations that effectively communicate complex connections and findings to non-technical stakeholders. Experience with data visualization tools (e.g., Looker, Power BI, Tableau) is a plus.
• Storytell with Data: Translate data insights into actionable recommendations, crafting compelling narratives that empower the business to make informed, data-driven decisions. The metrics and outputs you provide will directly inform product deliverables.
• Collaborate and Influence: Work closely with Engineering, Product, and Data Operations teams to understand their challenges and provide data-driven solutions that drive operational improvements.

What you'll bring:

• A Bachelor's degree in Statistics, Computer Science, or a similar quantitative field.
• Proven experience working with large datasets and a strong understanding of statistical models.
• Hands-on experience with the full data lifecycle: obtaining data (e.g., via API), transforming data, analyzing data, and data visualization.
• A passion for storytelling with data and the ability to communicate complex information clearly and concisely to diverse audiences.
• A proactive, curious, and ambitious mindset, eager to succeed in a new and evolving role.
• Excellent problem-solving skills and attention to detail.
• Familiarity with R/Python for data analysis is a nice-to-have.

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
• Hybrid working - We want you to strike a balance and be where you do your best work. You will work with your manager to agree on what is best for you and your team
• You will also get a budget to kit out your home office
• Opportunity to work on innovative projects with smart like-minded people who are keen to share their knowledge and continuously improve
• Annual learning budget to drive your performance and career development
• Meal Vouchers 40 RON/ Day
• Access to an Employee Assistance Programme
• Medical Insurance 
• 7Card (upon request)

Join us and be a part of a team that truly values the power of data to drive business success!

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 an International Affairs Research Analyst with knowledge in political sciences to help us build our SaaS-based anti-money laundering solutions, which help organisations fight financial crime!  You’ll get involved in measuring and building out our data coverage related to anti-money laundering (AML), mainly focused on sanctions and watchlists  (targeted financial sanctions, sanctioned vessels, warning lists). 

As an International Affairs Research Analyst for Sanctions and Watchlists, you will: 

• Execute research assignments on the scope of sanctions or warning lists
• Assess the accuracy and quality of existing data
• Support the team in identifying coverage improvement needs
• Work closely with Product and Data to ensure we exceed client expectations in relation to our data coverage and quality.

About you

As an International Affairs Research Analyst for Sanctions and Watchlists, you will:

• Have excellent research skills and a desire to understand issues holistically
• Have a broad understanding of principles of government structures around the world
• Have an outstanding level of attention to detail, and likely adopt a methodological approach to much of your research
• Enjoy working in a collaborative environment, have well-developed interpersonal skills, and the ability to support and mentor your colleagues
• Proficient English language skills

Nice to haves:

• Experience working in a scale-up/start-up

The impact you will have

It is key for our clients to know whether a customer or business has been sanctioned or appears on a watchlist. In this role, you will take ownership of correctly assessing updates to our existing database and execute internal quality assurance processes preparing data to be displayed accurately to clients.

What’s in it for you?

• Competitive Salary 
• 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 wellbeing 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 an annual budget to kit out your home office
• Opportunity to work on innovative projects with smart like-minded people who are keen to share their knowledge and continuously improve
• Annual learning budget to drive your performance and career development
• Working from home budget
• Meal Vouchers 40 RON/ Day
• Access to an Employee Assistance Programme (Atlas) 
• Medical Insurance
• 7Card Subscription (upon request)

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 

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.

We are looking for a hands-on Technical Support Manager to lead our L1 support team in Cluj-Napoca. You will own the day-to-day operational performance of a shift-based team providing follow-the-sun support to ComplyAdvantage’s global customer base. This is a manager role: you will be close to the work, close to the data, and directly responsible for the quality and development of your team.

We have recently migrated from Zendesk to Pylon as our customer ticketing platform. We don’t expect you to have Pylon experience - but we do expect you to be the kind of person who picks up a new system quickly, configures it to work well, and continuously optimises it as the team’s needs evolve.

What We Are Specifically Looking For

Three qualities matter most in this hire. They are called out here because they are non-negotiable, and because we want to be transparent about what success in this role looks like from day one.

Active, direct performance management.  You have managed people, not just led them. You are comfortable having difficult conversations early, setting improvement goals, and following through. The people on your team should always know where they stand - and feel supported to grow. This is not a role for someone stepping into management for the first time.

Using data and AI to drive decisions and accountability.  You use data as a matter of habit - to spot trends, quantify problems, and hold others accountable. You are genuinely curious about AI tools and how they can make the team smarter and faster. You can translate support insight into commercial language: CSAT, churn risk, ARR exposure - and use it to influence Product and Engineering prioritisation, not just report it upward.

Passion for customer outcomes, not just ticket metrics.  You care about whether the customer’s problem was actually solved, not whether the ticket was closed. You push for root cause fixes over workarounds. You represent the customer’s voice in product conversations, and you find it unacceptable for the same issues to keep recurring without being addressed.

What You Will Be Doing

Team Leadership & Development

• Lead, coach, and develop a team of frontline L1 support analysts across shift patterns, including morning, afternoon, and overlap coverage.
• Set clear performance expectations and hold regular, structured 1:1s, not just check-ins, but genuine conversations about quality of work, individual development, and progression.
• Actively performance-manage underperformance: give direct, constructive feedback early, set improvement goals, and follow through. The team should know where they stand.
• Create structured development paths so analysts grow in capability and can take on greater ownership over time - including preparing the most capable for future step-up opportunities.
• Identify and address skills gaps proactively through coaching, training, and stretch assignments rather than waiting for issues to surface in data.
• Build a culture of accountability, curiosity, and customer empathy - where the team is proud of the quality of their work and takes ownership of outcomes.
• Partner with Singapore-based coverage to ensure genuine follow-the-sun continuity for our global customer base.

Operational Excellence

• Manage daily ticket operations: triage, prioritisation, escalation, and resolution across the queue.
• Own shift handovers and ensure nothing falls through the gap between coverage windows.
• Maintain and improve team playbooks, escalation procedures, and standard operating procedures.
• Ensure escalations to engineering are well-documented, clearly prioritised, and tracked to resolution.
• Monitor queue health in real time and intervene early when volume, backlog, or SLA trends deteriorate.

Tooling & Systems

• Own the configuration, reporting, and continuous optimisation of Pylon as the team’s primary ticketing platform.
• Build and maintain dashboards that give the team - and leadership - clear visibility of performance, backlog, and trends.
• Identify manual or repetitive workflows and drive automation where tools allow, including Pylon’s integration with Slack, Linear, and Jira.
• Evaluate and pilot new tooling as the support stack evolves, including AI-assisted capabilities for ticket routing, deflection, and workflow guidance.

Data, AI & Continuous Improvement

• Use data to drive decisions: analyse ticket trends, identify recurring issues, and surface product or process gaps to Engineering and Product.
• Leverage AI tools to identify patterns in support volume, predict demand, and proactively address issues before they escalate.
• Champion root cause analysis over recurring workarounds - push for systemic fixes.
• Track KPIs including CSAT, first reply time, resolution time, backlog ageing, and escalation rates; report regularly to senior stakeholders.

Customer Advocacy & Cross-functional Collaboration

• Act as the voice of the customer internally, representing support trends in cross-functional discussions with Product, Engineering, and Customer Success.
• Hold Product accountable for recurring pain points: quantify the business impact of unresolved issues in terms of CSAT trends, churn risk, and ARR exposure - not just ticket volume. Support insight should carry commercial weight in product prioritisation discussions.
• Ensure seamless escalation coordination with the Customer Success team during complex or high-priority customer situations.
• Develop self-service resources - FAQs, knowledge base articles, and guided workflows - to reduce avoidable ticket volume.
• Contribute to QBRs and executive updates with data-backed insight on support performance and customer health.

Incident Response

ComplyAdvantage has a formal, well-established incident response plan for major service disruptions. Customer-facing communications during incidents are owned separately. The Manager’s responsibility in this area is process adherence and measurement, not incident command.

• Ensure the support team follows established incident response procedures consistently and without delay when disruptions occur.
• Act as the support-side point of contact during incidents, coordinating with the responsible individual for customer communications and with Engineering for resolution updates.
• Maintain clear visibility of incident-related ticket volume, SLA impact, and team response times throughout.
• Contribute to post-incident reviews from the support perspective; ensure any process gaps or team training needs identified are addressed.
• Use incident data to monitor recurring disruption patterns and surface systemic risks to Product and Engineering.

About You

We are looking for someone who combines operational rigour with genuine passion for customer outcomes and team development. We are looking for someone who has operated at a manager level - with real accountability for performance, development, and operational decisions - not someone stepping into management for the first time.

Experience

• 3–5 years of experience in technical or customer support, with at least 1–2 years in a management role with direct people accountability and focused on growth and career progression (not team lead or senior analyst).
• Demonstrated track record of performance managing individuals: setting expectations, delivering feedback, running improvement processes, and making difficult calls.
• Proven experience managing shift-based teams, ideally across time zones.
• Hands-on experience configuring, reporting on, and optimising ticketing or CRM platforms (Zendesk, Freshdesk, Intercom, Salesforce Service Cloud, or similar - Pylon experience not required but fast learning is essential).
• Experience working in a B2B SaaS environment, preferably supporting technical or compliance-adjacent products.

Skills & Mindset

• Sharp eye for detail - you notice when something is off before it becomes a problem.
• Data-driven: comfortable pulling reports, spotting trends, and using insight to guide decisions rather than gut feel alone.
• Genuine enthusiasm for AI tools and automation - you actively look for ways to work smarter, not just harder.
• Able to translate support data into commercial language: CSAT, churn risk, ARR impact - and use it to influence stakeholders beyond the support function.
• Strong written and verbal communication skills in English; able to write clear, empathetic customer-facing responses and crisp internal escalations.
• Calm under pressure and decisive when it matters: able to triage competing priorities and keep the team focused.
• A genuine developer of people - patient, direct, and invested in bringing out the best in those around you. You find it rewarding to see someone improve, and frustrating when potential is left on the table.
• Collaborative and low-ego - you work well with Engineering, Product, and Customer Success without needing to own the credit.

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 wellbeing 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 an annual budget to kit out your home office
• Opportunity to work on innovative projects with smart like-minded people who are keen to share their knowledge and continuously improve
• Annual learning budget to drive your performance and career development
• Working from home budget
• Meal Vouchers 40 RON/ Day
• Access to an Employee Assistance Programme (Atlas) 
• Medical Insurance
• 7Card Subscription (upon request)

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 

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 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