9 compliance monitoring manager jobs

Do you enjoy building scalable products that empower compliance teams to track fund flows and uncover deeper insights in financial data? Are you excited to solve complex engineering challenges that improve speed, precision, and usability across investigative workflows? Elliptic is seeking a Software Engineering Lead to join our Investigations team . This is a unique opportunity to make a tangible impact at the intersection of cutting-edge technology and financial crime prevention. You’ll lead a team of talented product and data engineers dedicated to building powerful tools that help investigators worldwide uncover and stop illicit activity in the crypto space. The Impact You Will Have As Lead of the Investigations team, you will play a pivotal role in shaping the future of crypto investigations and how compliance teams track and prevent financial crime. Working closely with the product team, you’ll help define the technical direction of our product that’s quickly becoming...

Elliptic has helped trace and disrupt over $21.8 billion in illicit crypto laundered across blockchains, from sanctioned nation states to organized crime networks hiding funds through token swaps and unregulated exchanges. It’s how compliance and investigations teams fight back, tracking and screening transactions with 99% market coverage. The infrastructure behind all of this needs to be as resilient and sharp as the intelligence it delivers. We're looking for a Lead DevOps Engineer to own and evolve our DevOps practices. This is a role for someone who combines deep technical ability with a genuine passion for growing the team. You'll lead a team of DevOps engineers while staying close to the technical work, setting direction on infrastructure, automation, and reliability. The Impact You Will Have As a Lead DevOps Engineer at Elliptic, you will have a deep impact across the company by championing DevOps, security, and reliability principles. You’ll help build a culture of...

Elliptic has helped trace and disrupt over $21.8 billion in illicit crypto laundered across blockchains, from sanctioned nation states to organized crime networks hiding funds through token swaps and unregulated exchanges. It’s how compliance and investigations teams fight back, tracking and screening transactions with 99% market coverage. The infrastructure behind all of this needs to be as resilient and sharp as the intelligence it delivers. We're looking for a Lead DevOps Engineer to own and evolve our DevOps practices. This is a role for someone who combines deep technical ability with a genuine passion for growing the team. You'll lead a team of DevOps engineers while staying close to the technical work, setting direction on infrastructure, automation, and reliability. The Impact You Will Have As a Lead DevOps Engineer at Elliptic, you will have a deep impact across the company by championing DevOps, security, and reliability principles. You’ll help build a culture of...

Do you want to be part of the future of value transfer? Are you excited about solving problems that have never been solved before? Are you looking for a values led company, which cares about the growth of its employees? Elliptic's Real-time Risk team builds the engine that powers how our customers screen, monitor, and act on blockchain risk. We own the data pipelines, scoring infrastructure, and continuous monitoring systems that keep compliance teams ahead of financial crime, in real time, at enterprise scale. We're looking for a Senior Software Engineer to help us tackle the most technically demanding problems on the platform, working closely with data engineering counterparts to deliver capabilities that give customers a truly personalised, insight-rich view of the blockchain. The Impact You Will Have As a Senior Software Engineer on the Real-time Risk team, you will help shape the technical direction of a complex, high-stakes system. You'll work on world-class sanctions...

Department: Technology Location: London Description Overview of the role This role leads the Banking and FX tribe, which owns payment processing, FX pricing and trading, the ledger, reconciliation, bank integrations, FIX engine connectivity, payment compliance, and the client portal. You will manage six to eight engineers and own the tribe's delivery and OKRs. You'd work with product, design and stakeholders across the business to turn client problems into things we actually ship and support. This is not a fully hands-on role, but you need to be technical enough to help your team when they need it, review code, and break the tie when a decision has to be made. Key Responsibilities Own delivery and OKRs for the tribe. Forecast it, sequence it, and say early when something is slipping. Work with product, design and stakeholders to turn client problems into shipped software. Push past the first solution someone offers to the problem underneath it. Take the...

Description About Xe Xe is a cross-border payments platform. We help SMEs and consumers in the US, UK, Canada, Australia, and New Zealand collect, convert, hold, and send money across markets. Each year, over 300 million people use Xe for currency information and over 350,000 use us to send money overseas. Today, we're rebuilding the platform layer behind cross-border payments for corporate and consumer clients. We're small enough that your code ships fast and your decisions matter, and Euronet Worldwide (Nasdaq: EEFT) backs us so the problems stay real-scale. About This Role We're hiring a senior back-end engineer who owns real problems end-to-end and shapes how the team builds, from API design and data modeling through to service implementation, production reliability, and launch. You already use AI as part of how you think, build, test, and ship. You'll write code that moves money in production, design and modernize the backend services the platform runs on, and lead...

About Us At Fenergo, we're not just building software—we're transforming how the world's leading financial institutions fight financial crime. Headquartered in Dublin and trusted by over 100 of the world's top financial institutions, we're on a mission to change the game.  We're more than a global leader in AI-powered client lifecycle management—we're reimagining how financial institutions tackle compliance. From Know Your Customer (KYC) and Anti-Money Laundering (AML) to rapidly evolving regulations, we turn complexity into clarity. Our FinCrime Operating System, powered by agentic AI and intelligent automation, helps financial institutions move faster, act smarter, and stay safer across 120+ countries.  But we don't stop there.  At Fenergo, we believe in a world where financial institutions aren't just compliant—they're confident. Where technology doesn't just meet regulations—it stays ahead of them. Our mission is to empower financial institutions to stop financial crime...

LMAX Group is looking for a highly skilled and passionate Data Operations Engineer/Developer to join our team and help build and scale our data processing infrastructure. In this role, you'll develop high-performance data pipelines, real-time streaming systems, and robust data architectures that power LMAX's growth and Business Intelligence initiatives. You will work with the wider technology and business teams to continuously improve the quality of data that drives our decision making within the Forex and digital currency trading and custody solutions. This role is ideally suited to a senior-level engineer, but we are more than willing to help a driven mid-level engineer grow into the position. About You You are comfortable architecting, building and supporting end-to-end solutions that are practical and performant. Throughout your career, you have developed a broad set of knowledge and skills and are comfortable wearing different hats. You have acquired the know-how around...

ML Ops Engineer Role Overview We’re hiring an ML Ops Engineer to own the reliability, scalability, and operational integrity of our machine-learning systems in research & production. This role sits at the intersection of data engineering and ML infrastructure: you’ll design and operate data pipelines that feed models, and you’ll build the tooling that trains, deploys, monitors, and retrains them. You’ll work closely with research engineers and product teams, taking models from experimentation to production-grade systems with clear SLAs, reproducibility guarantees, and observable behaviour. This is not a research role; it is a hands-on engineering role focused on making ML systems work reliably at scale. What You’ll Work On ML lifecycle infrastructure Productionizing models: packaging, deployment, versioning, and rollback Designing CI/CD pipelines for ML (training → validation → deployment) Implementing model monitoring (data drift, prediction drift,...