Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Director, Financial Crime Controls

Checkout.com
London
9 months ago
Applications closed

Related Jobs

View all jobs

Global Director of Software and Data Engineering, Enterprise Data Office

Senior Data Analyst

Engineering Manager, Machine Learning Platform

Senior Director, AI and Machine Learning– Evinova

Professional Services Manager (Data Engineering Team)

Director Data Engineering

This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board.

Check out the role overview below If you are confident you have got the right skills and experience, apply today.Company Description

Checkout.com is one of the most exciting fintechs in the world. Our mission is to enable businesses and their communities to thrive in the digital economy. We're the strategic payments partner for some of the best known fast-moving brands globally such as Wise, Hut Group, Sony Electronics, Homebase, Henkel, Klarna and many others. Purpose-built with performance and scalability in mind, our flexible cloud-based payments platform helps global enterprises launch new products and create experiences customers love.

We empower passionate problem-solvers to collaborate, innovate and do their best work. That's why we're on the Forbes Cloud 100 list and a Great Place to Work accredited company. And we're just getting started. We're building diverse and inclusive teams around the world - because that's how we create even better experiences for our merchants and our partners. And we need your help. Join us to build the digital economy of tomorrow.

Job Description

How you'll make an impact

Manage all aspects of checkouts Financial Crime Controls Operations, with teams based in multiple global locations.

Own checkouts ongoing relationship with our third party outsource provider in support of operational processes.

Oversee supporting capabilities for Transaction Monitoring and Screening processes, including development and implementation of models involving tuning, calibration, segmentation and optimisation.

Manage the ongoing support to the business in relation to AML and Sanctions issues, working in partnership with local MLROs to provide advice to stakeholders to ensure ongoing compliance with relevant regulation.

Partner with our Compliance Product teams to ensure effective and efficient operations with clearly defined roles and responsibilities.

Identify KRIs, critical metrics, and other indicators to evaluate the activity, performance, and efficiency of FCC processes.

Support compliance monitoring, regulatory reporting, and participate in the drafting and improvement of procedures.

Work with internal partners to support new product launches and expansion plans.

Qualifications

What we're looking for

Familiarity in implementing, testing, or evaluating the performance of financial crime and compliance systems.

Consistent record of strong quantitative testing and statistical analysis techniques as it pertains to BSA/AML models, including name similarity matching, classification accuracy testing, unsupervised/supervised machine learning, neural networks, fuzzy logic matching, decision trees, etc.

Experience talking to banking regulators and enforcement staff.

Thorough understanding of an effective financial crimes risk management framework.

Demonstrated ability to run multiple projects simultaneously.

Validated managerial skills vital to successfully administer core support and critical regulatory relationship function within a diverse organization and effectively coordinate between multiple businesses and support units.

The ability to interact effectively at all levels of the organization, including bank staff, management, directors, and prudential regulators.

Ability to work autonomously and prioritise your own work.

Experience of leading the NY DFS Part 504 Final Rule.

Enjoy working with other business functions and making sure you're heard.

Enthusiastic about collaborating in the development of cutting edge AI tools and technology (e.g. deep learning, CNN etc).

Familiar with control environments and their challenges.

Additional Information

If you don't meet all the requirements but think you might still be right for the role, please apply anyway. We're always keen to speak to people who connect with our mission and values.

We believe in equal opportunities

We work as one team. Wherever you come from. However you identify. And whichever payment method you use.

Our clients come from all over the world - and so do we. Hiring hard-working people and giving them a community to thrive in is critical to our success.

When you join our team, we'll empower you to unlock your potential so you can do your best work. We'd love to hear how you think you could make a difference here with us.

We want to set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. We'll be happy to support you.

Take a peek inside life at Checkout.com via

Our Culture videohttps://youtu.be/BEwnpHuadSw

Our careers pagehttps://www.checkout.com/careers

Our LinkedIn Life pages bit.ly/3OaoN1U

Our Instagramhttps://www.instagram.com/checkout_com/

#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.