National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Director, Financial Crime Controls

Checkout.com
London
7 months ago
Applications closed

Related Jobs

View all jobs

Data Analytics Manager

Finance Analyst

Senior Data Engineer (NLP & ML)

Associate Director of AI

Senior Marketing Data Scientist - Strategic Growth Partner

Senior Forward Deployed Data Scientist

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

National AI Awards 2025

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.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.