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

Nominate & Attend

Fraud Analyst

Sumsub
London
4 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst (Fraud)

Data Analyst

Data Analyst

Senior Data Analyst | Cambridge | Fintech

Senior Data Analyst | Cambridge | Fintech

Data Engineer

Sumsubis the one verification platform to secure the whole user journey. With Sumsub’s customizable KYC, KYB, transaction monitoring and fraud prevention solutions, you can orchestrate your verification process, welcome more customers worldwide, meet compliance requirements, reduce costs and protect your business.

Sumsub has over 2,500 clients across the fintech, crypto, transportation, trading and gaming industries including Bitpanda, Wirex, Avis, Bybit, Huobi, Kaizen Gaming, and TransferGo.

Now we are looking for a proactive and intelligentFraud Analystto join our growing Fraud Prevention team. This role offers a unique opportunity to collaborate with clients, enhance our fraud prevention capabilities, and contribute to the growth of a dedicated product within the department.

What You Will Be Doing:

  • Work closely with the Head of Fraud Prevention during client engagements.

  • Conduct pilot projects using client data, assess risks, and define data requirementы.

  • Analyze data, identify fraud patterns, and present actionable insights to clients.

  • Conduct tailored demonstrations highlighting the system's capabilities and client benefits based on client-specific cases.

  • Proactively identify potential fraud risks and system performance issues.

  • Provide actionable feedback to the development team to improve product efficiency and accuracy.

About You:

  • Proficiency inSQL,Python, andSpark.

  • Deep understanding of at least one of the following industries:Payments,iGaming,Trading, orForex.

  • Strong analytical skills with a data-driven mindset.

  • Fluent English.

  • Resourceful, with a highly collaborative approach.

  • Able to thrive in a dynamic, client-focused environment and can balance technical skills with business acumen.

Additional requirements:

  • Experience withdevice intelligenceandrisk/fraud OPS platforms.

  • Knowledge ofclassic Machine Learningconcepts.

  • Prior experience inpre-salesor client-facing roles.

What We Offer:

  • Competitive compensation in compliance with your professional expertise.
  • Working with a product that matters. Our technology helps to protect millions of users and lots of online services worldwide.
  • International project. Our team works from offices in Berlin, Limassol, London, and Miami, our customers are spread from Mexico and the USA to Hong Kong, South Korea, and Singapore.
  • Remote first company – work from anywhere in the world.
  • Paid vacation and sick leave.

The hiring stages:TA screening -> manager interview -> final round.

Sounds like a great opportunity for your career development? Then go ahead and apply!


We are a global community of innovators, creators, and thinkers, and we believe that diversity fuels our innovation. Sumsub is proud to be an equal opportunity employer, committed to building a diverse and inclusive workforce. We welcome applications from people of all backgrounds, cultures, genders, experiences, abilities and perspectives. Join us in shaping the future inclusively.

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.