76 to 100 of 164 Fraud Detection Jobs in the UK

managing codebases and collaborating in team environments. Nice to haves: experience with Bayesian modelling and probabilistic programming libraries such as PyMC; proven ability in the creation and deployment of fraud detection models; familiarity with Amazon Sagemaker and its various features used in model development and deployment. Your Personal Attributes Be self-motivated and comfortable working in a fast More ❯

will join one of the sub-teams in the Pay-In domain, which develops and maintains the systems that integrate with payment providers, manage disputes, and leverage ML for fraud detection and prevention. The reliability of these systems is business-critical for Spotify. What You'll Do Architect, design, and implement highly scalable backend services (Java/Python More ❯

mentor-led projects. 🔥 Why Our Alumni Get Hired: ✅ UK-Tuned Training: Curriculum co-designed with London AI start-ups & FTSE 350 firms ✅ Portfolio Builder: 5x real-world projects (e.g., fraud detection, sales forecasting etc) ✅ 1:1 career support – CV reviews, interview prep, and LinkedIn optimization. ✅ Job Pipeline: Exclusive access to UK hiring partners 📥 Application Process: 1️⃣ Apply via More ❯

Product Management experience, with a significant portion of that time spent in the B2B SaaS space. Direct experience in the online gambling industry, specifically with Responsible Gambling, AML, or Fraud Detection products, is highly desirable. Seniority in Product Management: Proven track record of owning and shipping successful products from concept to launch. You are comfortable with the full More ❯

Associate Fraud Analyst Location: London Clearance: SC required Duration: 12 months Rate: £210 - £250 per day (Inside IR35) Organisation Join a progressive government body committed to strengthening fraud prevention and safeguarding digital services. This organisation plays a key role in delivering innovative solutions to detect, manage, and mitigate fraud risks across its platforms. If you're passionate … about financial crime prevention and thrive in a fast-moving, analytical environment, this is your chance to make a real impact. Responsibilities Review and triage fraud alerts from live service data, ensuring timely intervention. Stay vigilant to emerging fraud issues and trends, identifying risks and patterns. Support senior analysts on large-scale fraud analysis, contributing to strategic … insights. Maintain and optimise workstreams and priority queues, ensuring efficient fraud detection and resolution. Communicate fraud assessments effectively to senior stakeholders, offering clear insights and recommendations. Work in a target-driven environment, ensuring fraud prevention strategies are effectively executed. Role-Specific Knowledge & Skills Essential: Experience in counter-fraud or financial crime investigation. Strong data analysis More ❯

as well as the Forbes Cloud 100 , CNBC Disruptor 50 , and TIME Magazine's 100 Most Influential Companies . About the Role As a senior member of Ramp's Fraud Operations team, you will play a pivotal role in safeguarding the company and its customers against fraudulent activities. This position involves analyzing new account applications, monetary and non-monetary … transaction activity to identify and mitigate risks associated with first-party and third-party fraud. We are seeking a detail-oriented professional who is adept at applying fraud detection techniques and leveraging data sources and tools to develop logical courses of action. In addition to technical acumen, this role requires strong interpersonal and communication skills to interact effectively … we continue to scale. Ideal candidates are self-starters who are energized by ambiguity and love creating clarity. What You'll Do Analyze new account applications to detect potential fraud patterns, including identity theft, synthetic identities, and other high-risk behaviors. Evaluate transactional activity, identifying anomalies and irregularities indicative of fraudulent behavior. Thoroughly investigate alerts of first-party and More ❯

one piece of software at a time. We are looking for an experienced and technically and process minded Product Manager to lead our Global payment rail expansion and anti-fraud practice. You will be responsible for expanding Global local currency support for our customers and for building out Blockchain.com’s risk and fraud functions, balancing a seamless user … Global customers to deposit, and pay with their local currency. Work with the brokerage team to enable trading in these local currencies. Build an industry-leading risk and anti-fraud function by collaborating with industry experts to identify benchmarks and develop strategies to exceed them. Create and execute a product roadmap, monitoring trends to identify risks, opportunities and new … and analyze the impact of existing and new features on key KPIs and user engagement. Collaborate with engineering, data science, operations, compliance and other teams to design and implement fraud detection and prevention tools. Work with external vendors on opportunities and solutions to protect against fraud. Conduct root cause analysis of fraud incidents and develop corrective action More ❯

Get AI-powered advice on this job and more exclusive features. Who are we? Hi! We are Ravelin! We're a fraud detection company using advanced machine learning and network analysis technology to solve big problems. Our goal is to make online transactions safer and help our clients feel confident serving their customers. Who are we? Hi! We … are Ravelin! We're a fraud detection company using advanced machine learning and network analysis technology to solve big problems. Our goal is to make online transactions safer and help our clients feel confident serving their customers. And we have fun in the meantime! We are a friendly bunch and pride ourselves in having a strong culture and More ❯

sales position blends blockchain security, client consulting, sales support, and technical integration. You will collaborate directly with leading Web3 teams to understand their security challenges, develop real-time threat detection strategies, and ensure smooth implementation of Hexagate's solutions. This role demands technical problem-solving skills, strong blockchain security knowledge, client-facing abilities, and a proactive approach to ensuring … Lead technical onboarding and solution deployment, including custom monitor rules, API integrations, and alerting workflows Assist with integrations into customer pipelines and tools Provide ongoing advisory on threat models, detection coverage, and evolving security best practices Stay ahead of blockchain threats, advising customers on new attack vectors and security best practices Act as the voice of the customer to … in security, risk management, or blockchain-related industries A self-starter mindset, with the ability to work independently and handle multiple accounts Nice to have experience: Background in cybersecurity, fraud detection, risk management in DeFi, or security in blockchain environments SQL, Python, or other scripting experience for querying blockchain data Technologies we use : Solidity & smart contract security tools More ❯

financial services Skills & Experience Proven success in B2B technology sales, ideally within AI, data analytics, or cloud services Strong understanding of AI applications in financial services and insurance (e.g., fraud detection, risk modeling, customer insights) Experience working with Tier 1 technology vendors and strategic partners Excellent communication, negotiation, and stakeholder management skills Ability to manage multiple opportunities and More ❯

financial services Skills & Experience Proven success in B2B technology sales, ideally within AI, data analytics, or cloud services Strong understanding of AI applications in financial services and insurance (e.g., fraud detection, risk modeling, customer insights) Experience working with Tier 1 technology vendors and strategic partners Excellent communication, negotiation, and stakeholder management skills Ability to manage multiple opportunities and More ❯

Platform Integrity Own the development of machine learning systems that protect platform integrity and ensure safe user experiences. Build LLM- and CV-based moderation frameworks for content classification, behavioral detection, and adaptive risk scoring. Continue developing real-time fraud detection pipelines using graph analytics, user profiling, and anomaly detection models. Partner with internal compliance and operations More ❯

financial services Skills & Experience Proven success in B2B technology sales, ideally within AI, data analytics, or cloud services Strong understanding of AI applications in financial services and insurance (e.g., fraud detection, risk modeling, customer insights) Experience working with Tier 1 technology vendors and strategic partners Excellent communication, negotiation, and stakeholder management skills Ability to manage multiple opportunities and More ❯

written and verbal, as Assurance reports may be shared with regulators Nice to have Knowledge of payment screening, sanction and PEP regulations Experience in inbound and outbound real-time fraud detection Experience in rule based or model based AML transaction monitoring, threshold tuning, and below the line testing Experience in identifying and preventing onboarding risks for retail (KYC … customers Experience in risk assessments or review of FCA regulations and EU AML directives Experience with regulatory reporting, SAR filing, and external enquiries Experience in detecting and investigating internal fraud Experience in designing and implementation or testing of customer risk scoring and customer segmentation Data analytics skills, including SQL and/or Python Experience in insurance, crypto, and/ More ❯

financial services Skills & Experience Proven success in B2B technology sales, ideally within AI, data analytics, or cloud services Strong understanding of AI applications in financial services and insurance (e.g., fraud detection, risk modeling, customer insights) Experience working with Tier 1 technology vendors and strategic partners Excellent communication, negotiation, and stakeholder management skills Ability to manage multiple opportunities and More ❯

performance. Drive alignment on long-term KYC & Eligibility strategy, ensuring the platform remains compliant and user-friendly. WHAT YOU WILL NEED Technical Skills Experience leading teams in identity verification, fraud prevention, or KYC-related engineering. Strong software engineering and system architecture knowledge, particularly in onboarding and verification workflows. Experience with JVM languages (Kotlin, Java). This role is hands … on and requires time spent reviewing and contributing code. Familiarity with KYC and identity verification providers (e.g., Sumsub, Veriff, DXC). Knowledge of security, compliance, and fraud detection best practices in onboarding. Experience with monitoring, observability, and debugging onboarding-related issues. A passion for crypto and the transformations it enables Leadership & Collaboration Proven experience mentoring and developing engineers More ❯

Experience leading application modernisation initiatives. * Awareness of functions such as general ledger, payments, reconciliations, settlements, accounting, actuarial, and risk within financial services. * Experience with pricing models, claims processing, and fraud detection within the insurance sector. * Immediately available. If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format. Disclaimer More ❯

scientists who enjoy working on creative machine learning algorithms and thrive in a fast-paced, fun environment. An Applied Scientist is responsible for solving inherently hard problems in advertising fraud detection using deep learning, self-supervised techniques, representation learning and advanced clustering. An ideal candidate should have strong depth and breadth knowledge in machine learning, data mining and More ❯

world problems with significant impact? Machine learning (ML) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations. At ProServe we help AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in More ❯

for our advertisers and publishers. We are focused on solving a wide variety of problems in computational advertising like Contextual data processing and classification, traffic quality prediction (robot and fraud detection), Security forensics and research, Viewability prediction, Brand Safety and experimentation. Our team includes experts in the areas of distributed computing, machine learning, statistics, optimization, text mining, information More ❯

Typical projects include: Establishing the foundation for product analytics at Tempcover, including event tracking, platform insights, and user behaviour analysis. Investigating customer segments and behaviours to support pricing, targeting, fraud detection, and product development decisions. Modelling and tracking customer return behaviour across products and platforms. Analyzing and improving digital marketing and consumer journeys. Designing and evaluating A/ More ❯

for data analytics, specifically with a strong understanding of Machine Learning (ML) and Artificial Intelligence (AI) models. Specialized knowledge of financial crime models (e.g., Anti-Money Laundering (AML) and fraud detection) is highly desirable, complemented by the ability to effectively manage a diverse portfolio of model and risk types. Proven proficiency in major programming languages and advanced data More ❯

Who are we? Hi! We are Ravelin! We're a fraud detection company using advanced machine learning and network analysis technology to solve big problems. Our goal is to make online transactions safer and help our clients feel confident serving their customers. And we have fun in the meantime! We are a friendly bunch and pride ourselves in More ❯

solutions to complex business problems, working with large, unstructured datasets. Apply various exploratory data analysis techniques and processes to these datasets, including entity resolution at scale and graph-based fraud detection. With support from senior data scientists, play a lead role in the delivery of high-quality products, solutions, models, and/or algorithms in a timely manner. Make More ❯

About the role**We are looking for a Fraud Analytics Manager to lead and **scale our fraud prevention strategies** across personal loans and credit cards. In this role, you will drive the **design**, **implementation**, and **optimization** of fraud detection models and strategies. You will work closely with other business areas, including product, data science, engineering, and … operations, to **stay ahead of emerging fraud threats.**This role will report to the Lead Product Manager of US Cards.**What you'll be doing*** **Strategy Development:** Design and implement end-to-end fraud detection strategies (first party and third party) for personal loans and credit cards across the product lifecycle (customer acquisition, account takeover/credit … card transactions, and payments).* **Data Analysis and Insights:** Analyse usage patterns and trends to measure and optimize the effectiveness of existing fraud strategies, including balancing value from fraud prevention vs. opportunity cost of false positives. In addition, manage the suite of dashboards and tools to monitor key fraud metrics and quickly detect fraud attacks.* **Fraud More ❯