101 to 125 of 153 Fraud Detection Jobs in England

strategic partner who ensures the sales narrative is technically credible, value-focused, and aligned with customer outcomes. Be a strategic advisor to sales teams, connecting expertise in AML and fraud detection solutions to platform capabilities during enterprise deal cycles. Support the development and execution of go-to-market strategies, ensuring alignment, adherence, and outcomes across regions. Team Leadership … knowledge required to excel in a modern B2B SaaS environment. Stay ahead of industry trends, regulatory changes, and competitive developments to maintain thought leadership in the AML and financial fraud space. About You: Proven experience in a senior Solutions Consulting or pre-sales leadership role, ideally within the AML, fraud detection, or financial crime technology domain. Demonstrated … success in partnering with sales teams to drive revenue growth. Strong track record of scaling and managing high-performing global teams. Deep understanding of AML, fraud, and financial crime risk management challenges faced by organizations. Exceptional strategic thinking, problem-solving, and communication skills. Experience collaborating with Product, Customer Success, and Implementation teams. Willingness to travel internationally as required. Preferred More ❯

strategic partner who ensures the sales narrative is technically credible, value-focused, and aligned with customer outcomes. Be a strategic advisor to sales teams, connecting expertise in AML and fraud detection solutions to platform capabilities during enterprise deal cycles. Support the development and execution of go-to-market strategies, ensuring alignment, adherence, and outcomes across regions. Team Leadership … knowledge required to excel in a modern B2B SaaS environment. Stay ahead of industry trends, regulatory changes, and competitive developments to maintain thought leadership in the AML and financial fraud space. About You: Proven experience in a senior Solutions Consulting or pre-sales leadership role, ideally within the AML, fraud detection, or financial crime technology domain. Demonstrated … success in partnering with sales teams to drive revenue growth. Strong track record of scaling and managing high-performing global teams. Deep understanding of AML, fraud, and financial crime risk management challenges faced by organizations. Exceptional strategic thinking, problem-solving, and communication skills. Experience collaborating with Product, Customer Success, and Implementation teams. Willingness to travel internationally as required. Preferred More ❯

GCP-native integrations. Create ETL/ELT workflows leveraging GCP services including Dataflow, Pub/Sub, BigQuery, and Cloud Storage. Model real-world use cases in Neo4j such as fraud detection, knowledge graphs, and network analysis. Optimize graph database performance, ensure query scalability, and maintain system efficiency. Manage ingestion of large-scale datasets using Apache Beam, Spark, or … regional data residency standards. What You’ll Get: Lead the design of mission-critical data platforms for clients across EMEA. Work on cutting-edge graph-based use cases including fraud detection and knowledge graphs. Hands-on experience with modern cloud-native and open-source technologies. Join a culture of innovation, engineering excellence, and continuous learning. Seniority level Seniority More ❯

vision language models (VLMs) to detect illegal and unsafe products across the Amazon catalog. We work on machine learning problems for generative AI, agentic system, multi-modal classification, intent detection, information retrieval, anomaly and fraud detection. This is an exciting and challenging position to deliver scientific innovations into production systems at Amazon-scale to make immediate, meaningful customer … actors looking to outwit your best ideas. Key job responsibilities • Design and evaluate state-of-the-art algorithms and approaches in generative AI, agentic system, multi-modal classification, intent detection, information retrieval, anomaly and fraud detection. • Translate product and CX requirements into measurable science problems and metrics. • Collaborate with product and tech partners and customers to validate hypothesis More ❯

hybrid About the Company: A super interesting start-up that is on a mission to take on some of the most complex challenges in the field of predictive models, fraud detection, and AI-powered insights. What You’ll Do: As a Senior Data Scientist, you will own the product and lead the development of AI features. You’ll … Building and optimising machine learning models using NLP and graph vector DBs Leveraging big data efficiently to create actionable insights Working with large documents, data infrastructure, and containerization Investigating fraud and ethics reports, transforming raw data into meaningful insights Developing predictive models that go beyond the basics, focusing on real-world applications Using Python to build robust, scalable solutions More ❯

is a platform for advanced analytics and machine learning on connected data. TigerGraph's core technology is the only scalable graph database for the enterprise. Its proven technology supports fraud detection, customer 360, MDM, IoT, AI, and machine learning. Fortune 500 organizations and the most innovative mid-size and startup companies choose TigerGraph to accelerate their analytics, AI … and machine learning: Seven out of the top ten global banks use TigerGraph for real-time fraud detection. Over 50 million patients receive care path recommendations to assist them on their wellness journey. 300 million consumers receive personalized offers with recommendation engines powered by TigerGraph. TigerGraph reduces power outages by optimizing the energy infrastructure for 1 billion people. The More ❯

assessment for MSME customers from a bank or fintech. Strong knowledge of open banking data, financial accounting and analysis. Direct experience with UK SME credit underwriting, including familiarity with fraud detection techniques and red flags in lending, including use of transaction data or pattern-based analysis. Analytical thinking, detail orientation and ability to quickly understand new problems and More ❯

FCA/PRA/BoE regulators, or with regulations and requirements associated with the FCA/PRA/BoE Knowledge and experience of best practice in financial services regulation, fraud detection methodologies, and emerging practice in financial crime and money laundering typologies Good communication skills with the ability to motivate others The ability to exercise oversight, knowledge, and More ❯

and integrate cutting-edge temporal learning strategies. Your work will bridge the gap between foundational models and GNNs, tackling diverse use cases like recommendation systems, customer retention, forecasting, and fraud detection. Leverage your expertise in machine learning and AI to solve critical challenges, creating scalable and adaptable solutions that push the boundaries of what's possible. Get ready to 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 … out our blog to see if you would like to help us prevent crime and protect the world's biggest online businesses. The Team You will be joining the Detection team. The Detection team is responsible for keeping fraud rates low – and clients happy – by continuously training and deploying machine learning models. We aim to make model … deployments as easy and error-free as code deployments. Google’s Best Practices for ML Engineering is our bible. Our models are trained to spot multiple types of fraud, using a variety of data sources and techniques in real time. The prediction pipelines are under strict SLAs; every prediction must be returned in under 300ms. When models are not More ❯

performance software systems using machine learning that identify and prevent fraudulent activity and maintain high trust levels with our customers. Stopping bad actors improves our ability to stop downstream fraud and abuse. The role of the Risk Mining team is to detect and quickly mitigate unique patters of bad actor activity. As a leader of the Risk Mining org … for managing a team of 9 risk specialists directly You will also be leading all process improvements initiatives as a program leader with downstream teams such as Abuse and Fraud detection. Your team will enable analysis of large data sets in partnership with product managers, scientists, and engineers, drive root cause analysis of ever-changing bad actor behaviours and … gaining access to Amazon's platform. Key job responsibilities 1. Provide leadership direction to Risk specialists and Risk mining analyst in managing day to day activities of bad actor detection 2. Develop and help drive the execution of the Risk Mining analyst charter based out of the IN location 3. Navigate an ever-changing risk environment and focus on More ❯

due diligence operations using AI agents, to streamline and strengthen the risk investigations carried out during business customer onboarding and ongoing monitoring. Backed by founders with deep experience building fraud and credit risk models that protect billions in transactions at top European fintechs, our client is revolutionising the way financial institutions verify the legitimacy of businesses. By leveraging advanced … AI-driven risk assessment, they transform unstructured data into powerful, actionable insights, automating manual reviews, enhancing fraud detection, and improving the onboarding experience for legitimate businesses. Already partnering with leading fintech unicorns and major banks, they are growing rapidly and are looking for ambitious, mission-driven individuals who are excited about using cutting-edge technology to combat financial More ❯

due diligence operations using AI agents, to streamline and strengthen the risk investigations carried out during business customer onboarding and ongoing monitoring. Backed by founders with deep experience building fraud and credit risk models that protect billions in transactions at top European fintechs, our client is revolutionising the way financial institutions verify the legitimacy of businesses. By leveraging advanced … AI-driven risk assessment, they transform unstructured data into powerful, actionable insights, automating manual reviews, enhancing fraud detection, and improving the onboarding experience for legitimate businesses. Already partnering with leading fintech unicorns and major banks, they are growing rapidly and are looking for ambitious, mission-driven individuals who are excited about using cutting-edge technology to combat financial More ❯

At Outseer we are empowering our customers to liberate the world from digital fraud. Our market-leading enterprise fraud and authentication platform is used by thousands of financial institutions around the world to protect millions of customer accounts and billions of transactions annually. Leveraging proven data science, including our proprietary consortium data, our customers use our risk-based, machine … learning platform to deliver the highest fraud detection rates, lowest false positive rates, and lowest customer intervention in the industry. We stop fraud, not customers. See what others can't at What you'll achieve: The Account Manager is responsible for driving revenue growth, focusing on Corporate Accounts, by renewing and expanding the book of business across … play a pivotal part in driving revenue by identifying, qualifying, and securing new opportunities while strengthening relationships with existing clients. Your mission is to empower businesses to combat online fraud effectively, safeguarding them from financial and reputational risks. You will develop a robust pipeline, execute a strategic client expansion plan, and cultivate value-driven relationships with stakeholders at all 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 … be a Software Engineer at Ravelin! The Role We are currently looking for Software Engineers to join our Engineering team and contribute to the development of a high volume fraud technology platform. You will be encouraged to have opinions about the direction of our products, as well as having ownership and contributing new ideas. In the day-to-day More ❯

optimization, and much more. FICO makes a real difference in the way businesses operate worldwide: • Credit Scoring - FICO Scores are used by 90 of the top 100 US lenders. • Fraud Detection and Security - 4 billion payment cards globally are protected by FICO fraud systems. • Lending - 3/4 of US mortgages are approved using the FICO Score. More ❯

applications more efficiently and cost-effectively than alternative approaches. The C3 AI Platform supports the value chain in any industry with prebuilt, configurable, high-value AI applications for reliability, fraud detection, sensor network health, supply network optimization, energy management, anti-money laundering, and customer engagement. Learn more at: C3 AI We are looking for a Site Reliability Engineer More ❯

optimization, and much more. FICO makes a real difference in the way businesses operate worldwide: • Credit Scoring - FICO Scores are used by 90 of the top 100 US lenders. • Fraud Detection and Security - 4 billion payment cards globally are protected by FICO fraud systems. • Lending - 3/4 of US mortgages are approved using the FICO Score. More ❯

in the heart of Berlin. And we’re looking for more talented and committed people to join us on our journey! ABOUT THE ROLE ️ Are you a payments and fraud monitoring expert who thrives in fast-paced environments where every transaction tells a story? Do you want to be part of a team that's building real-time defenses … to help drive that mission forward. This is a remote role , open to candidates based in Europe or Cyprus , with a fixed daytime shift — ideal for individuals experienced in fraud detection, real-time payment monitoring, and incident management. Shift information : This role follows a fixed schedule , five days per week , including both weekdays and weekends as part of … DO Payments Monitoring & Real-Time Alert Response Monitor live card transactions, payment flows, and behavioral patterns to identify suspicious activity such as phishing, brute force attacks, velocity anomalies, and fraud rings . Respond to live fraud and system alerts, triage incidents, and execute rapid investigations. Define and improve alert thresholds, logic, and rule-based or statistical models to More ❯

AWS Architect (SageMaker) Fraud Detection Startup (UK Remote) Location: UK (Remote) Salary: £70,000 £75,000 + Equity Job Type: Full-time, Permanent About Us My client is fraud detection/manipulation startup on a mission to protect businesses and consumers from digital fraud in real-time. Using cutting-edge machine learning and scalable cloud … infrastructure. The Role As our AWS Architect, youll play a key role in designing, building, and optimising our cloud environment to support advanced machine learning models and real-time fraud detection capabilities. Your Responsibilities: Architect and implement scalable AWS solutions with a focus on SageMaker for training, deploying, and managing ML models. Work closely with data scientists and … Familiarity with DevOps and MLOps tools and principles. Solid knowledge of cloud security and cost optimisation. Excellent communication skills and a proactive, problem-solving mindset. Bonus: Experience working in fraud detection, fintech, or startup environments. What We Offer: Competitive salary of £70,000 £75,000 per year Equity package share in the future success of the company Fully More ❯

per day, outside IR35** Very technical project reporting into the Group CTO and VP Engineering for an insurance business. You'll be working in a regulated environment on a fraud detection project, so experience working in KYC/AML/Fraud is a big bonus here. Someone who has worked in BIFS with large sets of consumer More ❯

per day, outside IR35** Very technical project reporting into the Group CTO and VP Engineering for an insurance business. You'll be working in a regulated environment on a fraud detection project, so experience working in KYC/AML/Fraud is a big bonus here. Someone who has worked in BIFS with large sets of consumer More ❯

About Us Hawk is the leading provider of AI-supported anti-money laundering and fraud detection technology. Banks and payment providers globally are using Hawk’s powerful combination of traditional rules and explainable AI to improve the effectiveness of their AML compliance and fraud prevention by identifying more crime while maximizing efficiency by reducing false positives. With … our solution, we are playing a vital role in the global fight against Money Laundering, Fraud, or the financing of terrorism. We offer a culture of mutual trust, support and passion – while providing individuals with opportunities to grow professionally and make a difference in the world. Your Mission: We are currently looking for a dedicated and experienced Account Executive … connect with prospects, clients, and partners Requirements: 3-5 years of relevant sales experience, particularly in selling SaaS solutions into the banking sector Prior experience in compliance, AML, and fraud is a significant advantage Possess a strong understanding of the company, business, brand, and products, along with the ability to position our solutions effectively in the market Display a More ❯

on one of their most critical capabilities: intelligent, scalable risk and credit decisioning . This is a core pillar of the business, powering everything from onboarding and pricing to fraud detection and customer experience. They're now hiring a dedicated Lead Product Manager to take ownership of this area and help build the company's next-generation risk … and scaling fast - sustainable business model, clear product-market fit, and strong investor backing What we're looking for: ️ 5+ years of Product Management experience ️ Experience in risk, credit, fraud , or other fintech infrastructure domains ️ Fluent in backend systems & confident working closely with engineers and data scientists ️ Strong commercial and analytical instincts ️ Excellent communicator and influencer, able to align More ❯

compliance, preventing copyright infringement , and protecting the integrity of our relationships with partners, rights holders, and DSPs. Key Responsibilities Monitoring & Audit Monitor and investigate suspicious activities flagged by our fraud detection systems or reported by our DSP partners. Evaluate these activities and take both preventative and corrective actions. Communicate with clients to report issues and violations, and educate … novel cases and situations based on fundamental principles. Excellent communication and conflict resolution abilities. Preferred Qualifications Familiarity with music rights. Familiarity with DSP policies (YouTube Content ID, Spotify anti-fraud, etc.) and industry compliance standards. Experience in music distribution, label operations, or with a digital aggregator. Knowledge of rights management tools (e.g., ACRCloud, BMAT, rights databases). Legal background More ❯