13 of 13 Permanent Fraud Detection Jobs in the UK excluding London

Deep understanding of identity and access management (IAM) solutions, including technologies like federation, single sign-on (SSO), multi-factor authentication (MFA), and entitlement management. Fraud Detection: Familiarity with fraud detection systems, including rules engines, threat modelling, and risk assessment. Knowledge of emerging cybersecurity threats and vulnerabilities … the ability to assess and mitigate risks associated with digital identity verification. Ability to identify and solve complex problems related to identity verification and fraud prevention. Strong communication and interpersonal skills to effectively communicate with stakeholders, including business users, technical teams, and external partners. Ability to influence stakeholders and More ❯

cultivate an idea-rich atmosphere where innovation thrives, and every voice is heard. Whether it be assessing claims severity, streamlining the claims journey or fraud detection the opportunities to leverage data for transformation are endless. Our work spans a variety of approaches, dealing with both structured and unstructured More ❯

Snowflake (or comparable) cloud data warehousing environments Ability to develop compelling data visualizations using tools like Tableau Bonus if you have experience with Python, fraud detection, A/B testing methodologies, or AI tools that enhance your workflow. Don't meet every single requirement but excited about the More ❯

cultivate an idea-rich atmosphere where innovation thrives, and every voice is heard. Whether it be assessing claims severity, streamlining the claims journey or fraud detection, the opportunities to leverage data for transformation are endless. Our work spans a variety of approaches, dealing with both structured and unstructured More ❯

digital media, and performing forensic analysis following best practices and procedures. You will play a significant role in developing and implementing strategies for effective detection and response to cyber threats, coordinating investigative efforts across all business units. Additionally, you will ensure all findings are documented and communicated effectively to … stakeholders, assist in enhancing detection analytics capabilities, including risk scoring and key indicators, and ensure adherence to response escalation processes and investigative protocols. Your profile Knowledge and experience of cyber intelligence, forensic analysis, and data analytics Knowledge and experience with digital forensic tools and techniques Knowledge and experience conducting … cyber investigations and potential threats Knowledge and experience working within security operations, fraud detection, or cyber intelligence Knowledge and experience with Digital Guardian, Defend Point, Nessus, Trelix, and Axon Forensics Knowledge of anomaly detection and behaviour analytics Knowledge and experience developing and implementing strategies for effective detection More ❯

architecture to power the real-time economy. AI & Data-Driven Decision Making - Establishing AI Incubator & Labs teams to explore how AI can enhance payments, fraud detection, and customer experiences. The Greenfield US Bank Initiative - Building a new event-streamed bank from the ground up, leveraging the latest in More ❯

engineering practices Foster a culture of collaboration, accountability, and high performance Define, track, and drive key success metrics for team performance, system reliability, and fraud detection effectiveness, ensuring measurable business impact Manage the delivery of major initiatives and balance delivery with sustainable engineering practices Work closely with Product More ❯

tps 24/7. Some of Your Key Responsibilities Essential Functions As a Software Engineer you will help design, enhance, and build next generation fraud detection platforms in an agile development environment. You will play part of multiple teams tasked with projects ranging from backend development, Rest based … is required, Knowledge of Code Coverage tools like Ecl/Emma or SonarQube are desired. Experience in card industry or fintech delivering solutions in fraud, risk or payments space will be added advantage. Experience in developing large scale, enterprise class distributed systems of high availability, low latency, & strong data More ❯

architecture to power the real-time economy. AI & Data-Driven Decision Making - Establishing AI Incubator & Labs teams to explore how AI can enhance payments, fraud detection, and customer experiences. The Greenfield US Bank Initiative - Building a new event-streamed bank from the ground up, leveraging the latest in More ❯

features globally recognized brands such as Coca-Cola, Nestlé, Elemis, Homebase, and Procter & Gamble. Role Overview The ML Manager (Operations) leads multiple squads covering Fraud, Customer Experience (CX), and Logistics. You will oversee a cross-functional team focused on leveraging machine learning to enhance business operations, including developing AI … driven solutions for fraud detection, customer support, and logistics optimization. Key Responsibilities Lead, mentor, and manage a team of machine learning professionals. Define and execute the machine learning strategy aligned with business goals. Oversee the entire lifecycle of ML projects from conception to deployment and monitoring. Guide the More ❯

PER WEEK) 6 MONTHS THE COMPANY: A leading market research company is looking for a Business Analyst to support with the documentation of a fraud detection software product. THE ROLE: As a Business Analyst, your key responsibilities will include: Reverse engineering the software product to understand functionality, logic … tasks in Jira. YOUR SKILLS AND EXPERIENCE: Proven experience as a Business Analyst working closely with Software Engineers and Data Scientists. Background in a fraud-sensitive environment. Ability to operate in ambiguous environments, building structure from a blank slate. Experience using Jira and Confluence. Market research industry experience is More ❯

Their world-leading Graph Platform powers mission-critical applications for Fortune 500 companies, including Deutsche Bank, Walmart, NASA, JP Morgan, and AT&T. From fraud detection to real-time product recommendations, their technology is at the heart of cutting-edge innovations. As they expand globally, they are seeking More ❯

Their world-leading Graph Platform powers mission-critical applications for Fortune 500 companies, including Deutsche Bank, Walmart, NASA, JP Morgan, and AT&T. From fraud detection to real-time product recommendations, their technology is at the heart of cutting-edge innovations. As they expand globally, they are seeking More ❯