26 to 50 of 64 Fraud Detection Jobs in England

/7 support, and reduce wait times. Sentiment Analysis: Use AI to analyze customer feedback and sentiment from various channels to improve services. 2. Fraud Detection and Prevention Real-Time Monitoring: Implement AI algorithms to detect and flag unusual transactions in real-time. Predictive Analytics: Use machine learning … models to predict potential fraud based on historical data and behavioural patterns. 3. Loan Processing Automation Credit Scoring: AI can evaluate creditworthiness more accurately by analyzing a wider range of data points. Document Verification: Automate the verification of documents submitted for loan applications, speeding up the approval process. 4. More ❯

risk modelling, and data insights. What you'll do Define and execute: Own the roadmap for risk decisioning infrastructure , enabling scalable, automated credit and fraud decisioning. Product lifecycle ownership: Drive product development from concept to execution, including defining requirements, managing trade-offs, and prioritising technical work. Strategic partnership: Collaborate … our risk systems. Enhance and refine: Drive improvements to priority risk models , exploring opportunities to leverage LLMs (Large Language Models ) for enhanced credit decisioning, fraud detection, and risk evaluation. Integrate cutting-edge: Incorporate new and innovative fraud data sources to enhance risk assessment and decision-making. Leverage More ❯

risk modelling, and data insights. What you'll do Define and execute: Own the roadmap for risk decisioning infrastructure , enabling scalable, automated credit and fraud decisioning. Product lifecycle ownership: Drive product development from concept to execution, including defining requirements, managing trade-offs, and prioritising technical work. Strategic partnership: Collaborate … our risk systems. Enhance and refine: Drive improvements to priority risk models , exploring opportunities to leverage LLMs (Large Language Models ) for enhanced credit decisioning, fraud detection, and risk evaluation. Integrate cutting-edge: Incorporate new and innovative fraud data sources to enhance risk assessment and decision-making. Leverage More ❯

associated with payment processes across the bank. This role ensures that payment operations comply with regulatory requirements and internal risk frameworks while implementing robust fraud prevention measures. The Payment Risk Manager will lead a team, develop risk strategies, and collaborate with stakeholders to maintain the security and integrity of … communication and interpersonal skills, with a customer-first mindset. Familiarity with payment processing systems and digital banking platforms. Extensive experience in payment risk management, fraud prevention, or financial crime within banking or financial services. Strong knowledge of UK banking regulations, including FCA, PSD2, AML, and financial crime compliance. Experience … channels, including Faster Payments, CHAPS, Bacs, SWIFT, and Open Banking. Ensure compliance with regulatory requirements such as FCA, PSD2, AML, and Payment Services Regulations. Fraud Prevention & Financial Crime Risk Management: Oversee fraud detection and prevention measures across all payment channels. Work closely with fraud and financial More ❯

LONDON A fast-growing fintech lender is seeking a high-calibre Head of Data Science to lead their data-driven strategies across credit scoring, fraud prevention, and collections. This senior leadership role offers the chance to shape a next-generation lending platform in a high-growth environment backed by … driven approach to lending. THE ROLE As Head of Data Science, your day-to-day responsibilities include but are not limited to: Leading credit, fraud, and collections analytics across the credit lifecycle Designing scalable data science models to improve lending performance Enhancing acceptance rates while maintaining strong credit quality … Developing fraud detection techniques using cutting-edge algorithms Owning collections strategy and driving recovery improvements Collaborating with teams across product, risk, operations, and compliance SKILLS AND EXPERIENCE 5+ years in data science or credit analytics in a financial service or fintech environment Strong background in credit risk and More ❯

and an interest in the evolving payments landscape. Key Responsibilities: ? Conduct underwriting reviews for new and existing merchants ? Analyse transaction patterns, chargeback ratios, and fraud indicators ? Identify high-risk industries and merchants, applying enhanced due diligence ? Collaborate with compliance and legal teams on regulatory adherence ? Make data-driven recommendations … behaviour ? Work cross-functionally with Sales, Compliance, and Operations teams What We're Looking For: 2+ years of experience in underwriting, risk analysis, or fraud prevention (payments or financial services industry preferred) Strong understanding of card payment processing and merchant acquiring Proficiency in risk assessment tools, fraud detection More ❯

including AML and sanctions. The ideal candidate has a deep understanding of cryptocurrency, blockchain technology, and transaction analytics, along with experience in forensic investigations, fraud detection, and financial crime risk assessment. This role will be part of my clients Cryptocurrency Investigations and Compliance team, supporting the firm's … continued growth in the crypto sector. Key Responsibilities: Conduct cryptocurrency and blockchain investigations, including fraud, asset misappropriation, market manipulation, and sanctions evasion. Utilize blockchain analytics to trace transactions and assess fund movements. Collaborate on client alerts and thought leadership on cryptocurrency topics. Prepare reports, workpapers, and presentations to communicate … cryptocurrency and FinTech businesses on AML, KYC, transaction monitoring, and regulatory compliance. Maintain industry relationships for business development and networking. Support AML, sanctions, and fraud risk assessments for crypto/Web3 business models. Conduct research on regulatory requirements, including BSA/AML regulations and FinCEN guidelines. Develop and deliver More ❯

paced and changing environment, who likes to work autonomously, enjoys a challenge and wants to make an impact. Accountabilities Develop and maintain models for fraud detection, image validation, recommendations and other ML use cases, both batch and real time Discover and prioritise new use cases for data science 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 … 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 More ❯

an AI-driven observability and automation platform, leveraging: Telemetry ingestion (Kafka, OpenTelemetry, Fluentd). Streaming analytics (Flink, Spark, CEP engines). AI-driven anomaly detection & automation (AutoGPT, LangChain, MLflow, TensorFlow). Define technical requirements and architecture priorities for engineering teams. Partner with data scientists to improve AI-driven predictive … analytics, anomaly detection, and root cause analysis. Collaborate with banks, trading firms, and financial services IT teams to understand operational challenges. Develop use cases for AI-driven observability, fraud detection, self-healing infrastructure, and compliance monitoring. Work closely with sales and customer success teams to drive adoption … observability, AI automation, AIOps, or IT operations for financial services. Deep understanding of banking IT architectures, including trading systems, core banking, risk management, and fraud detection. Experience working with AI-driven monitoring, predictive analytics, or automation tools. Experience defining and executing product roadmaps, from idea to launch and scale. More ❯

ML) has been a strategic focus for Amazon since its early days. 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 More ❯

ll collaborate with our Product, Engineering, and Commercial teams to build predictive models and data-driven solutions that power everything from eligibility checks to fraud detection, pricing, and beyond. Here's what you'll get up to: Get to grips with our data platform and begin contributing to … models that power core business decisions. Work on projects that span multiple areas, including pricing, risk assessment, and behavioural fraud detection. Build, deploy, and iterate on data models that bring clear and measurable value to our business. Collaborate with Engineering, Product, and Commercial teams to deliver data-driven products More ❯

incentivization programs to shift customer behavior from COD to prepaid payment. Partner with Data Science teams to implement ML models for returns optimization and fraud prevention. Implement AI/ML solutions for return fraud detection and prevention. Work cross-functionally with Engineering, Product, and Operations teams to More ❯

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 More ❯

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. More ❯

the first Head of Data Science, you'll take full ownership of the data science roadmap. From credit risk modelling and pricing optimisation to fraud detection and customer behaviour analysis-you'll be at the heart of every critical decision. THE ROLE Design, build, and deploy models to … drive Fraud, Collections, scorecards, underwriting, risk, and pricing decisions Collaborate closely with Engineering, Product, and Ops to ship real-world impact Define our approach to data strategy, experimentation, and model governance RESPONSIBILITIES 5+ years of experience in a data science or machine learning role Deep knowledge of credit risk More ❯

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 … 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 More ❯

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 … 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 More ❯

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 More ❯

and submit Suspicious Activity Reports (SARs) in accordance with UK FCA regulations. Assist in the refinement of transaction monitoring rules and thresholds to improve detection accuracy. Collaborate with the Compliance and Risk teams to enhance fraud prevention strategies. Maintain proper documentation of all investigations and monitoring activities. Stay … updated on relevant regulatory requirements, AML/CFT guidelines, and industry best practices. Requirements 3+ years of experience in transaction monitoring, AML compliance, fraud detection, or a similar role in the financial services, fintech, or crypto industry. Strong understanding of UK FCA regulations, AML laws, and compliance requirements More ❯

and submit Suspicious Activity Reports (SARs) in accordance with UK FCA regulations. Assist in the refinement of transaction monitoring rules and thresholds to improve detection accuracy. Collaborate with the Compliance and Risk teams to enhance fraud prevention strategies. Maintain proper documentation of all investigations and monitoring activities. Stay … updated on relevant regulatory requirements, AML/CFT guidelines, and industry best practices. Requirements 3+ years of experience in transaction monitoring, AML compliance, fraud detection, or a similar role in the financial services, fintech, or crypto industry. Strong understanding of UK FCA regulations, AML laws, and compliance requirements 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 … 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 … 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 More ❯

while working directly with the founders. What you'll do: Own the data science roadmap and team structure Build and productionise models (pricing, recommendations, fraud detection) Collaborate across product and engineering Deliver insights to guide strategy and growth What we’re looking for: Proven leadership in data science More ❯

while working directly with the founders. What you'll do: Own the data science roadmap and team structure Build and productionise models (pricing, recommendations, fraud detection) Collaborate across product and engineering Deliver insights to guide strategy and growth What we’re looking for: Proven leadership in data science More ❯

decks (xBR, Peak, Contingency) as well as Analytics solutions including development of tools and defect attribution bridges; Build science artefacts in realm of forecasting, fraud detection, work productivity improvements and other areas to drive Ops performance; Drive analytics-led continuous improvements programs in realm of Ops defect reduction More ❯