1 to 25 of 62 Permanent Fraud Detection Jobs in London

Strategy Analyst - Fraud Team Hybrid in London, UK The company Fast, flexible finance empowers small businesses to manage their cash flow better and seize opportunities - making their business and the economy stronger as a whole. At iwoca, we do just that. We help businesses get the funds they need … ever more relevant and accessible to more businesses by combining cutting-edge technology, data science, and a 5-star customer service. The team The Fraud team owns iwoca's fraud strategy, analytics and tech systems. The team optimises iwoca's fraud decisioning, balancing robust fraud detection … role combines strategic and analytical thinking. The successful candidate will conceive, manage and deliver projects that use data to identify changes to iwoca's fraud strategy to balance fraud detection with customer conversion. The role requires good collaboration, working closely with our engineers and Team Lead, as More ❯

Financial Crime Operations Manager to lead first-line financial crime operations. This role focuses on KYC, customer due diligence (CDD), transaction monitoring (TM), and fraud investigations, ensuring regulatory compliance and effective risk mitigation. This strategic role will oversee enhanced due diligence (EDD), fraud prevention, transaction monitoring and investigations … Conduct transaction monitoring investigations and escalate cases requiring compliance review or external reporting (e.g., SARs). Manage transaction monitoring systems, fine-tuning thresholds and detection rules for improved fraud identification. Analyse transaction patterns to detect suspicious activity, money laundering schemes, and fraud risks. Develop and implement fraud prevention frameworks, policies, and risk mitigation strategies. Fraud Detection & Risk Management Leverage AI-driven fraud detection tools, data analytics, and forensic techniques. Monitor emerging fraud trends and enhance risk strategies accordingly. Collaborate with industry peers and law enforcement agencies to improve fraud intelligence 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 …/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 More ❯

some exciting projects coming up and we've got big growth plans. Want to join us? The role We are looking for a Senior Fraud Strategy Manager who develops and implements strategies to prevent and detect fraud, collaborating with teams like Credit Risk and Engineering. They monitor fraud trends, lead a team of analysts, and coordinate with external partners to ensure effective case resolution. The role also includes reporting on fraud metrics to Zilch's leadership and using data analytics to improve detection methods, safeguarding both the company and its customers. Day-to-day responsibilities … Help shape, develop, and execute Zilch's fraud management framework and strategy. Monitor and stay on top of fraud trends and emerging threats, collaborating with Credit Risk, Product, and Engineering teams to implement proactive measures to minimize fraud losses. Be aware of new fraud trends in More ❯

Web3 and digital ownership. Location supported This role can be performed in London or remotely from the United Kingdom About the Opportunity As a Fraud Strategy Lead, you will play a key role in safeguarding the integrity of MoonPay's platform and clients by identifying and mitigating fraud risks across our suite of products and services. You will be responsible for developing and enhancing fraud detection and risk mitigation strategies, with a focus on identity fraud, payments fraud, account takeover (ATO) and fraud incident investigation, all while ensuring that decisions are based … on robust analytics and large-scale data sets. Using data-driven insights, you will develop a deep understanding of MoonPays fraud prevention capabilities and collaborate with cross-functional teams including data science, security, compliance, product, and engineering to implement effective solutions. This is an excellent opportunity to leverage your More ❯

of the Forensics & Integrity Services, our Forensic Data Analytics team provides advanced analytics services to support high profile and sensitive client matters such as fraud investigations, financial crime, disputes and litigations. Our work involves developing data and analytics solutions to regularly ingest and monitor data to detect regulatory and … compliance risks such as fraud, bribery and corruption, money laundering, sanctions breaches, know your customer failings (KYC), price fixing, mis-selling of financial products, employee misconduct, trader, and market abuse (surveillance), and much more. This is achieved by combining deep forensic investigation knowledge with advanced data engineering and data … investigative data linking, social network analysis, statistics, machine learning and large language models. About the role: We are seeking a dynamic and experienced Senior Fraud Analyst to join our team. In this role, you will work closely with financial services clients to identify and analyse emerging fraud trends More ❯

financial services. With a strong focus on customer experience, innovation, and security, we are committed to maintaining the trust of our users through robust fraud prevention and detection frameworks. Role Overview As a Fraud Manager, you will lead a team responsible for identifying, investigating, and mitigating fraud risks across our digital banking products and services. You will play a key role in shaping fraud strategy, implementing proactive controls, and enhancing our fraud monitoring capabilities. Key Responsibilities Lead the fraud detection and prevention team, ensuring effective monitoring and investigation of suspicious activities. Develop … and implement fraud risk management strategies and policies aligned with regulatory requirements and industry best practices. Utilize data analytics, rules engines, and machine learning models to detect unusual patterns and prevent fraudulent transactions. Collaborate with Product, Engineering, Customer Service, Compliance, and Legal teams to enhance fraud controls across More ❯

customers for PEP and sanctions to identify and mitigate financial crime risks Collaborate with internal teams including compliance, engineering, and customer support to strengthen fraud detection and prevention measures Enhance fraud detection systems by identifying process gaps and recommending system improvements Contribute to process improvements and … help shape the future of Emma's financial crime prevention strategy Who we are looking for: 2+ years of experience in Fraud, AML, KYC, or related operational roles within financial services or fintech Experience with KYC checks and screening customers for PEP and sanctions lists Strong technical skills in … under pressure Customer-centric mindset with excellent communication skills to handle sensitive customer inquiries Proven ability to collaborate with cross-functional teams to improve fraud detection and operational efficiency Adaptability and flexibility to thrive in a fast-paced fintech environment and support weekend coverage as required Passion for More ❯

impact, you'll thrive here at Zopa. Join us and make it count. Want to see us in action? Follow us on As a Fraud Team Leader at Zopa, you will manage the day-to-day operations of the fraud team, alongside the Senior Fraud and Fraud Managers. This role requires a keen eye for detail when reviewing cases, excellent communication and collaboration skills, extensive knowledge of fraud operations and processes, and a strong understanding of regulations and laws. This is a hybrid role - the team works in the office on Tuesdays and Thursdays. Your … support throughout the day. Review and approve complex cases, offering clear rationale and escalating when necessary. Act as a point of contact for the fraud team, supporting new joiners and coordinating training with the Senior Fraud Specialist or team members. Manage and run weekly team meetings with the More ❯

way-but there's still an exciting journey ahead. Join us at the heart of trust. We're looking for a curious and analytical Fraud Detection Analyst to join our global Fraud & Investigations team. You'll analyse data, spot patterns, and write detection rules that help … stop fraud in its tracks - playing a vital role in protecting consumers, businesses, and the integrity of our platform. You'll work on complex, often ambiguous challenges in the ever-evolving world of online trust. If you love solving problems, diving into data, and making a real difference - this … we're driving change across the business-and working to make Trustpilot the universal symbol of trust online. What you'll be doing: Identify fraud trends and curate a deep understanding of fraudulent behavior on our platform via expert use of SQL, Google BigQuery, and Google Looker. Formulate rules More ❯

embed financing in their customer journeys, and we are building the solutions that will power that future. The Role: We're seeking a Credit Fraud Strategy Manager with strong experience in credit fraud detection and prevention to lead and enhance our strategic approach to managing fraud risk. In this role, you'll take ownership of our fraud strategy across all operating regions (currently the UK, EU and US), ensuring the right balance between loss mitigation and customer experience by minimising false positives and reducing unnecessary friction. You'll work closely with our fraud operations and underwriting teams to evaluate current fraud exposures, assess the effectiveness of our controls, monitor performance, and implement improvements that strengthen our fraud defences. Responsibilities: This is a high-impact role where you'll help shape the future of fraud prevention at YouLend, ensuring robust More ❯

access via St Paul's, Bank, Cannon Street, City Thameslink, Liverpool Street, Farringdon, Mansion House stations. The impact you will have: Conduct analysis of fraud and money-laundering trends and risk controls. Analyze crypto market trends and controls. Liaise with the IT support team to ensure proper functioning and … actions. Assist in the administration, maintenance, and development of transaction event monitoring systems. Provide risk management services to cross-functional teams. Support Investigations and Fraud Detection Teams with data analysis and reporting. Research evolving fraud detection technologies and promote knowledge sharing. Adjust and review risk system … rules to manage fraud risk levels in compliance with Visa, MasterCard, or third-party providers. Create data extracts and perform detailed pattern analysis to estimate impacts. What we're looking for: University degree in Mathematics, Statistics, Economics, or a similar field. 3+ years experience in risk and fraud More ❯

excellence. This is an exciting opportunity to work in a dynamic, fast-paced environment, where data science plays a crucial role in risk management, fraud detection, customer behavior analytics, and automation of financial processes. In this role, you will apply machine learning, advanced statistical techniques, and large-scale … teams to deploy scalable, data-driven solutions that fuel business growth. Key Responsibilities: Develop and deploy machine learning models to optimise credit risk assessment, fraud detection, and transaction automation. Analyse large datasets to extract meaningful insights and drive data-informed decision-making. Enhance our data pipelines and machine More ❯

SWIFT banking services and third-party APIs ✔ Optimise and manage relational (PostgreSQL/MySQL) and NoSQL databases ✔ Work with large datasets for risk modelling, fraud detection, and automation ✔ Ensure compliance with financial security & regulatory standards ✔ Deploy and manage applications on Azure (Functions, CI/CD pipelines, test automation … protocols 🔹 Knowledge of Azure Functions 🔹 Frontend skills ( React, Vue, or Angular ) for full-stack contributions 🔹 Exposure to machine learning/AI for risk/fraud detection How to Apply To be considered, please submit your CV via the Computappoint website . Services offered by Computappoint Limited are those More ❯

days per week UK-based role with future European remit Are you ready to take ownership of high-value claims initiatives that balance fraud detection with customer satisfaction? Do you thrive in transforming processes, influencing 3rd party vendors, and delivering better outcomes for both customers and businesses? Would … handling - diving into complex cases to assess outcomes and sharing insights to drive better decisions Leading the cultural shift across vendor relationships to balance fraud detection with exceptional service Tackling rework rates and friction in the customer journey with a root-cause, improvement-led mindset Partnering with senior … insurance oversight or claims validation , ideally within regulated markets Experience partnering with third-party vendors to drive performance and ensure compliance Strategic awareness of fraud prevention , combined with a passion for improving customer journeys Confidence engaging with stakeholders at all levels and leading projects independently A proactive, solutions-focused More ❯

teams by handling internal and external audit requests related to Risk System tools. Assisting the rest of the team with escalations and mitigating emerging fraud trends. Conducting analysis of fraud and money-laundering trends and risk controls between Consumer, Merchant and Crypto areas. Collaborating with the Machine Learning … team to drive a model-first culture, leveraging data-driven models to enhance risk detection and decision-making. Being the point of contact for cross-functional teams, including Product, Engineering, Sales and Finance, to address risk system-related inquiries and ensure seamless collaboration. Supporting the Investigations and Fraud Detection Teams, as needed, in areas such as data analysis and reporting. Driving the implementation, adjustment, and ongoing review of rules within the risk system while ensuring that these changes align with our KPIs and metrics, maintaining consistent performance while mitigating fraud risks effectively. Working with the More ❯

customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, About the team: You will … be part of a team who use global data from the largest real-time fraud detection platform to craft solutions for our enterprise customers. About the role: Your experience with data analysis, statistical modelling, and machine learning will lead to immediate real-world impact in the form of … lower customer friction, reduced fraud losses and as a result, increased customer profitability. You'll leverage a real-time platform analysing billions of transactions per month for some of the largest companies operating in Financial Services, Insurance, e-Commerce, and On-Demand Services. These tools will allow you to More ❯

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 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 ❯

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 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 ❯

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 ❯

decision-making using AI, machine learning, and optimization. FICO makes a difference worldwide: Credit Scoring - Used by 90 of the top 100 US lenders. Fraud Detection - Protects 4 billion payment cards globally. Lending - Used in 75% of US mortgages. Join us to be part of a diverse, inclusive 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 ❯