1 to 25 of 170 Fraud Detection Jobs in England

FinCrime) department within the banking domain. The ideal candidate will have experience working with large datasets, developing insightful reports and dashboards using Tableau, Power BI, and Matplotlib, and supporting fraud detection, anti-money laundering (AML), and other financial crime risk initiatives. Job Title: Data Analyst – FinCrime (Banking Domain) Location: Gurgaon, Bangalore, Chennai - India Experience: 7+ Years Job Type … FinCrime) department within the banking domain. The ideal candidate will have experience working with large datasets, developing insightful reports and dashboards using Tableau, Power BI, and Matplotlib, and supporting fraud detection, anti-money laundering (AML), and other financial crime risk initiatives. Key Responsibilities Design and develop BI dashboards and reports using Tableau, Power BI, and Matplotlib to support … FinCrime investigations and decision-making. Analyze and interpret large financial datasets to identify suspicious activities, fraud patterns, and potential financial crime risks. Collaborate with compliance, risk management, and fraud prevention teams to improve data-driven insights for FinCrime monitoring. Extract, transform, and analyze structured and unstructured data from banking systems and external sources. Support the development of machine More ❯

claims solutions we support end-to-end claims handling with analytics and automation tools that streamline workflow, improve claims management and support better customer experiences. We also provide a fraud detection service across multiple perils and lines of business. Using intel processing, real-time fraud analysis and image forensics we help detect fraud at every stage More ❯

maximize operational efficiencies, and improve 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, risk.lexisnexis.com About the team: You will be leading and coaching … a team of early career data analysts to use global data from the largest, real-time fraud detection platform to craft solutions for our enterprise customers and deliver against strategic projects. About the role : Your experience with data analysis, fraud and technology will lead to immediate real-world impact in the form of lower customer friction, reduced … fraud losses and as a result, increased customer profitability. Alongside management duties you will lead by example and retain a 40% hands-on component in this customer-facing role. You will promote and maximise the value of our data by collaborating with engagement managers and external business leaders. The comprehensive solutions that you and your team build will go More ❯

claims solutions we support end-to-end claims handling with analytics and automation tools that streamline workflow, improve claims management and support better customer experiences. We also provide a fraud detection service across multiple perils and lines of business. Using intel processing, real-time fraud analysis and image forensics we help detect fraud at every stage More ❯

wrangling to compose meaningful feature and clean sets, and modelling using Machine Learning. You'll develop and deploy machine learning models that power real-world decisions - from underwriting to fraud detection to optimise customer conversion. This is an end-to-end role: data wrangling, model development, evaluation, and performance monitoring. As a Data Scientist, you'll play a More ❯

business challenges, design and implement data-driven solutions, and provide actionable insights that drive business value. Your ability to address challenges specific to financial services, such as risk modeling, fraud detection, and regulatory compliance, will be a critical asset. #LI-DNI Responsibilities Support financial services clients with the definition and implementation of their AI strategy, focusing on areas … an emphasis on regulatory compliance (e.g., Basel III, GDPR) and ethical AI principles Ideate, design and implement AI-enabled solutions for financial services use cases, such as credit scoring, fraud detection, customer segmentation and predictive modeling Lead the process of taking AI/ML models from development to production, ensuring robust MLOps practices tailored to financial data environments … MiFID II or the EU AI regulatory framework Deep understanding of LLMs and their application in areas like financial document analysis, customer service chatbots or regulatory reporting Expertise in fraud detection techniques, anomaly detection and compliance analytics Strong understanding of ML Ops principles and experience in deploying and managing AI/ML models in financial systems Proficiency More ❯

business challenges, design and implement data-driven solutions, and provide actionable insights that drive business value. Your ability to address challenges specific to financial services, such as risk modeling, fraud detection, and regulatory compliance, will be a critical asset. #LI-DNI Responsibilities Support financial services clients with the definition and implementation of their AI strategy, focusing on areas … an emphasis on regulatory compliance (e.g., Basel III, GDPR) and ethical AI principles Ideate, design and implement AI-enabled solutions for financial services use cases, such as credit scoring, fraud detection, customer segmentation and predictive modeling Lead the process of taking AI/ML models from development to production, ensuring robust MLOps practices tailored to financial data environments … MiFID II or the EU AI regulatory framework Deep understanding of LLMs and their application in areas like financial document analysis, customer service chatbots or regulatory reporting Expertise in fraud detection techniques, anomaly detection and compliance analytics Strong understanding of ML Ops principles and experience in deploying and managing AI/ML models in financial systems Proficiency More ❯

business challenges, design and implement data-driven solutions, and provide actionable insights that drive business value. Your ability to address challenges specific to financial services, such as risk modeling, fraud detection, and regulatory compliance, will be a critical asset. #LI-DNI Responsibilities Support financial services clients with the definition and implementation of their AI strategy, focusing on areas … an emphasis on regulatory compliance (e.g., Basel III, GDPR) and ethical AI principles Ideate, design and implement AI-enabled solutions for financial services use cases, such as credit scoring, fraud detection, customer segmentation and predictive modeling Lead the process of taking AI/ML models from development to production, ensuring robust MLOps practices tailored to financial data environments … MiFID II or the EU AI regulatory framework Deep understanding of LLMs and their application in areas like financial document analysis, customer service chatbots or regulatory reporting Expertise in fraud detection techniques, anomaly detection and compliance analytics Strong understanding of ML Ops principles and experience in deploying and managing AI/ML models in financial systems Proficiency More ❯

maximize operational efficiencies, and improve 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, risk.lexisnexis.com About the team: You will be leading and coaching … a team of early career data analysts to use global data from the largest, real-time fraud detection platform to craft solutions for our enterprise customers and deliver against strategic projects. About the role : Your experience with data analysis, fraud and technology will lead to immediate real-world impact in the form of lower customer friction, reduced … fraud losses and as a result, increased customer profitability. Alongside management duties you will lead by example and retain a 40% hands-on component in this customer-facing role. You will promote and maximise the value of our data by collaborating with engagement managers and external business leaders. The comprehensive solutions that you and your team build will go More ❯

maximize operational efficiencies, and improve 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, risk.lexisnexis.com About the team: You will be leading and coaching … a team of early career data analysts to use global data from the largest, real-time fraud detection platform to craft solutions for our enterprise customers and deliver against strategic projects. About the role : Your experience with data analysis, fraud and technology will lead to immediate real-world impact in the form of lower customer friction, reduced … fraud losses and as a result, increased customer profitability. Alongside management duties you will lead by example and retain a 40% hands-on component in this customer-facing role. You will promote and maximise the value of our data by collaborating with engagement managers and external business leaders. The comprehensive solutions that you and your team build will go More ❯

maximize operational efficiencies, and improve 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, risk.lexisnexis.com About the team: You will be leading and coaching … a team of early career data analysts to use global data from the largest, real-time fraud detection platform to craft solutions for our enterprise customers and deliver against strategic projects. About the role : Your experience with data analysis, fraud and technology will lead to immediate real-world impact in the form of lower customer friction, reduced … fraud losses and as a result, increased customer profitability. Alongside management duties you will lead by example and retain a 40% hands-on component in this customer-facing role. You will promote and maximise the value of our data by collaborating with engagement managers and external business leaders. The comprehensive solutions that you and your team build will go More ❯

maximize operational efficiencies, and improve 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, risk.lexisnexis.com Graduate Data Analyst Opportunity Are you a recent university … and be at the forefront of cutting-edge solutions. About our Team: You will be part of a team of analysts using global data from the largest real-time fraud detection platform to optimise solutions for our enterprise customers. About the role: What skills will you develop? Investigations: Conduct reviews of complex fraud cases to identify trends … actionable insights, making recommendations on how our customers can use your findings to build trust and mitigate risks. Analytics: Use your SQL and Python skills to increase our customers’ fraud capture while reducing false positives, conducting analysis of huge datasets to expose patterns and develop effective detection solutions. Produce executive-level reports and own the end-to-end More ❯

your own projects, drive modelling initiatives, and take ideas from concept to production You'll be encouraged to propose new approaches and explore creative ways to detect and prevent fraud We debate and critique our ideas in a healthy, supportive team You'll have the chance to shape both models and how we think about fraud detection … that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for modelling, working closely with analytics engineering teams Contribute to the development of end-to-end machine learning … workflows and help embed models into production systems Analyse transaction and behavioural data to identify trends, anomalies, and fraud patterns Requirements Industry experience in data science or machine learning models, ideally in fraud, financial crime, or a related domain Experience working with large-scale, high-dimensional, and heavily imbalanced datasets Excellent skills in Python and SQL Solid understanding More ❯

maximize operational efficiencies, and improve 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, https://risk.lexisnexis.com 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 … craft a story through data, delivering industry-leading presentations for external and executive audiences Building an extensive knowledge of cybercrime – account takeover, scams, social engineering, Card Not Present (CNP) fraud, money laundering and mule fraud etc Employing your multi-tasking and prioritisation skills to excel in a fast-paced environment with frequently changing priorities Requirements: Experience in a More ❯

Within our Business Services vertical, we offer solutions focused on helping businesses drive revenue, operational efficiency, and customer experience. Our solutions address challenges in Anti-Money Laundering, Identity Verification, Fraud, Credit Risk mitigation, and Customer Data Management. More information can be found at risk.lexisnexis.com About the team: You will lead and coach a team of early-career data analysts … using global data from our fraud detection platform to craft solutions for enterprise customers and deliver strategic projects. About the role: Your expertise in data analysis, fraud, and technology will have immediate impact by reducing customer friction, fraud losses, and increasing profitability. You will be hands-on (40%) in this customer-facing role, collaborate with stakeholders … via phone, email, and chat. Lead initiatives to improve analytics, dashboarding, and KPI reporting. Collaborate internally and externally to enhance data-driven decision-making. Requirements: Experience managing analytics in fraud detection systems like ThreatMetrix, Featurespace, Hunter, Iovation, BioCatch, or Actimize Falcon, preferably in banking or large organizations. Strong statistical and critical thinking skills, with a numerical degree preferred. More ❯

and AI frameworks. Use Case Identification: Identify innovative applications of analytics and AI in financial crime prevention and compliance, such as Anti-Money Laundering (AML), Know Your Customer (KYC), Fraud Detection, Regulatory Reporting, and Transaction Monitoring. Advisory Services: Offer consulting on compliance scalability, operating models, regulatory guardrails, compliance governance, and integrated data management. Technology Integration: Leverage cutting-edge … Expertise in regulatory frameworks and practical applications in banking, insurance, and capital markets. Experience working with large Tier 1 banks, insurance organizations, and investment banks dealing with AML, KYC, fraud, and more. Experience building robust, scalable compliance architectures using cloud data platforms (AWS, Azure, GCP) and integrating with financial systems. Demonstrated knowledge in compliance model training, fine-tuning, and … governance, ethical considerations, and ensuring adherence to financial regulations. Financial Crime and Compliance Expertise: Skilled at identifying and articulating compliance use cases in banking and insurance (e.g., AML, KYC, fraud detection, and regulatory reporting). Business Impact: Proven ability to build business cases and value models that demonstrate the tangible benefits of compliance solutions. Full-Cycle Pre-Sales More ❯

and AI frameworks. Use Case Identification: Identify innovative applications of analytics and AI in financial crime prevention and compliance, such as Anti-Money Laundering (AML), Know Your Customer (KYC), Fraud Detection, Regulatory Reporting, and Transaction Monitoring. Advisory Services: Offer consulting on compliance scalability, operating models, regulatory guardrails, compliance governance, and integrated data management. Technology Integration: Leverage cutting-edge … Expertise in regulatory frameworks and practical applications in banking, insurance, and capital markets. Experience working with large Tier 1 banks, insurance organizations, and investment banks dealing with AML, KYC, fraud, and more. Experience building robust, scalable compliance architectures using cloud data platforms (AWS, Azure, GCP) and integrating with financial systems. Demonstrated knowledge in compliance model training, fine-tuning, and … governance, ethical considerations, and ensuring adherence to financial regulations. Financial Crime and Compliance Expertise: Skilled at identifying and articulating compliance use cases in banking and insurance (e.g., AML, KYC, fraud detection, and regulatory reporting). Business Impact: Proven ability to build business cases and value models that demonstrate the tangible benefits of compliance solutions. Full-Cycle Pre-Sales More ❯

and AI frameworks. Use Case Identification: Identify innovative applications of analytics and AI in financial crime prevention and compliance, such as Anti-Money Laundering (AML), Know Your Customer (KYC), Fraud Detection, Regulatory Reporting, and Transaction Monitoring. Advisory Services: Offer consulting on compliance scalability, operating models, regulatory guardrails, compliance governance, and integrated data management. Technology Integration: Leverage cutting-edge … Expertise in regulatory frameworks and practical applications in banking, insurance, and capital markets. Experience working with large Tier 1 banks, insurance organizations, and investment banks dealing with AML, KYC, fraud, and more. Experience building robust, scalable compliance architectures using cloud data platforms (AWS, Azure, GCP) and integrating with financial systems. Demonstrated knowledge in compliance model training, fine-tuning, and … governance, ethical considerations, and ensuring adherence to financial regulations. Financial Crime and Compliance Expertise: Skilled at identifying and articulating compliance use cases in banking and insurance (e.g., AML, KYC, fraud detection, and regulatory reporting). Business Impact: Proven ability to build business cases and value models that demonstrate the tangible benefits of compliance solutions. Full-Cycle Pre-Sales More ❯

and AI frameworks. Use Case Identification: Identify innovative applications of analytics and AI in financial crime prevention and compliance, such as Anti-Money Laundering (AML), Know Your Customer (KYC), Fraud Detection, Regulatory Reporting, and Transaction Monitoring. Advisory Services: Offer consulting on compliance scalability, operating models, regulatory guardrails, compliance governance, and integrated data management. Technology Integration: Leverage cutting-edge … Expertise in regulatory frameworks and practical applications in banking, insurance, and capital markets. Experience working with large Tier 1 banks, insurance organizations, and investment banks dealing with AML, KYC, fraud, and more. Experience building robust, scalable compliance architectures using cloud data platforms (AWS, Azure, GCP) and integrating with financial systems. Demonstrated knowledge in compliance model training, fine-tuning, and … governance, ethical considerations, and ensuring adherence to financial regulations. Financial Crime and Compliance Expertise: Skilled at identifying and articulating compliance use cases in banking and insurance (e.g., AML, KYC, fraud detection, and regulatory reporting). Business Impact: Proven ability to build business cases and value models that demonstrate the tangible benefits of compliance solutions. Full-Cycle Pre-Sales More ❯

maximize operational efficiencies, and improve 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, https://risk.lexisnexis.com 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 … craft a story through data, delivering industry-leading presentations for external and executive audiences Building an extensive knowledge of cybercrime – account takeover, scams, social engineering, Card Not Present (CNP) fraud, money laundering and mule fraud etc Employing your multi-tasking and prioritisation skills to excel in a fast-paced environment with frequently changing priorities Requirements Experience in a More ❯

your own projects, drive modelling initiatives, and take ideas from concept to production You'll be encouraged to propose new approaches and explore creative ways to detect and prevent fraud We debate and critique our ideas in a healthy, supportive team You'll have the chance to shape both models and how we think about fraud detection … that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for modelling, working closely with analytics engineering teams Contribute to the development of end-to-end machine learning … warehouses Desire to build interpretable and explainable ML models (using techniques such as SHAP) Desire to quantify the level of fairness and bias machine learning models Enthusiasm for improving fraud detection systems and a proactive, problem-solving mindset Interview process Interviewing is a two way process and we want you to have the time and opportunity to get More ❯

your own projects, drive modelling initiatives, and take ideas from concept to production You'll be encouraged to propose new approaches and explore creative ways to detect and prevent fraud We debate and critique our ideas in a healthy, supportive team You'll have the chance to shape both models and how we think about fraud detection … that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for modelling, working closely with analytics engineering teams Contribute to the development of end-to-end machine learning … warehouses Desire to build interpretable and explainable ML models (using techniques such as SHAP) Desire to quantify the level of fairness and bias machine learning models Enthusiasm for improving fraud detection systems and a proactive, problem-solving mindset Interview process Interviewing is a two way process and we want you to have the time and opportunity to get More ❯

your own projects, drive modelling initiatives, and take ideas from concept to production You’ll be encouraged to propose new approaches and explore creative ways to detect and prevent fraud We debate and critique our ideas in a healthy, supportive team You’ll have the chance to shape both models and how we think about fraud detection … that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for modelling, working closely with analytics engineering teams Contribute to the development of end-to-end machine learning … warehouses Desire to build interpretable and explainable ML models (using techniques such as SHAP) Desire to quantify the level of fairness and bias machine learning models Enthusiasm for improving fraud detection systems and a proactive, problem-solving mindset Interview process Interviewing is a two way process and we want you to have the time and opportunity to get More ❯

handle routine inquiries, provide 24/7 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 More ❯

to ensure the accuracy and reliability of data models. Communicate complex data insights to non-technical stakeholders through clear and actionable reports. Apply domain knowledge (if applicable) in financial fraud to enhance predictive modelling and anomaly detection capabilities. Skills and attributes for success Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of … the ability to work in a fast-paced environment. Strong communication skills to effectively collaborate with team members and present findings to stakeholders. A good understanding of the financial fraud domain is preferred, with the ability to apply this knowledge to data analysis and fraud detection. Critical thinking & translate technical problems into business usable and understandable language Working More ❯