19 Fraud Detection Jobs in the UK

businesses operate worldwide: Credit Scoring — 150+ billion FICO Scores have been sold to date, making it the most used credit score in the world. Fraud Detection and Security — 2.6+ billion payment cards globally are protected by FICO fraud systems. Lending — 3/4 of US mortgages are more »

a specialized professional responsible for analyzing, tracking, and investigating digital assets and transactions involving cryptocurrencies. They employ advanced forensic techniques to uncover illicit activities, fraud, money laundering, and other criminal behaviors within the realm of blockchain and digital currency transactions. Responsibilities: Transaction Analysis: Examine blockchain transactions to trace the … and detect suspicious activities. Wallet Identification: Use blockchain analysis tools to link wallet addresses to individuals or entities, aiding in the identification of suspects. Fraud Detection: Investigate and identify fraudulent schemes, including Ponzi schemes, phishing attacks, and other scams involving cryptocurrencies. Money Laundering Detection: Analyze transaction histories more »

AI. Join us and be part of an innovative team building game-changing products! You will: Build and deploy cutting-edge machine learning models (fraud detection, risk assessment) using NLP (sentiment analysis, named entity recognition) to solve complex product challenges. Translate business needs into impactful AI solutions, guide more »

solutions to address critical business challenges. With more than 60 years of stable growth, FICO’s world-class decisioning and analytic solutions support smarter fraud, risk, marketing and customer management decisions for thousands of businesses worldwide. As a New Business Sales Partner, you’ll be responsible for hunting, cultivating … services/banking, insurance, telecommunications, auto finance and manufacturing. Knowledge or experience in Consumer Lending, Credit Risk, Account Management, Retail Banking and Authentication/Fraud is a plus. Technical and business familiarity with data management, contextual profiling, data streaming, decision management, reject Inference, orchestration, Machine Learning, Artificial Intelligence, Simulation … businesses operate worldwide: Credit Scoring — 150+ billion FICO Scores have been sold to date, making it the most used credit score in the world. Fraud Detection and Security — 2.6+ billion payment cards globally are protected by FICO fraud systems. Lending — 3/4 of US mortgages are more »

model development. Conduct exploratory data analysis to identify trends, patterns, and insights Train, tune, and evaluate model performance across various functions, including risk management, fraud detection, and customer conversion. Implement monitoring systems to measure model performance and detect data drift. Collaborate closely with stakeholders from different functions to more »

ll Bring Successfully sold Enterprise class applications into Financial Institutions Strong understanding of Financial Crime and Compliance technology or Related Enterprise class analytical applications- Fraud detection, Big Data analytics. You have a strong orientation towards Data Science (ML, AI), Graph and related analytical technology. Proven consultative and solution more »

purpose investment vehicles is desirable. Its about your background. You will need a background in financial audits, financial reporting systems, data analysis techniques for fraud detection, evidence gathering and investigative techniques. You will also need a good understanding of accounting and auditing standards. Its about specialised knowledge. You more »

technology company in the financial services who are looking for a Senior Data Scientist to deliver expertise on a large financial crime project, building fraud detection technology with modern data science techniques. You will help develop, deploy and support our suite of models used to prevent financial crime … manner and creating high-quality models Be able to effectively explain complex technical concepts to a range of stakeholders and teams Desirable Experience building fraud detection or anti-money laundering models at scale Knowledge around payments technology more »

FRAUD STRATEGY MANAGER UP TO £90,000 LONDON Join one of the fastest growing Fintech, and leaders in the lending space as a Fraud Strategy Manager. This role will allow you to help drive strategies for the team and provide your personal input in the company’s growth … and strategic partnerships. Top of Form THE ROLE You can expect to be involved in the following day to day: Drive the refinement of fraud detection strategies, ensuring an optimal balance between minimising losses and delivering positive customer outcomes Lead fraud strategy initiatives across the company’s … operational regions Manage diverse fraud types, covering application fraud, and internal fraud risks, adopting a comprehensive management approach Collaborate extensively with fraud operations and risk teams to assess exposure, scrutinize defense systems, and implement targeted enhancements for an improved fraud prevention framework Actively identify and more »

Description This is an exciting opportunity to join a fast paced and fast-growing area of the bank. We are looking for a motivated Fraud Strategy Analyst, with a real passion for developing colleagues and delivering the right outcomes for customers. The ideal candidate will have a good working … knowledge of the regulatory requirements for both Fraud and Transaction Monitoring typologies and prevention strategies. The Fraud Strategy Analyst role includes: - Support the design and implementation of counter fraud and financial crime rules across Cards and Payments ecosystems. Proactive approach to implementing counter fraud strategies with … a focus on emerging trends. Working with senior stakeholders, vendors, and the wider bank to implement fraud and financial crime prevention strategies. Maintaining alert rates across out fraud and financial crime prevention systems in line with agreed KPI’s Working with wider Operations, Product and 2LoD Teams to more »

Fraud Advisor - Finance Operations Glasgow/Home Contract – 6 months Join us in Glasgow as a Fraud Advisor, where you'll be the frontline against fraud in an ever-evolving environment. Protect our customers and revenue streams, making critical decisions to suspend services on a case-by … case basis. Rapidly detect fraud, minimize losses, and enhance detection capabilities, all while ensuring a positive customer experience. Key Responsibilities of the Fraud Advisor include: · Be the first line of defense against fraud. · Influence and change processes to combat emerging fraud trends. · Contribute to the team … s success with your attention to detail and objection handling. · Maintain fraud levels within company targets. · Investigate and mitigate claims of fraud, protecting victims. · Recognize and respond to alerts, striving for continuous improvement. · Provide top-notch support to fraud victims and stakeholders. · Update fraud avoidance systems more »

to validate effectiveness. Developing and gathering intelligence to identify threats and product risk across offerings. Evaluating, tuning, and monitoring security telemetry to detect misuse, fraud, and attacks. Analyzing security incidents and attack patterns. Understanding and contributing to metrics demonstrating the efficacy of security controls. Recommending improvements to tools, applications … if identifying emerging threats, leverage open-source and proprietary security testing tools, and utilize investigative techniques for online/eCommerce, banking/credit card fraud detection a strong plus. Demonstrate exceptional communication skills, both written and verbal, coupled with strong customer service abilities. Work in a way that more »

the engineering function in 2024. The development team consists of 80 developers who are currently working across different platforms such as anti-money laundering, fraud detection and their own in-house processing platforms. Their technical roadmap has been hugely focussed on the AWS cloud migration and CI/ more »

the landscape of FICO network operations.” – Senior Manager, Network Engineering. What You’ll Do Design and manage security solutions, including firewall, and network intrusion detection systems. Manage all network hardware and equipment, including routers, switches, and UPSs. Implement and maintain all equipment, hardware, and software upgrades. Implement and maintain … businesses operate worldwide: Credit Scoring — 150+ billion FICO Scores have been sold to date, making it the most used credit score in the world. Fraud Detection and Security — 2.6+ billion payment cards globally are protected by FICO fraud systems. Lending — 3/4 of US mortgages are more »

Job summary The Principal Data Scientists demand exceptional expertise and practical experience in machine learning, statistical analysis, and fraud detection. They must possess excellent communication and collaboration skills and be experts in detecting fraud using statistical methods and disseminating all products, including fraud detection models, into … of appropriate data science models, approaches and products used in the portfolio of work. Being an expert within the Data Science domain for counter fraud activities involving all advanced analytical techniques for the portfolio of work and translating into areas of agreed focus. Assessing tools, techniques, approaches, and systems … in managing a data science team, from project design, control and implementation to guidance, leadership, and direction of the team. oProven practical experience in fraud detection methods using data including the implementation of statistical modelling and methods into a live production environment oPractical experience in designing algorithms, using more »

Job summary The Principal Data Scientists demand exceptional expertise and practical experience in machine learning, statistical analysis, and fraud detection. They must possess excellent communication and collaboration skills and be experts in detecting fraud using statistical methods and disseminating all products, including fraud detection models, into … of appropriate data science models, approaches and products used in the portfolio of work. Being an expert within the Data Science domain for counter fraud activities involving all advanced analytical techniques for the portfolio of work and translating into areas of agreed focus. Assessing tools, techniques, approaches, and systems … in managing a data science team, from project design, control and implementation to guidance, leadership, and direction of the team. oProven practical experience in fraud detection methods using data including the implementation of statistical modelling and methods into a live production environment oPractical experience in designing algorithms, using more »

ll Bring Successfully sold Enterprise class applications into Financial Institutions Strong understanding of Financial Crime and Compliance technology or Related Enterprise class analytical applications- Fraud detection, Big Data analytics. You have a strong orientation towards Data Science (ML, AI), Graph and related analytical technology. Proven consultative and solution … ll Bring Successfully sold Enterprise class applications into Financial Institutions Strong understanding of Financial Crime and Compliance technology or Related Enterprise class analytical applications- Fraud detection, Big Data analytics. You have a strong orientation towards Data Science (ML, AI), Graph and related analytical technology. Proven consultative and solution more »

functional teams to build safe and trusted connections between users and the business. Responsibilities for the Software Engineer: Build highly scalable systems including ad fraud detection, risk control, ads integrity systems, to improve user's experiences with ads across the platform. Build and lead teams to the success … to think critically and to formulate solutions to problems in a clear and concise way. Deep understanding in one of the following domains: ad fraud detection, risk control, quality control, business/ads integrity, and online advertising systems. Deep knowledge in one of the following areas: machine learning more »

Job summary The Principal Data Scientists demand exceptional expertise and practical experience in machine learning, statistical analysis, and fraud detection. They must possess excellent communication and collaboration skills and be experts in detecting fraud using statistical methods and disseminating all products, including fraud detection models, into … of appropriate data science models, approaches and products used in the portfolio of work. Being an expert within the Data Science domain for counter fraud activities involving all advanced analytical techniques for the portfolio of work and translating into areas of agreed focus. Assessing tools, techniques, approaches, and systems … in managing a data science team, from project design, control and implementation to guidance, leadership, and direction of the team. oProven practical experience in fraud detection methods using data including the implementation of statistical modelling and methods into a live production environment oPractical experience in designing algorithms, using more »