9 Fraud Detection Jobs in the UK with Remote Work Options

Fraud Advisor 6 month Contract Glasgow - Hybrid working The Fraud Advisor will have the responsibility of monitoring and identifying emerging fraud trends/patterns, playing a crucial role in shaping and improving the processes to combat such fraudulent activities. A strong background in FCA, expertise in CIFAS … synchronized with the business's commercial objectives, ensuring that your decision-making safeguards the Company against financial risk with a positive customer experience. Maintaining fraud levels within targets related to company plan. Investigating claims of fraud, ensuring risks are mitigated and victims are protected. Recognise, prioritise and respond … to alerts generated by the Fraud Management System or other fraud reporting mechanisms. Provide a high standard of support to fraud victims and stakeholders. Proactively strive to improve fraud detection capabilities. Update our fraud avoidance systems in a timely manner. Minimise the negative impact 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 »

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 »

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 »

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 »

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 »

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 »