6 Fraud Detection Jobs in England with Remote Work Options

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 »

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 »

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 »

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 »