13 of 13 Remote Fraud Detection Jobs

summary The NHS Counter Fraud Authority (NHSCFA) is the national body responsible for all matters relating to the prevention, detection and investigation of economic crime across the NHS. The Principal Data Scientist role focuses on applying and delivering advanced data analytics, machine learning, statistical analysis, and fraud detection techniques within the NHS. Responsibilities include personally developing, managing fraud detection models, leading a team, and aligning data science initiatives with NHSCFA goals. The role involves project planning, defining data roadmaps, and ensuring delivery of counter-fraud insights as directed. Key duties include communicating ...

summary The NHS Counter Fraud Authority (NHSCFA) is the national body responsible for all matters relating to the prevention, detection and investigation of economic crime across the NHS. The Principal Data Scientist role focuses on applying and delivering advanced data analytics, machine learning, statistical analysis, and fraud detection techniques within the NHS. Responsibilities include personally developing, managing fraud detection models, leading a team, and aligning data science initiatives with NHSCFA goals. The role involves project planning, defining data roadmaps, and ensuring delivery of counter-fraud insights as directed. Key duties include communicating ...

Senior Data Scientist (Fraud) London/WFH to £70k Are you a Data Scientist with Fraud Detection experience? You could be progressing your career in as a Senior Data Scientist as part of a friendly and supportive international team at a growing and hugely successful European … insurance tech company as they expand their UK presence. As a Senior Data Scientist within the Anti Fraud Team you'll design and improve fraud detection systems that prioritise high risk claims, optimising the trade-off between detection accuracy and operational efficiency. Developing deep expertise ...

sources where required. p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Implement event-driven data architectures and optimise pipeline performance, parallelisation, and risk detection (e.g. fraud use cases). p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Build and maintain data access layers and ETL frameworks … Familiarity with large-scale data platforms and data access layers. p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Exposure to fraud detection or risk analytics use cases. p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Knowledge of data governance, security, and compliance frameworks. Security Requirements ...

sources where required. p]:pt-0 [&> p]:mb-2 [&> p]:my-0'> Implement event-driven data architectures and optimise pipeline performance, parallelisation, and risk detection (e.g. fraud use cases). p]:pt-0 [&> p]:mb-2 [&> p]:my-0'> Build and maintain data access layers and ETL frameworks … Familiarity with large-scale data platforms and data access layers. p]:pt-0 [&> p]:mb-2 [&> p]:my-0'> Exposure to fraud detection or risk analytics use cases. p]:pt-0 [&> p]:mb-2 [&> p]:my-0'> Knowledge of data governance, security, and compliance frameworks. Security Requirements ...

deploy and how to explain complex non-linear and generative AI. Current Areas of Focus: Affordability, income and expenditure analysis, credit risk, and fraud detection, with excellence in Entity Resolution – tying together disparate consumer data into a holistic view. Your work will directly help traditionally underserved consumers … highlighting potential risks from others. Responsibilities Predictive Modelling (Linear & Non-Linear): You will build and maintain foundational Linear Regression models for credit, affordability, and fraud scoring, while developing advanced XGBoost models for deeper risk insights. You will mine data to find behavioural signals—such as spending volatility or income ...

Onsite Job Description: A Data Scientist with banking experience designs predictive models, analyzes financial data, and develops ML/NLP solutions for risk management, fraud detection, and customer analytics. Key responsibilities include building credit risk scorecards, automating data pipelines, and ensuring regulatory compliance, typically requiring 3–5+ years … financial institutions. Key Responsibilities Predictive Modeling & Analytics: Develop behavioural segments, credit risk scorecards, and predictive models for customer onboarding, cross-selling, and churn retention. Fraud & Risk Management: Utilize advanced analytics to identify anomalies and fraudulent activities in transaction data. Implement risk models (probability of default) and maintain regulatory compliance. ...

Serving, Feature Store. Knowledge of IFRS 17, BCBS 239, UK Data Protection Act and Solvency II compliance. Experience with pricing models, claims processing and fraud detection in the insurance sector. Strong problem-solving skills and ability to translate business needs into technical solutions. Ability to document and present ...

Senior Data Scientist (Fraud) London/WFH to £70k Are you a Data Scientist with Fraud Detection experience? You could be progressing your career in as a Senior Data Scientist as part of a friendly and supportive international team at a growing and hugely successful European ...

/5G tower logs) Customer lifecycle & churn data Billing & revenue assurance Build models and pipelines to support network analytics, customer 360, churn prediction, fraud detection , etc. 7. Performance Optimization & Monitoring Tune Spark/Glue jobs for performance and cost. Monitor Redshift/Athena/S3 efficiency and implement ...

strategy, while maintaining autonomy over your specific work-streams. Drive business impact. Focus on high-impact areas such as augmenting our Operations, enhancing fraud detection (FinCrime), and personalising marketing efforts. Own the execution of key AI initiatives. You will lead the end-to-end lifecycle for specific Machine ...

strategy, while maintaining autonomy over your specific work-streams. Drive business impact. Focus on high-impact areas such as augmenting our Operations, enhancing fraud detection (FinCrime), and personalising marketing efforts. Own the execution of key AI initiatives. You will lead the end-to-end lifecycle for specific Machine ...

Data Scientist to build their first production AI capabilities. You will work end to end across ideation, prototyping, and deployment, shaping how customers detect fraud, block invalid traffic, and optimise real‐time behavioural analytics. The Company They are a rapidly scaling SaaS business specialising in privacy‐compliant, cookieless analytics. … They process billions of data rows weekly to prevent wasteful and fraudulent traffic. Their platform uniquely combines real‐time behaviour modelling, fraud detection, and optimisation. The Role • Deliver full lifecycle AI and ML projects from prototype to production. • Build applied AI workflows including LLMs, NLP, and RAG‐based ...