3 of 3 Contract Fraud Detection Jobs in the UK

monitoring in production environments. Advanced Algorithm Design: Develop and implement sophisticated machine learning algorithms (e.g., Gradient Boosting, NLP, Deep Learning, Graph Analytics, Reinforcement Learning) for use cases such as fraud detection, credit scoring, algorithmic trading, customer segmentation, and sentiment analysis. Stakeholder Management: Collaborate closely with business leaders (e.g., Risk, Marketing, Trading, Operations) to translate complex business problems into … and concepts (e.g., Docker, Kubernetes, MLflow, Airflow) for model deployment and lifecycle management. Financial Domain Knowledge: Direct experience with at least two of the following domains: Credit Risk Modeling, Fraud Detection, Anti-Money Laundering (AML), Know Your Customer (KYC), Algorithmic Trading, Customer Lifetime Value (CLV), or Marketing Optimization. Model Risk Management (MRM): Solid understanding of model validation, bias More ❯

oneAdvanced. • Design, develop, and deploy ETL strategy, design and executive to migrate Legacy finance data to Target. • Design, develop, and deploy predictive and prescriptive models (e.g., demand forecasting, anomaly detection, risk scoring, financial optimisation). • Build and manage end-to-end data pipelines using Azure Data Factory, Synapse, Dataverse, and Power BI. • Partner with oneAdvanced functional leads to enhance … data from oneAdvanced, legacy systems, and external data sources into central data platforms (EDW/Azure). • Implement machine learning use cases such as cashflow forecasting, working capital optimisation, fraud detection, and HR analytics. • Ensure compliance with GDPR, SOX, and internal governance when handling sensitive financial and HR data. • Support the development of a data-driven culture by More ❯

We're seeking an experienced Product Manager to support a major Fraud and Error transformation programme within a large-scale government environment. The role will focus on developing digital products and services that help identify, prevent, and reduce fraudulent activity and payment errors across critical citizen-facing systems. This is a strategic and delivery-focused position, requiring collaboration across … teams to ensure that digital products meet user needs, deliver measurable value, and align with organisational objectives. Key Responsibilities Define and communicate the product vision, strategy, and roadmap for fraud and error services. Own and manage the product backlog , ensuring priorities are aligned with business outcomes. Work closely with multidisciplinary teams - including business analysts, delivery managers, engineers, and data … Data-driven mindset - able to interpret and use performance insights to guide decisions. Experience working within public sector digital services or similarly complex, regulated environments. Desirable Skills Knowledge of Fraud Detection Systems , Identity Verification , or Risk Analytics solutions. Familiarity with GDS Service Standards and public sector digital delivery frameworks. Background in data-led products , machine learning , or automation More ❯