8 of 8 Fraud Detection Jobs in the UK

Fraud Data Scientist London (Hybrid, 2 Days per Week) | £55,000 - £65,000 This is an exciting opportunity for a Fraud Data Scientist to take ownership of fraud analytics and fraud prevention within a growing fintech business. You'll work on high-impact fraud modelling … initiatives, helping to shape how the organisation identifies, prevents, and responds to evolving fraud risks while contributing to a business focused on delivering positive outcomes for its customers. The Company This fast-growing fintech has developed an alternative approach to consumer lending, focused on providing a more transparent ...

APPLIED DATA SCIENTIST, FRAUD PREVENTION £55,000 - £65,000 LONDON (HYBRID) This is an exciting opportunity to join a growing FinTech with an innovative approach to lending. You'll play a key role in building and improving fraud prevention capabilities, working on high-impact machine learning projects that … collaborative data science team where you will have the opportunity to make a tangible impact from day one. THE ROLE * Develop and deploy fraud detection, identity verification, and fraud scoring models * Analyse large and complex datasets to identify fraud trends, risks, and opportunities * Evaluate new data ...

BigQuery, to identify scraping, bot activity and unauthorised content extraction using fingerprint analysis, behavioural signals and network data Build and maintain a portfolio of detection signals and continuously evolve them as threat actors change their tactics Measure detection performance through coverage, precision, false-positive rates and baseline benchmarking … across digital products. Understanding of content discoverability, search and referral ecosystems, or the ability to quickly develop expertise in this area Interest in bot detection, behavioural analytics, fingerprinting and content protection challenges Ability to connect multiple data sources to build a coherent picture of user behaviour and content usage ...

skilled AI Engineer at our client to develop and implement machine learning and AI solutions that strengthen our ability to detect financial crime, prevent fraud, and safeguard our customers. Working closely with data scientists, engineers, and senior technical colleagues, you will contribute to scalable ML pipelines, agentic AI systems … Generative AI techniques such as retrieval-augmented generation, fine-tuning, or prompt engineering Exposure to distributed data processing frameworks, such as Spark Exposure to fraud detection, anti-money laundering, anomaly detection, or graph and network-based modelling Awareness of model risk management, governance, and regulatory controls within ...

hands-on engineering role, not one that quietly turns into pure management. Broad exposure across Oxfida's project portfolio, from the Pricing Engine to fraud detection and AI risk governance, rather than being tied to a single narrow codebase. Real scope to shape the engineering standards and tooling ...

Role You will: Develop and deploy machine learning models that support pricing and risk management strategies. Build predictive models focused on claims outcomes, fraud detection, and key business performance metrics. Create and maintain analytical tools used to manage and optimise risk portfolios. Identify, assess, and utilise new data ...

include: Analysing large and complex datasets to identify trends, patterns, and actionable insights. Building and deploying machine learning models to support forecasting, risk assessment, fraud detection, and customer outcomes. Developing predictive models that drive commercial and operational decision-making. Creating dashboards and visualisations to communicate findings to technical ...

Platform powers mission-critical applications for some of the world's most recognisable organisations, including: Deutsche Bank | Walmart | NASA | JP Morgan | AT&T; From fraud detection and risk management to real-time product recommendations, their technology sits behind some of the most innovative applications used by global businesses. ...