3 of 3 Remote Fraud Detection Jobs

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 ...

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 ...

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 ...