7 Fraud Detection Jobs in London

FRAUD STRATEGY MANAGER UP TO £90,000 LONDON Join one of the fastest growing Fintech, and leaders in the lending space as a Fraud Strategy Manager. This role will allow you to help drive strategies for the team and provide your personal input in the company’s growth … and strategic partnerships. Top of Form THE ROLE You can expect to be involved in the following day to day: Drive the refinement of fraud detection strategies, ensuring an optimal balance between minimising losses and delivering positive customer outcomes Lead fraud strategy initiatives across the company’s … operational regions Manage diverse fraud types, covering application fraud, and internal fraud risks, adopting a comprehensive management approach Collaborate extensively with fraud operations and risk teams to assess exposure, scrutinize defense systems, and implement targeted enhancements for an improved fraud prevention framework Actively identify and more »

the engineering function in 2024. The development team consists of 80 developers who are currently working across different platforms such as anti-money laundering, fraud detection and their own in-house processing platforms. Their technical roadmap has been hugely focussed on the AWS cloud migration and CI/ more »

the landscape of FICO network operations.” – Senior Manager, Network Engineering. What You’ll Do Design and manage security solutions, including firewall, and network intrusion detection systems. Manage all network hardware and equipment, including routers, switches, and UPSs. Implement and maintain all equipment, hardware, and software upgrades. Implement and maintain … businesses operate worldwide: Credit Scoring — 150+ billion FICO Scores have been sold to date, making it the most used credit score in the world. Fraud Detection and Security — 2.6+ billion payment cards globally are protected by FICO fraud systems. Lending — 3/4 of US mortgages are 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 »

functional teams to build safe and trusted connections between users and the business. Responsibilities for the Software Engineer: Build highly scalable systems including ad fraud detection, risk control, ads integrity systems, to improve user's experiences with ads across the platform. Build and lead teams to the success … to think critically and to formulate solutions to problems in a clear and concise way. Deep understanding in one of the following domains: ad fraud detection, risk control, quality control, business/ads integrity, and online advertising systems. Deep knowledge in one of the following areas: machine learning 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 »

model development. Conduct exploratory data analysis to identify trends, patterns, and insights Train, tune, and evaluate model performance across various functions, including risk management, fraud detection, and customer conversion. Implement monitoring systems to measure model performance and detect data drift. Collaborate closely with stakeholders from different functions to more »