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Identify and analyze new fraud detection features using SQL, Databricks, and Python. Analyze and deploy solutions to real-time Square systems to prevent fraud in real-time.
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A minimum of 5 years as a people managerA minimum of 3 years of experience in developing AI, ML, DL, NLP, LLM, and multi-agent algorithms, with a focus on fraud detection and prevention.
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Continuously evaluate impacts of policy and policy changes on fraud detection models. Uses this knowledge to construct fraud detection models. Integrity Management Services, Inc. (IntegrityM) is an award-winning, women-owned small business specializing in assisting government and commercial clients in compliance and program integrity efforts, including the prevention and detection of fraud, waste and abuse in government programs.
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Lead an d set the long-term and day-to-day organizational strategies and operational rhythms for teams responsible for Digital Risk Intelligence (cyber-fraud intelligence ) , Technical Intelligence, Threat Informed Defense (cyber detection ), and Security Automation.
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Hawk is the leading provider of AI-supported anti-money laundering and fraud detection technology. Banks and payment providers globally are using Hawk's powerful combination of traditional rules and explainable AI to improve the effectiveness of their AML compliance and fraud prevention by identifying more crime while maximizing efficiency by reducing false positives.
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This role will actively support multiple real-time fraud detection rule systems and demonstrate a high level of building, developing, and implementing impactful fraud mitigation rules.
$131,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Responsibilities: Lead an d set the long-term and day-to-day organizational strategies and operational rhythms for teams responsible for Digital Risk Intelligence (cyber-fraud intelligence ) , Technical Intelligence, Threat Informed Defense (cyber detection ), and Security Automation.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Education and Awareness: Develop and deliver real-time education to members about emerging fraud and scam trends, ensuring they are informed and empowered to recognize red flags. 8 years of operations experience in a relevant functional area to include financial services, Fraud, AML, compliance, risk, audit, third party risk management or other related operational areas that support fraud risk management initiatives within the business.
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As a Financial Crimes Member Advocacy Specialist, you will play a key role in shaping, executing, and monitoring the member advocacy strategy, focusing on fraud prevention, education, and internal team alignment.
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As a Senior Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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Mediaocean owns and operates Prisma, the industry's trusted system of record for media management and finance, Flashtalking, the world's largest independent ad server and creative personalization platform, as well as Protected Media, the MRC-accredited ad verification solution for brand safety and fraud detection.
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Design and implement sophisticated machine learning models for object detection, classification, semantic segmentation, and anomaly detection specific to autonomous driving scenarios. This position is part of the Space Systems Development (SSD) business unit.
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Our focus on combatting climate change through clean energy technology, our new net zero climate vision for 2030 and enhanced commitment to diversity, equity and inclusion; and supporting the communities we serve make this a particularly exciting time to join PSEG. Job Summary This position is an experienced, hands-on technical lead, performing IT security functions, especially related endpoint protection and network security.
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5-6 years of experience in pipeline inspection, with a focus on capital rebuilds, relocations, and leak detection. Maintain up-to-date knowledge of industry standards, regulations, and best practices as well as knowledge of the following: PHMSA part 192 requirements, OSHA site safety, Maximo/Moblite, Locus IQ, Pragma CAD, as-built drawings, and ONE MAP.
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part time fraud detection jobs Title: float teller in Anoka, Minnesota
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