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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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Experience in statistical detection of potential healthcare fraud and abuse, using tools, such as predictive modeling, development of mathematical models, neural networks, healthcare data analytics, and data mining.
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Data Engineers on the Disney Streaming Machine Learning and Innovation team develop and maintain systems and datasets that are used for Fraud/ATO/Bot Detection on Disney Streaming’s suite of streaming video apps, notably Disney+ and Hulu. In this role you will partner with Applied Machine Learning Engineers and Data Scientists to help manage and scale processes to create algorithm input features and datasets.
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Experience in the financial services industry, including credit risk, market risk, and fraud detection. Experience in the financial services industry, including credit risk, market risk, and fraud detection.
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Responsible for designing, building and integrating data in streams into high performing operational data hubs, enterprise event hubs and data lake to support use cases like near real time data virtualization and real time fraud detection.
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Prior experience in insider threat detection, fraud detection, or anti-abuse engineering is preferred. Experience with data science techniques, classical machine learning, and deep learning for anomaly detection.
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We need a big data experienced professional like you to help our clients find answers in their data to impact important missions—from fraud detection to cancer research to national intelligence.
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About the team: Capital One’s Card Decisioning team is responsible to enable our business to manage risk and drive business value across the customer lifecycle by providing real-time, accurate , secure and AI powered decision-making solutions for customer transactions, fraud detection, alerts, credit inquiries and applications across card, lending and banking products.
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The Fraud Detection and National Security Directorate (FDNS) was established within USCIS to strengthen national security and the integrity of the country's legal immigration system by closely aligning the adjudication of immigration benefits and services with the identification of potential threats to national security and/or public safety, the detection and deterrence of fraud, and the use of law enforcement and intelligence information to ensure optimal security for U.S. communities.
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Experience with Kubernetes Any background in Data Engineering and/or implementation of Artificial Intelligence enabled services Any knowledge of fraud detection and prevention techniques.
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Our Internal Audit team advisesclients on process efficiency, fraud detection, operational quality, internal control and regulatory compliance. Accounting & Internal Controls (A&IC) is well-positioned to help our clients address their most urgent finance transformation needs.
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The C3 AI Platform supports the value chain in any industry with prebuilt, configurable, high-value AI applications for reliability, fraud detection, sensor network health, supply network optimization, energy management, anti-money laundering, and customer engagement.
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With your expertise in anomaly detection and technical leadership, you'll collaborate on policy coordination and develop advanced threat detection capabilities. You'll develop strategies to protect CDAO's technical offerings from insider threats, leveraging machine learning and deep learning techniques with tools like Jupyter, Spark, TensorFlow, or PyTorch.
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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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Demonstrate financial efficiency and brand value of Accertify fraud solutions in technical and non-technical communication to a wide variety of stakeholders in the buying decision (CEO, CFO, CTO, VP Information Systems, Director Fraud Detection.
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fraud detection jobs in Arlington, VA
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