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We provide a blockchain intelligence platform to law enforcement, financial institutions, and crypto firms to assist in the detection and prevention of cryptocurrency fraud and financial crime.
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Relevant work experience in credit risk and/or financial fraud risk, with deep understanding of payment systems, money movement products, and banking, finance, credit bureau, and fraud detection data.
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Competence in deploying and monitoring infrastructure within public cloud platforms, utilizing tools such as Docker, Terraform, Kubernetes, and Datadog; Expertise in data processing technologies and streaming workflows including Spark, Kafka, and Flink.
ExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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The primary use of Dash Cams is to assist in the protection and safety of employees and property, prevention, and detection of criminal offenses such as vehicle vandalism and break-ins and staged-accident fraud, defense of legal claims, driver exoneration, and driver training and improvement.
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As needed, collaborate with internal and external stakeholders to identify object detection, optical character recognition, automation, predictive modeling, pattern analysis, natural language processing, fraud detection, and other business cases for using ML.
Work from homeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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These challenges encompass areas such as fraud detection, feed ranking, recommendation systems, targeting, chatbots, and blockchain mining. This involves harnessing diverse and extensive data sources, including the blockchain, to grant millions of individuals access to cryptocurrency while simultaneously identifying and thwarting malicious entities.
$180,625 - $212,500 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Business Development Fraud Attention to Detail Follow through Credit Risk SMB Financial Services Fraud Detection Product Engineering. Postgres Amazon RDS Machine Learning Financial technology Fraud Sales & Marketing Attention to Detail Bloomberg Infrastructure Amazon Redshift.
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Design and build systems for fraud detection and remediation while balancing fraud loss, cost of implementation, and customer experience. We are looking for a software engineer with anti fraud & abuse experience to help architect and build our next-generation anti-fraud systems.
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Projects will include fraud detection, prevention and mitigation in novel arenas, such as our first-to-market Income Protection program; risk underwriting for various lending/advance programs; predictive analytics to drive our payout and repayments systems; and more.
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An additional suite of sensors feeds into an onboard fraud detection system, enabling use in unsecured environments. Bonus: experience with intrusion detection systems. Find even more open roles in Ethical Hacking, Pen Testing, Security Engineering, Threat Research, Vulnerability Management, Cryptography, Digital Forensics and Cyber Security in general - ordered by popularity of job title or skills, toolset and products used - below.
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Manage a growing payments engineering team to deliver on key company goals as it relates to retention, billing conversions and fraud detection. This team has significantly reduced fraud rates via machine learning and Sift Science.
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Utilize GPT-4 and future models to more effectively combat fraud and abuse. Have at least 2 years experience in fraud or abuse analysis, investigation, and/or operations. The Fraud Engineering team works within our Applied Engineering organization identifying and responding to fraudsters on our platform.
$200,000 - $370,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Seeking out new data sources, such as credit bureaus, fraud-detection services, and alternative sources (social media, satellite & street views). This is a once-in-a-lifetime opportunity to join our rocketship at an inflection point.
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This role will give you a unique opportunity to work closely with customers, gathering requirements and engineering feature pipelines that support use-cases like cancer detection, fraud prevention, and product recommendation.
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Automated fraud detection with Fivetran and BigQuery. Automated fraud detection with Fivetran and BigQuery. Demonstrated experience using a variety of tools including SQL, Looker, Tableau, etc.
$126,667 - $152,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago
fraud detection jobs in San Francisco, CA
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