Lead fraud detection, anti-money laundering, sanctions compliance, and financial crime initiatives. Responsibilities include designing AML and fraud frameworks, configuring Featurespace ARIC and Navaera, developing transaction monitoring and risk detection strategies, ensuring global regulatory compliance, and advising on fraud prevention and financial crime mitigation.
This is a remote position.
Lead fraud detection, AML, and sanctions compliance initiatives, ensuring financial systems are secure, compliant, and optimized.
Key Responsibilities
-
Design and implement fraud and AML frameworks
-
Lead configuration of platforms like Featurespace ARIC and Navaera
-
Develop transaction monitoring and risk detection strategies
-
Ensure compliance with global regulatory requirements
-
Provide advisory on fraud prevention and financial crime mitigation
Requirements
-
10–15 years experience in AML, fraud, or financial crime systems
-
Strong knowledge of regulatory frameworks and compliance standards
-
Experience with fraud detection and AML tools
Key Skills
AML | Fraud Detection | Sanctions | Risk Management | Compliance
Similar Jobs
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Provides administrative and concierge support to senior leaders by managing calendars, meetings, travel, confidential information, correspondence, records, expenses, and action items. Coordinates office logistics, guest services, conference rooms, virtual sessions, and special events while maintaining organized workflows and adapting to changing priorities.
Top Skills:
Data Entry And Reporting ToolsOffice Productivity ToolsTravel Systems
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Build and own production Vision AI systems end to end, including model selection, inference pipelines, evaluation, monitoring, and customer-facing features. Shape architecture, collaborate with product, design, and engineering teams, and use AI coding tools to accelerate development. Establish high standards for quality, testing, reliability, security, and privacy while mentoring engineers and taking ambiguous ideas from prototype to production.
Top Skills:
Claude CodeComputer VisionCursorData ModelingDistributed SystemsGoJavaKotlinLarge Language ModelsMachine LearningMl Inference PipelinesModel EvaluationModel MonitoringPythonQuery LanguagesScalaVision AiVision-Language Models
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Architect and build Toast’s Vision AI platform, including video ingestion, processing, storage, inference pipelines, evaluation, and monitoring. Develop production ML services and customer-facing computer vision features, make architecture decisions, write significant code, and guide technical direction. Partner across teams, mentor engineers, establish reliability, security, and privacy standards, and promote AI-assisted development. The role requires deep distributed-systems and cloud expertise, production ML experience, video familiarity, and the ability to take ambiguous ideas from prototype to customer-ready products.
Top Skills:
Amazon Kinesis Video StreamsApache KafkaApache PulsarAWSClaude CodeCursorFfmpegGstreamerJavaKotlinLlm ApisPythonVision-Language Model ApisWebrtc
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
