Analyzes potentially fraudulent transactions, monitors customer profiles for suspicious activity, investigates alerts, reviews red flags, performs KYC checks, gathers supporting information, and recommends escalation or closure of cases according to AML policies and procedures.
Overview
AML Analyst is responsible in analyzing potentially fraudulent transactions. You will monitor assigned profiles and review underlying data to assess and recommend as necessary.
QualificationsJob Requirements:
- Language Requirement: Procifiency in Russian and English in terms of verbal, written and comprehension
- Education level : Diploma and above in any field of study
- Experience - At least 1 years working experience in Financial, Banking or similar industry
- Have knowledge/experience in Anti-Money Laundering (AML), Know your Client (KYC) or Due Deligence
(May perform other duties as requested that may not be specifically addressed in this document)
- Daily analysis of potentially fraudulent transactions and support the service delivery of AML processes
- Transaction monitoring of assigned profiles to assess potential suspicious activity on the account, such as money laundering
- Review and analyze underlying data gathered on red flags to assess whether the alert should be recommended for escalation or to be closed with no further action
- Conduct case investigation following process flow with alert investigation with in-depth information gaethering and analysis
- Perform KYC checks in accordance with in-house policies, guidelines, and rules
- Case investigation, information and facts gathering
Similar Jobs
8 Minutes Ago
Fintech • Machine Learning • Payments • Software • Financial Services
Own referral and lifecycle marketing strategy, product-led growth, user engagement, lifetime value, and profitable growth. Lead offer economics, analytics, P&L ownership, product and pricing strategy, direct-to-consumer marketing, and customer experience development. Recruit and manage a high-performing growth team while partnering across Product, IT, Sales, Operations, and Finance. Drive business requirements, credit-risk analysis, project execution, strategic decisions, and performance improvement.
Top Skills:
AIAi AgentsCursorGithub Copilot
Fintech • Machine Learning • Payments • Software • Financial Services
Lead greenfield product development for Capital One Shopping’s Categories team. Build scalable distributed microservices and backend architectures using modern cloud-native technologies, while contributing across full-stack systems, big data pipelines, and analytics platforms. Partner with product managers to define technical strategy, architect consumer experiences, review code, and mentor engineers. Work with JavaScript, TypeScript, SQL, Python, Go, AWS, databases, Docker, and Kubernetes.
Top Skills:
AWSDistributed Nosql DatabasesDockerGoGCPJavaScriptKubernetesMicroservicesAzureOpen Source RdbmsPythonSQLTypescript
Fintech • Machine Learning • Payments • Software • Financial Services
Leads AI engineering teams responsible for foundational AI infrastructure, including model access, LLM inference, optimization, guardrails, evaluation, governance, observability, and cost management. Oversees development and deployment of scalable AI systems, makes build-versus-buy decisions, establishes technical vision, applies advanced research, and develops high-performing engineering talent.
Top Skills:
AWSAws UltraclustersAzureFoundation ModelsGCPHugging FaceLarge Language ModelsModel EvaluationNemo GuardrailsObservabilityPyTorchSimilarity SearchVectordbs
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
