AI KYC / AML Operations Analyst

• Santriya Technologies is seeking an AI KYC / AML Operations Analyst to perform customer onboarding, KYC refresh and due diligence using AI-assisted document extraction and screening triage, with human verification of identity, ownership and risk decisions.
• Product & documentation operating model: You will be assigned one or more company products, client solutions or operational services.
• The approved product documentation, SOPs, policies, process maps, knowledge articles, release notes, controls, scripts and AI runbooks are the source of truth.
• Use only approved enterprise AI tools to retrieve, summarize, draft, classify, prioritize or automate work.
• Validate material AI outputs against current documentation and authoritative system data, record exceptions, and escalate conflicts or missing guidance.
• Do not invent product features, prices, customer entitlements, engineering limits, regulatory positions or safety instructions.

Key Responsibilities:

• Collect and validate required customer/entity documents and data against onboarding standards.
• Use AI/OCR to extract and compare information, correcting errors against original documents.
• Perform screening and risk assessment for sanctions, PEP, adverse media and customer/product/geography factors using approved systems.
• Resolve discrepancies and obtain additional evidence rather than relying on AI assumptions.
• Conduct or support enhanced due diligence for higher-risk cases.
• Maintain clear source, review and approval evidence for each decision.
• Escalate suspicious or policy-exception cases to authorized compliance/financial-crime teams.
• Track onboarding aging, document expiry and periodic review obligations.
• AI-enabled ways of working:
• Use approved GenAI copilots, enterprise search/RAG, analytics and workflow agents to reduce repetitive work and improve decision preparation.
• Keep prompts, outputs and automated actions within approved data-access, confidentiality and retention rules.
• Correct inaccurate summaries, classifications or recommendations before they become customer, operational or system records.
• Feed recurring AI errors, knowledge gaps and process friction into product, documentation and control improvement.
• Human accountability: AI is a copilot, not the accountable decision-maker.
• The role holder remains responsible for judgement, quality, privacy, security and appropriate escalation.
• Credit, fraud blocking, legal/regulatory, financial advice, safety-critical, clinical, employment and other high-impact decisions must follow delegated authority and required human review.
• Success Measures:
• Onboarding turnaround improves
• Data/document accuracy remains high
• High-risk cases are identified and escalated
• KYC files are audit-ready