FATF AML compliance system

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Dear coders

i would like to have someone expert who can help me creating an AML (Anti Money Laundry) system using AI and the following standards as the following standards:

FATF,  CCPA, GDPR, SOC2 type II, ISO 27001, and WCAG Accessibility Guidelines.

please submit if you. can create the BACKEND system including a dashboard to help us flagging the users.

this process should be ongoing and run automatically every day on the backend

country based flagging

full name check credentials on black lists and global lists

risk by country - by name - by social media activities ...etc

please bid only if you have such experience

user feedback on lists

anti-money-laundering (AML) screening maintains your regulatory compliance while also actively increasing your customer conversions. Our Identity Verification service alongside Politically Exposed Person (PEP) and sanctions checks, adverse media screening, and ongoing monitoring reduces risk for your business at every turn.

Identity verification

Quickly and easily get real customers through identity verification, while stopping fraud at the gates.

PEP & sanctions

Screen customers through sanctions and PEP watchlists globally, with real-time updates.

Adverse information & media

Identify negative news for predicate offences and potential risk.

Ongoing monitoring

Continuously monitor watchlists and adverse media for changes that may create risk.

Suspicious Activity

Monitoring (SAM)

Customer Due

Diligence (CDD)

Sanctions

Screening

X-Sight Entity

Risk

Cryptocurrency

Intelligence

Trade-Based Money

Laundering

Suspicious Transaction

Activity Reporting (STAR)

Currency Transaction

Reporting (CTR)

AML

Essentials

Xceed: Integrated

FRAML

united nations lists

Arhitektura porgramske opreme Python

ID projekta: #35495664

Več o projektu

12 predlogov Oddaljen projekt Aktiven pred 1 letom