Revolutionising AML Compliance: How Palantir's Foundry Transforms Financial Risk Management
Vivek Viswanathan
|Business Analyst|, More then 10yrs experience |Global Transaction Banking|, |Wealth Management|, |Treasury & Capital Markets|, |Banking Operations|,| Credit|,| Risk Management| |Trade Finance|, |Business Analysis|,|AI|
Palantir’s Foundry for AML is a new tool that will change the way financial institutions handle risk management and compliance.
This article examines the practical applications of Foundry for AML to address compliance issues and enhance operational efficiency. This platform can greatly speed up the process of adding new customers, do automatic risk assessments, and improve reports of suspicious behaviour. Its features significantly alter the management of financial risks.
Read on to learn how using these cutting-edge technologies could be the key to protecting your institution from the many forms of modern financial crime, making you more compliant, and, most importantly, protecting your bottom line.? ? ?
?1. Failure to submit reports of suspicious transactions
Palantir’s Foundry for AML uses entity resolution engines and behavioural risk models to make it easier to find activities that don’t seem right. This system automatically finds suspicious actions by combining data from various sources and creating complete customer profiles. This big-picture view helps find strange trends that could mean money laundering or funding for terrorism. Additionally, it marks transactions that require further attention for reporting.
? ?Case Study: A big bank in Europe used Foundry for AML to combine more than 20 different data sources. This lets the bank automatically rate each customer based on 25 different risk factors. This led to a full behaviour study that showed transactions that were different from both normal customer patterns and peer benchmarks.?
? ?The implementation reduced the time to add a new customer from 10 days to 10 hours. It also automated 85% of the Know Your Customer (KYC) reviews, which made it much easier for the bank to spot and report suspicious activities quickly.
2. Not evaluating and writing down?risks
Foundry for AML supports a risk-based method. In this approach, risk assessments are dynamic and based on data. By combining data from various sources into a single platform, it enables constant updating and improvement of risk profiles based on real-time data. This feature makes sure that risk assessments are always up-to-date and properly recorded, which is what the law requires.
Use Case: An international bank used Foundry for AML to get a single view of risk by combining data from different branches around the world. The bank was able to evaluate and change risk scores in real time based on information like new deals, market changes, and customer profiles.
The approach helped the bank keep risk assessments up-to-date and well-documented so that regulatory bodies could quickly access and check them. This made sure that the bank was following the rules and made decision-making faster.
3. Not taking special steps in high-risk situations
Because the AML Foundry is modular, financial institutions can set up and use special controls and measures for high-risk groups. Each case’s risk level and unique features allow for the customization of better due diligence procedures and more intense tracking.
Case Study: Using Foundry for AML, a bank was able to automatically divide its customers into risk groups. For customers with a high risk level, the system added stricter due diligence rules that included a more in-depth look at each transaction and more frequent reviews.
This proactive method resulted in better identification and management of high-risk clients, making the institution less vulnerable to potential financial crimes and regulatory fines.
4. Failing to keep an eye on?things
Palantir Foundry makes ongoing tracking easier by allowing you to combine and view real-time transaction data. The platform’s advanced analytics enable constant monitoring of all transactions. This helps to spot and report changes in risk profiles or odd behavior as they happen. This feature helps with proactive compliance and makes sure that banks can quickly react to possible threats.?
? ?Use Case: A foreign bank utilized Foundry’s AML features to monitor transactions in real-time. The system monitored all customer transactions and promptly reported any unusual activity based on risk-based behavior patterns and pre-established scenarios.
As a result, the bank was able to react quickly to possible threats. Days-long investigations now conclude within hours. This quick-answer feature made the bank much more likely to follow the rules, which lowered the risk of big fines.
5. Not keeping track of the steps taken and information gathered
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Because Foundry for AML has full logging and reporting features, it instantly keeps track of all the actions and data gathered during the customer lifecycle. This includes detailed records of risk assessments, choices made, and reasons for those decisions. This makes sure that financial institutions can give regulators the accountability and traceability they need.?
? ?Use Case: A large financial institution used Foundry for AML to automate the record-keeping process. The system kept track of every transaction, risk assessment, decision, and investigation and linked them to individual customer profiles.?
? ?In addition to meeting the stringent regulatory requirements for record-keeping, this automated, thorough documentation process provided the bank with a robust audit trail for both internal reviews and regulatory visits.
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?Overall Pros of the?Solution
Reduced fake positives and better decision-making: The Foundry for AML makes alert generation more accurate, lowering the number of fake positives and focusing on real risks.
Agility and Scalability: The platform’s design promotes scalability and flexibility, allowing financial institutions to quickly adjust to new rules and operational requirements.
Cost-effectiveness: The Foundry for AML reduces practical compliance costs by automating and streamlining different AML processes.
Detailed case?analysis
Imagine a large, multinational bank?—?let’s call it Global Bank Inc.?—?that operates across multiple continents with millions of customers. Global Bank Inc. faces significant challenges in managing AML risks due to its vast and varied customer base, each requiring different levels of scrutiny and regulatory adherence. The bank had been using a legacy system that was slow, rigid, and increasingly unable to cope with the sophistication of financial crimes or the speed of regulatory changes.
Implementation of Foundry for?AML
Global Bank Inc. decided to overhaul its AML processes by implementing Palantir’s Foundry for AML. The transition was driven by a pressing need to enhance their compliance framework following a near-miss with regulatory penalties due to delayed and inadequate suspicious activity reporting.
Detailed Scenario Walkthrough
1. Enhanced Detection of Suspicious Transactions
Global Bank Inc. utilized Foundry for AML to integrate over 20 disparate data sources previously siloed across different departments. This integration allowed the bank to employ advanced analytics to automatically score each customer against 25 key risk indicators, derived from their transaction patterns, demographic data, and cross-referenced against peer behaviors.
Real-Life Example: One particular case involved a series of high-value transactions flagged by the system which deviated significantly from the norm for similar accounts. The transactions were linked to a newly onboarded business client that had not yet established such patterns. Foundry for AML’s sophisticated behavior analysis tools flagged these for immediate review, which upon investigation, revealed a complex layering scheme designed to launder money through international trade. This early detection allowed Global Bank Inc. to take swift action, preventing potential legal complications.
2. Dynamic Risk Assessment and Documentation
With Foundry for AML, Global Bank Inc. could dynamically assess and update risk profiles in real-time. The system aggregated data from global transactions, market developments, and even geopolitical shifts, providing a continuously updated risk landscape.
Real-Life Example: When political instability escalated in a region where Global Bank Inc. had significant exposure, Foundry for AML adjusted the risk ratings of affected entities in real-time. This proactive adjustment ensured that compliance teams could prioritize monitoring and review processes for these high-risk entities, streamlining compliance and resource allocation.
3. Special Measures for High-Risk Categories
Using the modular capabilities of Foundry for AML, Global Bank Inc. could apply enhanced due diligence processes automatically to identified high-risk customers.
Real-Life Example: A high-net-worth individual with political connections and operations in sensitive countries was automatically categorized as high-risk. Foundry for AML ensured that all transactions involving this individual underwent additional screening and that any anomalous behavior was flagged and queued for human analysis, leading to the discovery of unauthorized asset transfers.
4. Continuous Monitoring and Real-Time Alerts
Foundry for AML’s real-time monitoring capabilities meant that Global Bank Inc. could watch over customer transactions around the clock without human intervention unless necessary.
Real-Life Example: An anomaly in small, frequent transactions was detected in real-time from an account that typically exhibited low activity. This pattern matched a common method used for ‘smurfing’, a type of money laundering. Immediate alerts enabled compliance officers to freeze the suspicious transactions while further investigation was conducted, which confirmed the suspicion and prevented further illicit activity.
5. Comprehensive Record-Keeping
The deployment of Foundry for AML transformed the way Global Bank Inc. documented its compliance activities. Every decision, assessment, and investigation was automatically logged and linked within the system.
Real-Life Example: During a routine audit, regulators requested detailed records of compliance activities for a specific high-risk client. Foundry for AML provided a comprehensive audit trail of all actions taken, from initial risk assessments to detailed investigation reports, showcasing the bank’s diligence and thoroughness in compliance measures.
By adopting Palantir Foundry for AML, Global Bank Inc. not only fortified its defenses against financial crimes but also enhanced its operational efficiency and regulatory compliance. This strategic move helped the bank to manage its risk more effectively, reduce operational costs, and significantly improve its relationship with regulators and stakeholders.
This detailed use case illustrates the transformative potential of integrating advanced AML solutions like Foundry for AML in a global banking environment, making it a compelling story of innovation and proactive compliance in the modern financial sector.
Exciting insights into the future of risk management and compliance. ?? Vivek Viswanathan