As regulatory scrutiny increased, and monitoring systems started to generate an enormous number of cases, the option institutions had was to increase manpower to handle the workload. Increasing the manpower have drastically increased the cost of compliance. Such increasing costs have caused enterprises to start looking at advance analytics and data scientists as smarter investments in the long run. Analytics technologies like machine learning models enabled anti-financial crime teams to predict upcoming cases. The technology helped reduce the false positive ratio by a large degree. These systems have remained mostly disparate in siloes, thereby decreasing the Return of Investments (ROI) for most enterprises. Newer FinTech multi country-based products & services have further complicated financial crime risk making detection of organized, sophisticated crimes even tougher.
Traditional Approach – Ineffectiveness in Analytics
Added model management regulations, need for machine learning, and rapid evolution of unknown risks, have been critical drivers for institutions to create sizeable highly skilled analytics team. Large data sets from production & non-production systems are needed for analytics to perform data discovery & regular model optimization. Generally, data provisioning can take very long, and by the time the data is made available, it might already be outdated. Moreover, drastic changes in the risk profile of customers or entities require access to non-production data along with production data. Again, a longer time for data provisioning does not provide must-have coverage to financial crime risk. Lastly, tools with restricted data science languages limit the ability to provide coverage for complex behaviors, such as a network of external & internal parties. This approach makes the data discovery & optimization process expensive & highly inefficient.
RPA Can Win Games but Not a Championship – Investigation Challenges
It is well established that, for cases, investigation analysts spend almost 80% of the time gathering the information and just 20% of the time analyzing the collected data. Time spent gathering data makes the investigation process the most expensive element in financial crime & compliance program. In recent years, Robotics Process Automation (RPA) has been leveraged to solve data gathering challenge. RPA has reduced overall data gathering time significantly, though it does not provide insight & connection between hidden parties. The lack of insight & connections makes the investigation process highly inefficient and exposes institutions to organized financial crime risks.
3 Ways to Turn Anti-Financial Crime Compliance into a Competitive Advantage
With seamless access to production data in a secure and designated discovery sandbox, ability to leverage popular data science languages and graph analytics, both data scientists & investigators can gain an accelerated path to explore financial crimes data & hidden unknown networks interactively.
In the upcoming ACAMS 18th Annual AML & Financial Crime Conference, Oracle is hosting a panel of key industry experts. The Panel, “Innovation Applied: Solving Financial Crime with Advanced Analytics & Intelligence”, features Stuart Davis - Global Head- Financial Crimes Risk Management, and Group Chief Anti-Money Laundering (AML) Officer, Scotiabank is one of the panelists. Stuart Davis continues to speak about his vision of a unified compliance data store for all financial crime needs. This data store is for monitoring, investigation & advanced analytics. Another panelist is Brad Ahrens - Vice President, Compliance Surveillance Technology & Analytics Group, Charles Schwab. Brad Ahrens is a massive advocate of using innovative technologies to improve advance analytics & intelligence productivity. John Sabatini from our partner organization PwC will also be part of the panel. Jason Somrak Chief Financial Crime Consultant will moderate the panel, Oracle and (Jason)-[Loves]->(Graph). Come join us on September 24th between 3:45 PM to 5 PM to listen to insights on how using innovation, compliance investments can be turned into competitive advantages.
Oracle experts will also be showcasing some of our innovative solutions addressing critical issues faced in fighting financial crime at Booth #200. We look forward to meeting you at the ACAMS 18th Annual AML & Financial Crime Conference between September 23rd and 25th in Vegas.