Las herramientas de supervisión de transacciones de Fenergo ofrecen una supervisión de transacciones y una gestión de alertas continuas, eficaces y basadas en datos que reducen los falsos positivos, lo que le permite centrar los recursos en los clientes de mayor riesgo y mantener el cumplimiento de la normativa de prevención de blanqueo de capitales a escala.
Cumplimiento a prueba de futuro con reglas de detección, flujos de trabajo e informes preconfigurados, así como supervisión continua de la normativa global y local de prevención del blanqueo de capitales (AML).
Reduce false positives with a unique hybrid detection model. Our collection of robust detection scenarios optimize performance of AML processes and minimize false positives.
Configurable, escalable y flexible: la supervisión de transacciones de Fenergo conecta todos los elementos del proceso de prevención de blanqueo de capitales, incluidos los datos del perfil de la entidad, la puntuación de riesgos y el filtrado de sanciones.
La configuración sin código permite a su empresa adaptar la solución a sus necesidades empresariales y a los clientes y jurisdicciones a los que presta servicio.
"Elegimos a Fenergo tanto por su funcionalidad avanzada y directa de CLM para usar como por su tecnología v8 que encaja bien con nuestro propio panorama tecnológico modernizado. Estoy deseando trabajar con el equipo de Fenergo y su amplia comunidad de clientes para contribuir a la continua evolución de los productos y las hojas de ruta normativas".
"Client onboarding is one of the first experiences clients will have with StoneX and we are excited to take this step towards improving our CLM platform and processes. This will allow us to provide a better experience to our clients while supporting growth in our revenues and compliance with our regulatory obligations."
"The rapid growth of Mizuho Americas prompted us to look ahead to a more scalable solution that can handle our expanding client data set and an increasingly demand regulatory environment across the many markets in which we operate. It became obvious that choosing a partner company like Fenergo that specializes on the entire client lifecycle management was a good strategic decision".
Transaction monitoring is critical to the financial system. It helps institutions to detect and investigate suspicious transactions and report them to the relevant authorities. This helps to identify bad actors and keep the financial system safe. Transaction monitoring is a regulatory obligation for all regulated financial institutions.
Detect. Using methods, usually rules, to identify unusual or suspicious transactions that are flowing through the financial system. Examples include unusually high value transactions, or money flowing to/from restricted countries.
Investigate. The process of analysing a suspected suspicious transaction and the associated transaction data, and the data of the involved parties, to determine if it is truly suspicious or a genuine transaction (aka. a false positive).
Report. Notifying the relevant authorities (local Financial Intelligence Unit - FIU) of the suspicious transaction and handing over information you have gathered to aid them in further investigations into the incident.
Continuous Monitoring. Ongoing monitoring of the same accounts to identify any further incidents of suspicious behaviour.
1. The high volumes of false positive alerts that are generated causes a lot of strain on compliance teams; they spend too much time investigating transactions that turn out to be genuine.
2. Siloed KYC and transaction data. In order to make informed and accurate decisions on suspicious activity it is crucial that you have access to both KYC and transaction data for clients. KYC information forms the basis for how we determine if transactions are suspicious in many cases. For example a person with a monthly income of €5k suddenly receives €20k into their account, this can be deemed suspicious as it is unusual activity for their account.
3. Poor data analytics, dashboards and reporting are a real problem for compliance managers. Without the ability to analyse trends in suspicious activity or performance in detection scenarios it is impossible to adjust and improve to effectively lower false positive rates.