Implementation and Calibration of Fircosoft Continuity – One of our banking customers migrated their payment filtering solution to the last version of Fircosoft. We calibrated the software (business rules and scoring) in order to lower the rate of false positives that were higher than the industry’s average.

Calibration of Bridger XG – One of our banking customers was implementing Trade360 (from CGI) as a trade finance platform. We were asked to calibrate Bridger XG, which is embedded into Trade360, in order to make sure that the filter’s behaviour would match the risk appetite of the CAMLO.

Implementation and Calibration of Fircosoft Trust – In the context of the new regulation around domestic PEPs, one of our banking customers migrated their customer filtering solution to the last version of Fircosoft. We were asked to review the entire filtering process, including data sources, risk scoring mechanisms, processes and procedures, fuzzy matching algorithms, matching scoring, and business rules for auto-closing of alerts.

Filtering solution selection and implementation – One of our insurance industry customers was ready to upgrade their customer filtering solution. We were mandated to develop a benchmarking methodology in order to assess the different solutions available. This methodology evaluates the capacity of each solution to match the risk appetite of the CAMLO.

Calibration of Fircosoft Trust – One of our banking customers’ filtering operations were suffering from a massive number of false-positive alerts. We reviewed their process and implemented a segmented filtering model based on the different risks they were facing. After tuning these filtering models, false-positive alerts went down drastically.

Transaction monitoring on SWIFT international payments – The high-risk business of international payment processing requires special monitoring as its transaction structure and complexity doesn’t fit standard transaction monitoring systems. Many of our banking customers relied on our specifically tailored transactions monitoring scenarios (implemented in SAS) and our capability of calibrating them so they are aligned with their risk appetite. 

Transaction monitoring system selection and implementation – One of our banking customers retained our services in the process of selecting their new AML transaction monitoring platform. This multi-year project included implementation and calibration of scenarios, following a risk-based roadmap.

Transaction monitoring system implementation – We delivered a detailed transaction mapping, from the bank’s thousands of cryptic operational transaction codes, to Actimize’s more generic transaction buckets. This allowed for precise development and calibration of monitoring scenarios. 

Transaction monitoring scenario calibration – One of our banking customers migrated their SAS transaction monitoring systems to a newer version. We were involved in the testing strategy, the migration and testing of existing scenarios and the implementation and calibration of new scenarios.

Customer risk scoring – We were involved in multiple customer risk scoring projects, either for designing a risk scoring algorithm (based on customer information, geography and product holding), calibrating an existing algorithm in the context of regulation changes, or adding complexity and refinement to an existing algorithm in order to better represent the actual AML risk.

Correspondent Banking risk monitoring – Our success with SWIFT transaction monitoring led us to develop a deep understanding of the Correspondent banking business and the complexity of the underlying operations. Strong of this knowledge, we helped many banks to score each of their Correspondent banks from a risk perspective, based on their own correspondent network ramification. Furthermore, by continuously monitoring the network operations, we were able to adjust the AML risk to the evolution of the international transaction patterns.