List of Oracle Mantas AML Customers
Austin, 78741, TX,
United States
Since 2010, our global team of researchers has been studying Oracle Mantas AML customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Oracle Mantas AML for AML, Fraud and Compliance from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Oracle Mantas AML for AML, Fraud and Compliance include: Wells Fargo, a United States based Banking and Financial Services organisation with 205198 employees and revenues of $83.70 billion, Deutsche Bank, a Germany based Banking and Financial Services organisation with 89879 employees and revenues of $35.69 billion, Bank of Montreal, a Canada based Banking and Financial Services organisation with 53597 employees and revenues of $25.19 billion, Maybank, a Malaysia based Banking and Financial Services organisation with 43000 employees and revenues of $5.37 billion, Monex, a Mexico based Banking and Financial Services organisation with 2243 employees and revenues of $749.0 million and many others.
Contact us if you need a completed and verified list of companies using Oracle Mantas AML, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the TRM software purchases.
The Oracle Mantas AML customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of TRM software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
Apply Filters For Customers
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight | Insight Source |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
Bank of Montreal | Banking and Financial Services | 53597 | $25.2B | Canada | Oracle | Oracle Mantas AML | AML, Fraud and Compliance | 2013 | n/a | In 2013, Bank of Montreal implemented Oracle Mantas AML to support transaction monitoring within its AML, Fraud and Compliance program. The deployment positioned Oracle Mantas AML as the bank's primary transaction monitoring engine inside the AML, Fraud and Compliance technology stack, operating under the AML & Fraud Technology organization at BMO Financial Group in the Toronto, Canada area. Oracle Mantas AML was configured for enterprise transaction monitoring workflows, including rules and scenario configuration, alert generation and tuning, and integration points for downstream investigation processes. Configuration and customization work emphasized bank-specific detection scenarios and operational tuning consistent with transaction monitoring practices for AML and fraud detection. The Oracle Mantas AML instance was integrated into a broader AML and fraud ecosystem, with explicit linkages to Norkom NetReveal for name scanning, Actimize for customer risk scoring, Wolters Kluwer for cash transaction reporting, in-house large cash transaction reporting, SBS for adverse media screening, and LexisNexis for sanction screening. Those integrations established Oracle Mantas AML as a central feed and detection layer that exchanged alerts and risk signals with specialized screening, scoring and reporting systems. Governance and operational ownership were managed through BMO's AML & Fraud Technology leadership, with responsibilities spanning development, customization and implementation through transition to support. Bank of Montreal staff managed the application lifecycle, including development to application support transition, maintaining configuration governance and operational tuning within the AML, Fraud and Compliance function. | |
|
|
Deutsche Bank | Banking and Financial Services | 89879 | $35.7B | Germany | Oracle | Oracle Mantas AML | AML, Fraud and Compliance | 2020 | n/a | In 2020, Deutsche Bank implemented Oracle Mantas AML to strengthen transaction monitoring capabilities within its AML, Fraud and Compliance environment. Oracle Mantas AML was positioned to support AFC Modelling and transaction monitoring tuning and optimization across the bank, aligning the application with existing anti financial crime operations. The implementation focused on transaction monitoring model improvements, specifically model tuning for Smaragd and Mantas, data quality assessments, data visualisation and method testing as part of the AFC Modelling lifecycle. Functional workstreams documented business requirements and functional specifications, performed UAT and method testing, and embedded model governance through BRD and FSD reviews led by AFC Modelling subject matter experts. Operationally the deployment was integrated into a broader ecosystem, with Mantas operating alongside the SMARAGD Compliance Suite, TFI and Actimize capabilities and consuming payment and transaction feeds including SWIFT and SEPA formats. Data platform and analytics components cited in the program included Hadoop and Cloudera based data stores for transaction history, and Tableau for visualization, while Jira was used for issue tracking and delivery management, supporting EMEA coverage and country level coordination. Governance emphasized layered portfolio and project management, resource planning for long term projects, change design and implementation, and quality assurance of reports delivered to stakeholders. Ongoing responsibilities included transaction monitoring tuning and optimization, remediation planning for discovered gaps, and cross regional change projects to embed monitoring awareness at country level. | |
|
|
Maybank | Banking and Financial Services | 43000 | $5.4B | Malaysia | Oracle | Oracle Mantas AML | AML, Fraud and Compliance | 2016 | n/a | In 2016, Maybank deployed Oracle Mantas AML to strengthen enterprise monitoring within its AML, Fraud and Compliance environment. The deployment targeted the bank's financial crime compliance and investigation teams in Malaysia, focusing on transaction surveillance and watchlist screening workflows. Oracle Mantas AML was configured to operate as a centralized detection engine, using rules based transaction monitoring, behavioral analytics, watchlist matching and alert scoring. The implementation included centralized case management to manage investigator workflows, case creation, evidence attachment and audit trails. Configuration emphasized configurable detection scenarios, threshold tuning and alert prioritization to align with local regulatory requirements. Integrations included Fico SironKyc/CDD for KYC and customer due diligence enrichment, plus feeds from core transaction processing systems and customer master data to support entity resolution and contextual alerting. Operational governance established formal rule change control, analyst triage procedures and escalation paths into the bank's suspicious activity reporting process. The deployment positioned Oracle Mantas AML as the primary surveillance layer within Maybank's AML, Fraud and Compliance tooling. | |
|
|
|
Banking and Financial Services | 2243 | $749M | Mexico | Oracle | Oracle Mantas AML | AML, Fraud and Compliance | 2014 | n/a |
|
|
|
|
|
Banking and Financial Services | 1027 | $92M | Macedonia | Oracle | Oracle Mantas AML | AML, Fraud and Compliance | 2010 | n/a |
|
|
|
|
|
Banking and Financial Services | 205198 | $83.7B | United States | Oracle | Oracle Mantas AML | AML, Fraud and Compliance | 2016 | n/a |
|
|
Buyer Intent: Companies Evaluating Oracle Mantas AML
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
|---|---|---|---|---|---|---|---|---|
| No data found | ||||||||