Consulting Services
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Requirements definition for AML
Documenting AML work procedures
Auditing AML best practices
Data Remediation
Creating scope of work documents
Gap analysis
Creation of custom models for financial crime monitoring
Building Artificial Intelligence and Machine Learning based models for financial crime monitoring
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Overview of global AML regulations and PMLA
Different flavors of Financial Crime - Fraud, AML and FRAML.
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First level user demo and training for Compass AML
Advanced user training for effective investigations through Compass AML
Seamless reporting through Compass AML
(Compass is an AML product by QDE)
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Productive use of AML systems
Enhancing the use of current legacy systems
Project management of AML implementations
Outsourced AML operations - metrics based first level AML alert screening and closures as an outsourced function.
Evaluation of risk parameters for Risk based approach for KYC
Data Services
High-value business deliverables that include assessing current systems architecture for immediate and future end-user needs. Our solution architects and domain experts have a wide understanding of core systems in use at banking and financial services institutions and work with clients to apply appropriate data and information management, performance optimization, design and integration practices that include several critical use cases.
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Our experts investigate and analyze implementation to understand performance degradation arising from increase in data and recommend performance improvement. Provide a performance review report that offers recommendations for performance enhancements according to the organization’s objectives, such as batch/real-time processing speed, latency and response time. We will work with your team to realize the findings of the performance review report.
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Financial institutions face unique requirements and regulations that impact their ability to efficiently manage large quantities of complex data from multiple sources. Financial crime and compliance reporting is extremely sensitive to data quality issues; therefore efficient data mapping can remove a significant risk from the overall compliance program while also saving time and cost of errors. Navigate consulting has extensive experience in mapping financial data structures to Financial Crime Solutions.
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Each ETL implementation is unique and is dependent on products the bank offers and sources of data from core systems the bank uses. Having developed ETL solutions across a variety of risk and compliance scenarios across banks, insurance securities, finance, wealth management, pension funds and fintech companies, Navigate enables financial institutions to incorporate best practices and build a fast, optimum and scalable ETL process from any source system being used.
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Due to continuous updates and changes in core systems combined with the evolving nature of regulatory reporting requirements, financial institutions are constantly having to ensure source data remains reliably mapped to required changes and updates. Considering the high degree of sensitivity to data issues, performing a well-defined and strategic data quality analysis from source to target can remove a significant risk in financial crime compliance. With experience in providing data mapping services, Navigate enables financial institutions in addressing data quality gaps through in-depth data quality analyses that influence continuous flow of right data and keep financial crime programs up to date.
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Be it for experimentation or for improvising existing models in Artificial Intelligence or using Machine Learning Models for meeting financial crime compliance requirements, Navigate works with financial institutions as they seek more effective means to meet compliance and reporting requirements. Navigate assists clients in building and deploying models on top of existing systems to build custom tools, applications and enhancements.