While transaction monitoring encompasses a broad spectrum of activities, this training specifically focuses on the AML (Anti-Money Laundering) and Fraud Detection Transaction Monitoring use cases. The training is designed to support compliance efforts and is structured around this guidance. This guidance is intended to be adapted by compliance managers to align with an organization’s specific regulatory obligations, which are often derived from Financial Action Taskforce (FATF) guidelines and further reflected in the Wolfsberg Principles.
It is important to note that Jube operates as a real-time system. As a result, while the training emphasizes implementation of this guidance other transaction monitoring use cases will also be comprehensively addressed by implication. The underlying concepts are largely adjacent and require similar methodologies, albeit with subtle differences in application.
This training is delivered by Richard Churchman, the developer of Jube.
Program Outcomes:
- Confidently Implement and Manage Jube: Master Jube’s AML (FATF/Wolfsberg-aligned) and Fraud Detection Transaction Monitoring, User Interface navigation, API integration (e.g., Postman), and rule strategies (Gateway/Abstraction/Activation Rules) for abuse detection.
- Optimize Jube for Performance & Security: Configure caching, sanctions screening, and suppression techniques ( keys/total/rule-based); use TTL counters for high-volume transaction tracking.
- Accelerate Adoption with Best Practices: Build/evaluate predictive models (fraud/credit risk); implement ML via Exhaustive training; design case management workflows (tracking, forms, audits).
- Troubleshoot & Debug (Developers): Explore Jube’s architecture (Docker/Redis/Postgres), debug with INFO-level logs, and manage async processes (AMQP) and background threads.
- Leverage Advanced Compliance Features: Apply fuzzy matching (Levenshtein) for sanctions, trigger real-time alerts/cases via Activation Rules, and create custom dashboards for oversight.
Training Plan:
The following is an abridged version of the full Jube Training Plan (pdf).
The training spans 3 to 4 days, with each day lasting 6 to 8 hours, depending on elective modules. Elective modules provide in-depth training on advanced administrative concepts using dedicated servers. These are ideal for technical participants responsible for system administration but do not require developer expertise.
For organizations with developer teams, an additional day is available to familiarize them with the Jube codebase for business continuity. This session covers software patterns, frameworks, coding standards, and hands-on debugging.
Day 1: Configuring Models, Messaging and Rule Strategy:
- AML Monitoring Compliance Guidance Overview and Fraud Detection Transaction Monitoring
- Introduction to Jube and Key User Interface Concepts
- Models and HTTP Messaging
- Request XPath Payload
- Inline Functions
- Gateway Rules
- Abstraction Rules
- Abstraction Calculations
- Activation Rules
- Lists and Dictionaries
- Workshop
- Elective: Architecture and Caching, Environment Variables, Installation, and Log Configuration
Day 2: Suppressions, Sanctions, Machine Learning and Case Workflow:
- Suppression
- Sanctions Fuzzy Matching
- Time To Live (TTL) Counters
- Introduction to Machine Learning
- Exhaustive Machine Learning Training
- Activation Watcher
- Tags
- Case Workflows
- Workshop
- Elective: Tracing Transaction Flow, High Availability, Performance Counters, AMQP
Day 3: Permissions, Database, Reporting, Reprocessing and Extensibility:
- Users, Roles, and Permissions:
- SQL Database Discovery
- Visualization and Reporting
- Reprocessing
- Inline Scripts and Remote Procedure Calls (RPC)
- Scores via Synchronous RPC
- Synchronous Messaging and Advanced Data Engineering
- Workshop
- Elective: Tracing Transaction Flow, Bottleneck Analysis, and Cache Training
Day 4 (Optional): Developer Workshop:
- Software Patterns
- C# Solution and Project Overview
- Building and Running
- Stepping and Debugging .NET Hosting, Dependency Injection, and Migrations
- Stepping and Debugging the User Interface (Frontend and Backend):
- Stepping and Debugging Background Threads
- Stepping and Debugging Detailed Transaction Flow and Algorithms
- Stepping and Debugging Exhaustive Model Training
Resources:
- Jube AML Monitoring Compliance Guidance
- Training Plan for Implementation of AML and Fraud Detection Transaction Monitoring with Jube
- Jube Documentation
Conclusion:
In conclusion, Jube’s comprehensive training program is designed to empower professionals with the knowledge and skills necessary to effectively implement, manage, and optimize Jube within their organizations. By offering a blend of core concepts, advanced features, and elective modules, the program ensures participants gain hands-on experience and practical insights tailored to their roles—whether they are developers, compliance officers, fraud prevention specialists, or system administrators.
The structured agenda, spanning 3 to 4 days, provides a deep dive into Jube’s capabilities, from AI-driven solutions and sanctions fuzzy matching to performance optimization and debugging. With optional developer training, organizations can also ensure their technical teams are well-equipped to maintain and troubleshoot the system for long-term business continuity.
By attending this program, participants will not only accelerate the adoption of Jube but also facilitate their ability to leverage its advanced features for fraud detection, compliance, and financial crime prevention. Ultimately, this training equips organizations to maximize the value of Jube, ensuring scalability, security, and operational efficiency in an ever-evolving landscape.
For those ready to take the next step, Jube’s training program is an invaluable investment in building expertise and driving successful implementation.