8 total views
Last updated: 3 days ago
20k TPS
Architecture for massive transaction volume
48 Clones
Distinct users, every two weeks
6 Weeks
Capable practice area in under six weeks
20 Years
Written by a developer with 20+ years in AML and Fraud Detection

Specialized Industries

Technology

Trusted by Leading Organizations

Third Party Processor in a populous emerging market

About Jube

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Jube is an open-source AML and fraud detection platform purpose-built for real-time transaction monitoring, case management, and regulatory compliance.

We partner with System Integrators and Professional Services practices to transform financial crime technology from a cost center into a strategic differentiator for their banking clients. Given the nature of the work, testimonials are not listed here, but it would be a pleasure to introduce reference sites upon enquiry.

System Integrators serving the banking sector face an impossible trilemma. Their clients demand bulletproof AML and fraud detection—compliance is non-negotiable given escalating fines and intensifying regulatory scrutiny. Yet dominant proprietary vendors impose eye-watering license fees, severe vendor lock-in, and closed architectures incompatible with data sovereignty requirements. Meanwhile, System Integrators themselves struggle to differentiate in a commoditized market, competing solely on implementation costs and eroding margins.

The core issue isn't technology—it's misaligned economics and missing capabilities. Banks need regulatory assurance without vendor dependency. System Integrators need defensible competitive advantages that justify premium positioning. Both need architectural sovereignty and freedom from the pricing tyranny embedded in legacy platforms.

Jube delivers regulation-first, open-source infrastructure that solves this disconnect. We provide the compliance certainty banks require while creating genuine centers of excellence for System Integrators. Our platform enables customization, IP differentiation, and the architectural sovereignty modern financial institutions demand. System Integrators gain full source code access, eliminate prohibitive licensing costs, and secure control over infrastructure and data—transforming from implementation vendors into strategic compliance partners with sustainable competitive advantage.

Daily rate
US$800 – US$1,500
Number of employees
1 to 10
Years trading
4
Has own premises
No
Apprenticeships
No
Funded Courses
No

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Problems We Solve

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Client Results

T

Third Party Processor in a populous emerging market

Challenge:

Client needed to rapidly build an in‑house team and capability to deliver high‑volume, real‑time transaction monitoring for client banks.

Solution:

Client completed an intensive six‑week enablement program combining structured training, developer workshops, and ongoing coaching. Eleven developers gained hands‑on expertise across configuration, rules, workflows, and code‑level debugging, enabling the creation of a fully capable in‑house practice.

Results:

Achieved 20k TPS capacity in testing, trained 11 developers, and built a new transaction‑monitoring practice in six weeks.

20 Participants

Specialized Industries

  • Technology

Exclusive Resources

  • Jube AML Monitoring Compliance Guidance

    This document provides a comprehensive framework for implementing Anti-Money Laundering (AML) transaction monitoring using Jube, an open-source platform designed for fraud prevention and financial crime detection. It addresses the full spectrum of AML compliance requirements, from risk factor identification and customer due diligence to machine learning-based anomaly detection and case management workflows. The framework emphasizes a data-driven, risk-based approach aligned with regulatory guidance, while maintaining practical focus on implementation within real-world financial institutions.

    PDF0 Downloads

Trainers

Richard is a senior Cloud Architect and Software Developer with over twenty years of experience delivering enterprise-grade financial crime, fraud, and AML technology solutions for major global institutions. Based in Cyprus and working internationally across EMEA and Asia, he specializes in the design and implementation of high-throughput, real-time transaction monitoring systems for banks, PSPs, and financial service providers. Richard founded Jube after designing and deploying a real-time AML transaction monitoring platform for a major PSP handling 1.6 million daily transactions. The platform passed both Mastercard and external AML audits, validating its effectiveness and enabling the client's continued licensing and operational compliance. He open-sourced the core system as Jube, now averaging 30 weekly codebase clones and actively used by organizations with in-house engineering teams. His AML and fraud prevention experience includes building platforms that process over 100 million transactions per day for Tier-1 banks, payment processors, and global enterprises. He has implemented critical fraud and AML screening systems at Mastercard, FIS, Capital One, Experian, and multiple leading banks across EMEA, with MasterCard EMS and DMS implementations spanning Europe and Asia. Richard maintains deep regional expertise across the Gulf and broader Middle East, currently delivering: Multi-tenanted transaction fraud monitoring for a high-volume bank PSP in Pakistan, supporting multiple payment channels with highly available infrastructure using Docker Swarm, Redis, PostgreSQL/Patroni. Real-time card fraud and eBanking fraud prevention for a large bank in Lebanon, a Kuwaiti bank in Egypt, and the largest bank in Egypt. Corporate credit lending marketplace for a development bank in Qatar, aggregating lending from regional banks using advanced real-time data pipelines. Financial statement automation product in Saudi Arabia, integrating with local credit bureaus. Working for a regional partnership with Moody's CreditLens, supporting 130+ banks across the Middle East as Chief Software Architect. His regional consulting includes supporting financial institutions across Lebanon, Egypt, the Gulf, and wider EMEA with fraud prevention, AML controls, real-time monitoring, and regulatory compliance implementations. Richard's career includes leadership roles at Mastercard (presenting at fraud conferences to 200+ industry professionals), FIS, and other Tier-1 institutions. He founded and successfully exited a fraud prevention software company, acquired by a U.S. NASDAQ-listed corporation. Additional experience includes Moody's CreditLens regional architecture, ISO27001 automated compliance platforms using LLMs, IoT analytics for a major U.S. airline (400k device fleet), and mission-critical projects including a 12-billion-record cloud data migration. Richard has trained over 500 professionals worldwide in machine learning, R, SQL, and risk analytics, delivering developer-centric AML training for institutions adopting or modernizing their financial crime technology stack. His advanced analytics training manual consistently receives five-star ratings, with reviews citing it as "perhaps the best, most to-the-point course in machine learning with R ever." Richard is a hands-on architect with deep expertise in C#, .NET, TypeScript, Node.js, PostgreSQL, Oracle, Kafka, RabbitMQ, Redis, and cloud environments including Azure, AWS, and DigitalOcean. He builds horizontally scalable systems, leads code standards and reviews, and supports engineering teams through modernization, refactoring, and best-practice implementation. Richard brings a rare combination of AML domain expertise, enterprise-level engineering capability, and proven Middle East delivery experience, supporting clients in adopting, enhancing, or re-platforming AML and monitoring systems with a practical, evidence-based approach that balances regulatory expectations, technical feasibility, and long-term maintainability.

Specialties:
Anti Money Laundering (AML) and Know Your Customer (KYC)Data ScienceMachine LearningCoding / programmingFraud prevention and detection
Languages:
English

Reviews

(2 reviews)
5
out of 5

Jube Certified Application Specialist

06 Feb, 2026In Person

5/5

From no transaction monitoring capability to a practice area facing into a large banking client base in six weeks.

Technical skill / innovation5/5Helpfulness / flexibility5/5Value for money5/5Level of customisation5/5

Advanced Analytics with R

06 Feb, 2026In Person

5/5

Perhaps the best, most to-the-point course in machine learning with R ever.

Technical skill / innovation5/5Helpfulness / flexibility5/5Value for money5/5Level of customisation5/5