Companies we have worked with:
- Design and implementation of robust fraud risk management frameworks
Establishing scalable, efficient frameworks aligned with your business model, risk appetite, and regulatory obligations.
- Fraud and AML prevention system implementation and enhancement
Supporting the selection, configuration, and deployment of fraud and AML solutions, ensuring effective integration with your existing systems and processes.
- Decisioning, rules, and scenario optimisation
Enhancing detection accuracy through data-driven optimisation of rules, scenarios, and decision strategies to reduce false positives while improving fraud detection rates.
- Fraud trend analysis and risk gap assessments
Identifying emerging fraud patterns, control weaknesses, and exposure gaps through detailed analysis, enabling proactive risk mitigation.
- End-to-end anti-fraud and regulatory support
Addressing internal and external fraud threats while supporting regulatory compliance, remediation activities, and audit or supervisory closure.
- Automated, scalable data pipeline design and implementation
Building resilient data pipelines to support seamless data ingestion, transformation, and delivery.
- Real-time and batch data processing frameworks
Implementing architectures that support both real-time event processing and batch analytics.
- Legacy data architecture modernisation
Transforming outdated data platforms into flexible, high-performance architectures that improve scalability, interoperability, and cost efficiency.
- Data quality, governance, and lineage enablement
Establishing controls and frameworks to ensure data accuracy, traceability, and compliance.
- Enterprise data integration and harmonisation
Integrating data from core banking platforms, payment systems, fraud engines, and external sources to create unified, high-quality datasets.
- Analytics and data science enablement
Partnering with analytics and data science teams to deliver trusted data foundations that accelerate advanced analytics, machine learning, and decision intelligence.
- Financial Crime & Transaction Monitoring System Implementation
Designed and deployed end-to-end monitoring platforms to detect, investigate, and prevent financial crime, ensuring compliance with AML, sanctions, and regulatory requirements.
- Fraud Algorithms Implementation
Developed and integrated advanced fraud detection algorithms, leveraging machine learning and data analytics to identify suspicious patterns, reduce false positives, and improve detection accuracy.
- Risk Management Reporting Systems Implementation
Built comprehensive reporting and dashboard solutions to provide real-time visibility into operational, financial, and compliance risks, supporting informed decision-making and regulatory compliance.
- Credit Bureau Data Feeds & Reporting
Implemented automated data pipelines and reporting systems to consume, process, and analyse credit bureau data, enhancing credit risk assessments and supporting regulatory reporting requirements.
- Exchange & Banking Data Pipelines & Cloud Infrastructure
Designed and implemented robust data pipelines and infrastructure for high-volume exchange platforms, enabling secure, real-time ingestion, transformation, and delivery of transactional and market data.
- Bespoke Web Applications & APIs
Delivered custom web applications and API solutions tailored to client-specific needs, enabling seamless integration, enhanced automation, and improved operational efficiency across diverse business functions.