Malverde provides specialist consulting and technology services to help financial institutions detect and prevent financial crime, including anti‑money laundering, fraud, and sanctions compliance. Their offering combines risk assessments, data analytics, bespoke model development, and technology solutions such as transaction monitoring and name‑screening to reduce false positives, lower operational costs, and improve investigative efficiency.
Funding
Funding not disclosed
Founders
Product
Problem
Financial institutions face high volumes of false positives, costly manual investigations, and fragmented controls in anti‑money laundering, fraud, and sanctions compliance, leading to operational inefficiencies and residual financial crime risk.
Solution
Malverde offers a combined consultancy and software platform that helps banks, neobanks, payment service providers, and crypto firms assess their financial crime risk, tune detection rules, and implement optimized technology solutions. Their services include risk assessments, transaction‑monitoring typology reviews, bespoke model development, and end‑to‑end system design for AML, fraud, and sanctions screening. By aligning data engineering, analytics, and automation with regulatory requirements, they reduce false positives, lower investigation costs, and improve detection of illicit activity. Clients receive ongoing process optimization, investigator training, and KPI management to sustain effective controls. The approach blends hands‑on implementation expertise with scalable technology components such as name‑screening, payment screening, watch‑list optimisation, and social‑network analytics.
Target Audience
Primary customers are banks, challenger/neobanks, payment service providers, electronic money institutions, and crypto‑asset firms that need to strengthen AML, fraud, and sanctions compliance while reducing operational costs.
Features
- Comprehensive risk coverage assessments for AML, sanctions, and product risk
- Rule‑tuning services (above‑line and below‑line analysis) and bespoke model development
- Data engineering and visualisation pipelines to support accurate monitoring
- Technology stack including AML transaction monitoring, payments fraud detection, name and payment screening, and watch‑list optimisation
- Social network analytics to uncover hidden relationships in illicit activity
- Process review, investigator training, certification, and KPI management
- Automation of investigation narratives and case‑management workflows
- Penetration testing and independent health checks of financial crime controls