AI-powered fraud detection and AML platform for financial institutions
Lynx builds real-time fraud and anti-money laundering detection for banks and payment processors. The tech stack centers on Elasticsearch + AWS + Python, with active projects focused on Elasticsearch optimization and cloud-based AML pipelines — reflecting a high-volume, real-time data challenge. Engineering dominance in the hiring mix (10 of 15 active roles) and pain points around Elasticsearch cluster maintenance and real-time detection suggest the company is scaling detection throughput rather than breadth of features.
Lynx is an AI-driven fraud and financial crime prevention platform serving multinational financial institutions and payment providers. The product uses machine learning and behavioral monitoring to detect and prevent fraud, money laundering, and other financial crimes in real time. Founded in 2023 and based in Madrid, the company operates with 51–200 employees and is actively hiring engineers and product specialists across Spain and Brazil. The platform architecture integrates Elasticsearch for transaction search and indexing, AWS for cloud infrastructure, and Python for detection logic, with ancillary tooling for quality assurance (Jenkins, SonarQube, Cypress) and case management (Jira, Redmine).
Elasticsearch, AWS, Python, Docker, SQL, PostgreSQL, Oracle, and DB2. The company also uses Jenkins and SonarQube for CI/CD, Jira for project management, and Salesforce and HubSpot for CRM. Adopting Power BI for analytics.
Yes. Engineering comprises 10 of 15 active open roles, with a mix of senior (6 total), mid (5), and junior (4) levels. The company is hiring in Spain and Brazil.
Real-time AML detection platforms, fraud detection for payment methods, Elasticsearch architecture optimization, and cloud-based financial crime detection solutions. Active projects include new fraud detection modules and AWS integration work.
Other companies in the same industry, closest in size