Outseer operates an all-cause fraud prevention platform for financial institutions, built on Python, SQL, and machine learning. The stack reveals a data-science-first engineering approach (Python + ML model development), paired with enterprise sales infrastructure (Salesforce) and process automation tooling (Power Automate, Boomi). Active projects center on anomaly detection and predictive model optimization, while hiring remains sparse across all departments—a pattern consistent with mature, feature-stable fraud platforms where growth comes through deeper penetration rather than headcount expansion.
Outseer provides fraud prevention and risk-based authentication solutions to financial institutions globally, protecting millions of customer accounts and billions of transactions annually. The platform uses machine learning and proprietary consortium data to detect fraud while minimizing false positives and customer friction. Core capabilities span card-not-present (CNP) fraud, account takeover prevention, authorized push payment fraud, 3-D Secure authentication, and real-time payment protection. The company operates from London with a distributed team across the UK, US, India, and Egypt.
Outseer's core stack includes Python and SQL for machine learning and data pipelines, Salesforce for sales operations, Power BI and Tableau for analytics, Azure for infrastructure, and Boomi for integration and process automation.
Outseer is headquartered in London, UK. Active hiring spans the United Kingdom, United States, India, and Egypt across engineering, data, sales, operations, and security functions.
Current projects include machine learning model development and optimization, automated anomaly detection systems, process automation via Power Automate, and tool migrations to improve operational efficiency.
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