BioCatch

About the Company

BioCatch prevents financial crime by recognizing patterns in human behavior. We continuously collect more than 3,000 anonymized data points - keystroke and mouse activity, touch screen behavior, physical device attributes, and more - as people interact with their digital banking platforms. With these inputs, our machine-learning models reveal patterns in user behavior and provide device intelligence that, together, distinguish the criminal from the legitimate. Today, more than 30 of the world's largest 100 banks and 287 total financial institutions deploy our solutions, analyzing 16 billion user sessions per month and protecting 532 million people around the world from fraud and financial crime. Fraud is incessant, pervasive, and ever-evolving. It's relentless. And that's why, at BioCatch, we fight to make banking safer every day.

Listed Jobs

Company Name

BioCatch

Job Title

Fraud Intelligence Research Analyst

Job Description

**Job Title:** Fraud Intelligence Research Analyst **Role Summary** Conduct global fraud trend analysis using BioCatch and external data sources. Translate findings into actionable insights, written content, and presentations to support sales, marketing, and internal collaboration. Build and maintain analytical data repositories and dashboards, and drive process efficiencies in data analysis. **Expectations** - Deliver high‑quality research reports and storytelling materials on time. - Effectively communicate findings to both technical and non‑technical audiences. - Act as a trusted intelligence conduit across cross‑functional teams. - Continuously improve data processes through automation and thoughtful design. **Key Responsibilities** - Analyze BioCatch data at global and regional levels. - Conduct independent research and analysis of external fraud data sources. - Identify fraud trends and produce data‑driven insights for Digital Banking Fraud Trends reports, threat landscapes, and forensic case studies. - Create clear, compelling written content that tells the story behind the data. - Present findings internally and at external events. - Serve as the primary liaison for intelligence sharing within the organization. - Build and maintain a self‑service data repository and dashboards to empower internal teams. - Identify opportunities for process improvements and implement automation in data analysis workflows. **Required Skills** - Data analysis and statistical modeling proficiency. - Intermediate to advanced SQL skills. - Familiarity with Python and/or R (advantageous). - Strong written and verbal communication; presentation abilities. - Team collaboration and strong interpersonal skills. - Rapid learning ability, adaptable to new tools and data sets. - Multilingual capability (second/third languages preferred). **Required Education & Certifications** - Bachelor’s or Master’s degree in STEM (Computer Science, Data Science, Statistics, Engineering) or equivalent self‑directed technical education in data analytics and programming for fraud research. ---

Paris, France

On site

11-12-2025