Fraud Intelligence Research Analyst

This is a fully remote position, open to applicants in Europe.

📋 Description

• Conduct research and analyze global fraud trends to enhance impactful marketing and thought leadership initiatives.

• Utilize AI-assisted analytical tools to examine BioCatch data on both global and regional scales as appropriate.

• Recognize patterns and leverage fraud expertise alongside contextual judgement to validate and interpret findings.

• Perform research and analysis using various external data sources.

• Discover data-driven insights for Digital Banking Fraud Trends reports, threat landscapes, and forensic case studies.

• Produce high-quality written content that transforms intricate data and concepts into engaging narratives.

• Create and develop effective visual representations of complex data.

• Present findings both internally and externally at BioCatch events.

• Serve as an internal channel for sharing intelligence across BioCatch teams.

• Establish and sustain a data repository and self-service dashboard equipped with automation and AI-driven querying functionalities.

• Identify and implement efficiencies and automation processes in data analysis.

• Stay updated with emerging AI technologies and explore potential workflow applications.

⛳️ Requirements

• A bachelor's/master's degree in a STEM field and/or self-directed technology-focused education in programming for data analytics, coupled with a passion for combating fraud.

• Several years of experience in banks' fraud and/or financial crime departments, showcasing a proven track record in investigating actual fraud cases.

• Proficient in SQL at an intermediate/advanced level.

• Familiarity with Python and/or R is advantageous.

• Practical experience with AI tools for research and analysis, with a solid understanding of their strengths, weaknesses, and limitations.

• Excellent written and verbal presentation abilities.

• Capability to create insightful data visualizations that narrate compelling stories.

• Proficiency in second or third languages is preferred.

• A strong investigative mindset, capable of questioning assumptions and challenging data-driven outputs when necessary.

• Ability to navigate ambiguous environments with incomplete or imperfect data, applying reasoning and experience to derive strong, defensible conclusions.

• Strong communication skills and a collaborative approach.

• A curious, proactive attitude with a willingness to experiment with new methodologies and tools, including AI.

• A self-directed approach to embracing new technologies and rapid learning.

🏝️ Benefits

• Competitive salary and performance-based incentives.

• Opportunities for professional development and continuous learning.

• Flexible working arrangements and a supportive work environment.

• Health and wellness programs to promote employee well-being.

• Access to the latest technology and tools to enhance productivity.