Skills

Teamwork Leadership Python Data Analysis SQL Sales Presentation Skills Research Programming Marketing Analytics

Job Specifications

We are expanding our Fraud Intelligence Unit and need passionate fraud fighters to join our team.

Reporting to the Global Fraud Intelligence Director, you will be responsible for the research and investigation of global fraud trends to assist in the creation and development of marketing and thought leadership content that supports our sales and marketing programs. This includes analyzing BioCatch data from all geographies to identify key trends, uncover interesting insights, and ultimately tell powerful stories about stopping fraud.

Key responsibilities:

Analyze BioCatch data on a global and regional level.
Conduct research and analysis of data from external sources.
Identify fraud trends and data-driven insights that will drive a variety of materials, including our Digital Banking Fraud Trends reports, threat landscapes, and forensic case studies of real-life frauds and scams.
Create written content that showcases the results of data analysis and tells compelling stories.
Present findings in internal forums as well as externally at BioCatch events.
Become an internal conduit for all intelligence sharing across BioCatch teams.
Build and maintain a data repository and self-service dashboard, empowering internal teams with access to fraud data.
Identify opportunities and implement process efficiencies and automation in data analysis.

Requirements:

A bachelor’s/master’s degree in a STEM field and/or self-directed technology-focused education in programming for data analytics, with a passion for fighting fraud
Understanding of statistical modelling techniques
Experience with SQL to an intermediate/advanced level
Experience with Python and/or R (advantageous)
Experience working with financial institutions’ fraud departments preferred
Strong written and verbal presentation skills
Good communications and teamwork
Self and a quick learner
Second/third languages preferred

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 tota... Know more