Fraud Intelligence Research Analyst

London, England, GB

BioCatch

Seamless and secure online experiences are built with BioCatch behavioral biometrics. We’re more than just fraud prevention. Our solution powers your digital growth.

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Description

BioCatch is the leader in Behavioral Biometrics, a technology that leverages machine learning to analyze an online user’s physical and cognitive digital behavior to protect individuals online. BioCatch’s mission is to unlock the power of behavior and deliver actionable insights to create a digital world where identity, trust, and ease coexist.Today, 32 of the world's largest 100 banks and 210 total financial institutions rely on BioCatch Connect™ to combat fraud, facilitate digital transformation, and grow customer relationships.. BioCatch’s Client Innovation Board, an industry-led initiative including American Express, Barclays, Citi Ventures, and National Australia Bank, helps BioCatch to identify creative and cutting-edge ways to leverage the unique attributes of behavior for fraud prevention. With over a decade of analyzing data, more than 80 registered patents, and unparalleled experience, BioCatch continues to innovate to solve tomorrow’s problems. For more information, please visit www.biocatch.com.


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, creation, and execution of BioCatch marketing and thought leadership content based on global fraud trend data 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. 
  • Identify fraud trends and data-driven insights that will drive a variety of materials, including our Digital Banking Fraud Trends reports, threat landscapes, and case studies. 
  • 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 with regards to 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 quick learner 
  • Second/third languages preferred 
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Banking Data analysis Data Analytics Machine Learning Python R Research SQL Statistics STEM

Perks/benefits: Team events

Region: Europe
Country: United Kingdom

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