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Fraud Intelligence Research Analyst

BioCatch

London

On-site

GBP 35,000 - 65,000

Full time

30+ days ago

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Job summary

Join a pioneering company in Behavioral Biometrics as a vital member of the Fraud Intelligence Unit. This role is perfect for those who are passionate about fighting fraud and eager to leverage data analysis to uncover trends and insights. You will research and create impactful marketing content that tells powerful stories about fraud prevention, working closely with financial institutions. Collaborate with a dedicated team to build a data repository and enhance internal processes. If you are a self-motivated individual with a strong background in data analytics and a knack for storytelling, this opportunity is designed for you.

Qualifications

  • Bachelor’s or Master’s in a STEM field, or equivalent tech-focused education.
  • Experience with SQL and data analysis, with a passion for fighting fraud.

Responsibilities

  • Analyze global and regional fraud data to identify key trends.
  • Create compelling written content based on data analysis results.
  • Present findings at internal forums and external events.

Skills

Statistical Modeling
Data Analysis
Fraud Prevention
Communication Skills
Teamwork
Quick Learner

Education

Bachelor’s degree in STEM
Master’s degree in STEM

Tools

SQL
Python
R

Job 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 modeling techniques.
  • Experience with SQL to an intermediate/advanced level.
  • Experience with Python and/or R (advantageous).
  • Experience working with financial institutions’ fraud departments is preferred.
  • Strong written and verbal presentation skills.
  • Good communication and teamwork.
  • Self and quick learner.
  • Second/third languages preferred.
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