Machine learning model development for fraud detection
Experience with account takeover (ato) prevention
Proficiency in python programming language
This role involves leveraging data science expertise to innovate and deploy models that detect and prevent fraudulent activities like account takeovers and send scams
Job Summary
This role involves leveraging data science expertise to innovate and deploy models that detect and prevent fraudulent activities like account takeovers and send scams.
You will collaborate closely with engineering, product, and security operations teams to translate business requirements into actionable data insights.
Wise is committed to building diverse, equitable, and inclusive teams where qualifications are less important than great experience and the ability to articulate thinking.
Matching Summary
This role involves leveraging data science expertise to innovate and deploy models that detect and prevent fraudulent activities like account takeovers and send scams.
Skills & Requirements
Must-have
Machine learning model development for fraud detection
Experience with Account Takeover (ATO) prevention
Proficiency in Python programming language
Knowledge of anomaly detection and deep learning
Experience with large datasets using Spark or Hadoop
Nice-to-have
Mentoring junior data scientists
Ability to read Java code
Strong product mindset
Experience with graph-based solutions
Collaboration with cross-functional security teams
Key Requirements
Proven experience in fraud detection or cybersecurity domains
Solid knowledge of Python and Git collaboration workflows
Demonstrable experience collaborating with engineering on services