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Manulife Financial Logo

Associate Data Scientist - Fraud Analytics

Manulife Financial

$70,560 - $131,040
Aug 19, 2025
Boston, MA, USA
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John Hancock is seeking an Associate Data Scientist to join their Advanced Analytics and AI team to develop cutting-edge models and innovative solutions for fraud detection and risk mitigation within their long-term care insurance business, directly protecting the organization and policyholders from fraudulent activities.

Requirements

  • Advanced proficiency in Python or R for statistical analysis and machine learning
  • Expert-level SQL skills and experience with database management systems
  • Hands-on experience with machine learning frameworks
  • Proficiency with graph analytical methods and libraries
  • Experience with time series methods and libraries
  • Demonstrated expertise in time series forecasting, trend analysis, seasonality detection, and change point detection
  • Strong background in outlier detection methodologies including statistical approaches, machine learning methods and deep learning techniques

Responsibilities

  • Design and build sophisticated fraud detection models with emphasis on time series analysis to identify temporal patterns and trends in fraudulent behavior
  • Develop anomaly detection systems to flag unusual claims patterns, provider behaviors, and policyholder activities
  • Create graph-based models to uncover fraud rings, provider networks, and suspicious relationship patterns
  • Build ensemble models that combine temporal, network, and statistical approaches for comprehensive fraud detection
  • Perform advanced statistical analysis on large, complex datasets to uncover fraud indicators
  • Design and implement digital controls and automated workflows to mitigate fraud impact
  • Develop innovative analytical solutions to address emerging fraud schemes and attack vectors

Other

  • 2-4 years of experience in data science, analytics, or machine learning roles
  • Master's degree in Statistics, Mathematics, Physics, Engineering, Computer Science, or other quantitative science discipline
  • Experience with fraud detection, risk analytics, or financial crime prevention preferred
  • Hybrid working arrangement
  • Salary range is expected to be between $70,560.00 USD - $131,040.00 USD