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Data Quality Analyst (Fraud Investigation) - Remote

Posted 4 days ago
Data Analysis
Full Time
Ontario, Canada

Overview

Owl.co is a software company that enables insurers to fight illegitimate claims at scale while removing human bias from the process. Our clients are the top insurance companies across North America, and they are achieving incredible results through our AI-powered, evidence-based platform.

In Short

  • Conduct investigations utilizing open data sources and in partnership with Owl’s AI.
  • Ensure findings are inputted logically, leveraging our internal platform to guide the process.
  • Analyze external claimant data for quality, completeness, and accuracy.
  • Efficiently utilize time and resources to deliver high-quality results that maximize value for the company.
  • Maintain the security and confidentiality of sensitive information.
  • Operate within company security and disclosure guidelines.

Requirements

  • Strong analytical skills and attention to detail.
  • Experience with data analysis tools and techniques.
  • Understanding of fraud investigation processes.
  • Ability to work independently and as part of a team.
  • Strong communication skills.

Benefits

  • Opportunity to work with top insurance companies.
  • Engagement in meaningful work to prevent fraud.
  • Collaborative work environment.
owl.co logo

owl.co

Owl.co is a cutting-edge software company dedicated to empowering insurers in the fight against illegitimate claims through an AI-powered, evidence-based platform. Serving top insurance companies across North America, Owl.co aims to transform the traditionally manual claims process into a more equitable and efficient system by leveraging state-of-the-art machine learning and natural language processing methods. With well-funded operations and engineering offices located in New York City, Toronto, and Vancouver, Owl.co is committed to ensuring the integrity and accuracy of insurance claims processing while maintaining the security and confidentiality of sensitive information.

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