Data Quality Analyst (Fraud Prevention)

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.

We are on a mission to bring state-of-the-art ML and NLP methods to transform this traditionally manual activity into an equitable process.

We are well-funded and have engineering offices in New York City, Toronto, and Vancouver.

We are looking for a Part-time Data Quality Analyst to join our team!

The Data Quality Analyst is responsible for collecting and analyzing data through thorough investigation practices to deliver a proactive insurance fraud monitoring, detection, and prevention solution for our clients.

Responsibilities & Scope:

• Perform thorough and timely insurance claims investigations, pulling from open data sources for your research. Logically organize evidence found and categorize documents accordingly.
• Ensure proper quality assurance by analyzing external claimant data for quality, completeness, and accuracy.
• Analyze claims and report findings clearly and succinctly as they apply
• Drive efficiency and contribute meaningful input for automation throughout our operations process.
• Complete or exceed weekly file targets.
• Follow process & procedures for reviews.
• Ensure the security & confidentiality of file PII.
• Operate within company security and disclosure guidelines.

• Must be available at least 20 hours/week.
• Previous experience in content research (in an educational and/or professional context).
• Ability to work independently in a remote environment.
• Strong written and verbal communication skills. Ability to clearly and concisely document research findings.
• Organized, a structured thinker with the ability to exercise creative, outside-the-box thinking while conducting an investigation.
• Strong ability to work independently and as part of a team.
• Disciplined in time management with the stressor to be flexible based on caseload and case management.
• Ability to adapt to changing technologies through dynamic training and open feedback.

The compensation for this role is $20.00 per hour.

• Bring your friends on board! Help grow our team of top performers and receive a cash bonus through our uncapped, generous Employee Referral Program
• Build relationships and work towards meeting shared goals in our collaborative team environment