Bilingual Analyst

3 weeks ago


Mississauga, Canada Echelon 56 Full time

Bilingual Analyst - Special Investigations Unit (ON) Echelon Insurance provides Personal and Commercial Specialty Insurance solutions to protect Canadian families and businesses across Canada, through our trusted network of Broker partners. Echelon is a member of the CAA Club Group of Companies and is an equal opportunity employer who offers a professional environment that champions collaboration, trust, and growth to drive success. We cultivate a great working dynamic to help us deliver what is best for our associates, Brokers, and Customers. Who we are Are you ready to join an award-winning, purpose-driven culture? Welcome to the CAA Club Group of Companies (CCG), where purpose leads to passion At CCG, we are committed to delivering an exceptional Associate experience. We offer: Work-life harmony with access to an award-winning holistic wellness program, Continuous learning through our robust corporate curriculum and education reimbursement program, Incredible rewards, travel incentives, and product and service discounts, Pay-for-performance and best-in-class recognition programs, and Competitive benefits that include a defined contribution plan, personal spending account, and so much more. Join our growing team where everyone belongs What You Will Do Reporting to the SIU Manager, the SIU analyst is responsible for the identification and analysis of suspicious claims, development of fraud detection and prevention tools through data analytics and supporting overall Fraud Strategy initiatives. This position is the subject matters expert for fraud detection technology and responsible for developing materials and conducting technical training when appropriate. The ideal candidate is a multi-line claims expert that is passionate about claims investigations, has a high degree of analytical ability and problem-solving skills, with an ability to probe data and generate reports to identify potential fraud and must be able to maintain confidentiality. Review SIU referrals and determine which claims meet the established criteria and will be accepted for investigation by SIU Analyze internal and external data systems to identify suspicious claims activity Complete open-source intelligence (OSINT) searches Design and create data reports/tools to proactively identify questionable claims or policy activity Providing recommendations for action post-investigation Support development of case investigations, fraud detection and tool enhancements for all lines of business and regions Identifies issues, resource challenges and competing priorities regarding fraud identification and escalate to Claims Management Who You Are Minimum 8 year of claims handling or direct related experience in Personal and Commercial multi-line claims: Auto, Property, Accident Benefits and Casualty Experience with conducting OSINT research Experience working on a national level that involves different Provincial Legislation and policies Minimum 2 years working with data analytics Experience using fraud detection tools and proficiency in MS Office Suite products and previous use of HCAI Ability to maintain confidentiality and effectively prioritize and execute tasks in a high-pressure environment Completion of or willingness to obtain Certified Fraud Examiner (CFE) certification preferred Completion of or willingness to obtain OSINT certificate preferred University degree or college diploma is preferred CIP designation or working towards is an asset Provincial licensing if/where required Fluency in both English and French required, including strong written and verbal communication skills. Our Commitment We are an equal opportunity employer and are committed to providing employment accommodation in accordance with all applicable Provincial Human Rights and Accessibility Legislation. CCG will provide accommodations to job applicants with disabilities throughout the recruitment process. If you require an accommodation, please notify us and we will work with you to meet your needs. #J-18808-Ljbffr



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