Loss Forensic Analyst (Hybrid)
TEKsystems | |
$28.00 - $30.00 / hr | |
United States, Arizona, Phoenix | |
Nov 05, 2024 | |
*Description:*
The Loss Analysis Specialist, performs detailed reviews on the servicing file, after claims recoveries have completed, in order to determine losses and root causes, submit chargebacks to departments and vendors for avoidable losses, clear out appropriate balances on the loan and close the REO Workstation down. Must Have: * Minimum 4+ years of experience experience in mortgage servicing (Preferably Claims) * Minimum 4+ years of experience utilizing MS Excel (vlookup, Pivot Tables) * Demonstrated understanding of the Claims Process: Allowable items, filing process, documentation and time frame requirements, EOBs/AOPs, structure of the guarantee and investor risk * Demonstrated understanding of the Default Servicing cycle & expertise in at least 1 other default department * Working knowledge of the Black Knight MSP servicing system * Working knowledge of MS Outlook, Word, Excel, Power Point, and ability to learn industry related systems Other Relevant Experience to consider: * Quality assurance within mortgage, default claims filing * Previous experience with basic cost accounting * Bachelor's degree preferred * Experience reviewing processes, data, documents with strong attention to detail About TEKsystems: We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. |