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Sr. Quantitative Analyst

$65 - $75 per hour

Employment Enterprises

Our client is a major financial enterprise dedicated to supporting housing markets and promoting sustainable homeownership nationwide. The Senior Quantitative Analyst position is a highly hands‑on role focused on data reconciliation, end‑to‑end debugging, and expanding forecasting capabilities for the mortgage portfolio. This is a full‑time, contract position based in McLean, VA, paying $65–$75 per hour. Responsibilities Perform day‑to‑day reconciliation of portfolio forecasting data and analytical outputs across different internal systems and tools. Run end‑to‑end validation of analytical processes, ensuring accuracy and completeness of inputs, environment setup, calculations, and results. Tie out model results from forecasting tools against established emulators or internal analytical systems. Investigate, troubleshoot, and debug discrepancies in calculations and outputs across the full processing chain. Use Python extensively to process datasets, analyze results, automate validation activities, and support quantitative investigations. Support expansion of forecasting capabilities by validating new functionality and integrated components. Review loan‑level and portfolio‑level data for quality, consistency, and alignment with modeling assumptions. Apply mortgage, credit risk, and market risk concepts to interpret output behavior and identify drivers of variance. Collaborate with business owners, developers, and analytics teams to support tool enhancements and issue resolution. Manage multiple workstreams effectively and deliver high‑quality results within tight deadlines. Qualifications 5–7 years of experience with strong skills in data processing, data analytics, and reconciliation across multiple systems. Proven experience using Python for data processing, analytics, and validation. Strong background in mortgage, mortgage security, or credit risk analysis. SAS experience is a plus. Excellent quantitative analytical skills and ability to troubleshoot discrepancies end‑to‑end. Working knowledge of Python and SQL. Ability to translate technical findings into clear summaries. Experience in mortgage credit risk and MBS market risk management. Capable of delivering under tight deadlines. What We Offer 401K retirement plan Medical and dental benefits for qualifying professionals or Fixed Indemnity Health Benefits Flex spending account Pet Insurance Credit Union Membership Sick Leave where mandated by law Worker Advantage discount program membership Voluntary Supplemental Insurance Our Equal Employment Opportunity Policy: Employment Enterprises, Inc. is an equal employment opportunity employer. We recruit, employ, assign, train, compensate, and promote without regard to race, color, sex, age, disability, religion, national origin, marital status, sexual orientation, ancestry, U.S. Veteran status, or any other protected category under applicable law. #J-18808-Ljbffr Employment Enterprises

Vacancy posted 3 days ago
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