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Data Analyst II
Ref No.: 17-00457
Location: McLean, Virginia
Position Type:Contract
ONLY ACCEPTING DIRECT W2 APPLICANTS NON CORP-TO-CORP AT THIS TIME.

Position Overview
The Data Analyst II position in our Investments and Capital Markets division is responsible for developing, implementing, and managing processes for Client's retained mortgage portfolio. This position is also responsible for the day-to-day management of Client's distressed assets within the retained portfolio, comprising the legacy whole loan and securities portfolios. This position is responsible for developing analytic tools and investment and risk management strategies for Client's retained mortgage portfolio. This includes developing value-added processes to make investment decisions, analyzing pricing methodologies, developing disposition strategies, implementing process controls and operational policies and procedures, and working directly with both internal and external parties on the buying, selling, securitization and structuring of whole loans and legacy Agency MBS assets.

Responsibilities Include:
• Working closely with single-family, investment portfolio and modeling areas on all matters related to securitization and valuation of distressed whole loans; performing and non-performing.
• Producing analytics to help improve understanding and design of liquidation strategies for distresses asset portfolio.
Basic Requirements
• Minimum of 2-3 years of professional experience.
• Bachelor's degree in quantitative fields
• Good problem solving skill.
• Experience in SAS and SQL, and ability to learn to use other analytical software package.
• Experience in the following areas:
- Handling large amount of mortgage and credit risk data
- Possessing a high level of personal ownership or results, self-motivation, and attention to detail
- Working in a dynamic and fast paced market environment with minimal guidance.
Preferred Skills
• Familiarity with mortgage loan data
• Knowledge of mortgage credit risk analytics, mortgage securitization and structuring
• Experience in mortgage valuation models
• Quickly framing analytical questions, and working independently to produce final high quality deliverables and effectively communicating the results
• Ability to think outside of the box
• Ability and willingness to learn and use new programming language, applications and data source to deliver analytical result with minimal coaching
• Strong team player