Risk Analytics Associate II job in Washington, DC| Recruit Arrow
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Title
Risk Analytics Associate II
Location : District of Columbia, Washington
Refer job # SGRO338766
 
Job Responsibilities and Requirements: JOB INFORMATION Use variety of analytical tools to develop value-at-risk models for the classes of assets or financial instruments the company owns or underwrites. Use risk assessment models such as scenario models or sensitivity analyses to measure and quantify risk as it pertains to different classes of assets. May apply advanced mathematical, statistical, or other financial analytical tools to develop more precise analyses or projections of the financial performance of different assets classes in different economic environments. May use advanced programming skills to test or validate models or to price or evaluate various derivative products. KEY JOB FUNCTIONS Consider assigned products, assets, or transactions that are subject to risk. Determine which analytical tools can be used to assess and quantify risk for specific product or transaction. Determine applicability of varied statistical and mathematical tools to analyzing the risk of varied financial products, assets and transactions. Conduct analysis or application of model on variety of products or assets, including mortgage backed securities or derivatives. Report results in standardized fashion and may conduct more specialized or custom analyses or reports. Participate in periodic value-at-risk exercise in which unit's staff determines aggregate risk over large range of assets for reporting to senior management. Track academic research in quantitative modeling used to measure risk for financial assets and their derivatives. EDUCATION Bachelor's Degree or equivalent required MINIMUM EXPERIENCE 4 years of related experience SPECIALIZED KNOWLEDGE & SKILLS Experience building, testing, and/or validating financial/economic/statistical models is preferred Strong quantitative and analytical experience is required Must have excellent oral and written communication and presentation skills Advanced degree in Finance or Economics is strongly preferred.
 
 
 
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