Quantitative Analyst MBS – Prepayment & Interest Rate Modeling, recruitment

Normal 0 false false false MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para- mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman"; mso-ansi-language: mso-fareast-language: mso-bidi-language:}

Quantitative Analyst MBS - Prepayment Interest Rate Modeling, Validation Calibration. Regional Bank New York Metro Area, prime mortgage lender, residential, jumbos.

Responsibilities:

• Under supervision, calibrate existing quantitative interest rate and prepayment models.

• Review and revise model inputs and assumptions for accuracy and relevance.

• Assist with documenting the ‘what and why’ of the models processes.

• Perform monthly model validation and backtesting process.

• Tune and calibrate existing CPR models to suit current Bank position in comparison to the national model

• Roll up data to create balance sheet and income statement

Skills/Experience

•                     Graduate Degree in a quantitative discipline such as statistics, mathematics, actuarial sciences, financial engineering or economics with proven modeling and analytical skills and detail orientation

•                     Minimum 3-5 year experience using QRM, Sungard or other stochastic interest rate risk modeling system

•                     Knowledge of residential mortgages, RMBS, and prepayment, credit models.

•                     Knowledge of broader capital markets products ideally with exposure to European and Bermudan options, interest rate derivatives and structured products

•                     Rigorous understanding of one and two factor interest rates models, Hull-White, HJM,  yield curve analyses, library construction and analytics, and modeling of numerical solutions

•                     Experience with statistical methodologies

•                     Proficiency in programming in VBA, SQL and some statistical package such as Matlab, SAS, S+ or R