Python C/C++ Java Analysis Modeler (Jobs in New York, NY)   Requirement id 113819 Job title Modeler Job location in New York, NY Skills required Python, C/C++, Java, Analysis Open Date 08-Feb-2021 Close Date Job type Contract to Hire Duration 6 Months Compensation DOE Status requirement --- Job interview type Face to Face interview    Email Recruiter: coolsoft Job Description Modeler: Python, C/C++, Java, Analysis Candidate must be our W2 Employee. Candidate must be local: Yes Job Description: Client is recruiting a Senior Data Modeler to support our clients Risk and Compliance workstream. This Data Modeler will join our client in support of their large LIBOR Transition Project. The Data Modeler will perform Model Validation on a highly visible enterprise-wide model that creates estimates that are a key input to management decisions, and that are also reported to senior management and the Board of directors on a regular basis. The role will be to execute enterprise standards for model validation. Responsibilities: The incumbent will be responsible for identifying and evaluating model risk and propose controls to manage that risk. This will entail following the scope of a validation effort and executing tests and reviews. The incumbent will work in three disciplines: 1) OTC Derivative Pricing 2) VaR Modeling and 3) Counter-party Credit Risk Modeling. Execute enterprise standards for model validation by applying techniques and methodologies to test assumptions and review outcomes of a model. Tests and reviews align to the validation scope established by more senior colleagues. The incumbent will be responsible for identifying and evaluating model risk and proposing controls to manage that risk. Subsequent to the validation of a model, the incumbent is expected to lead projects that automate prior testing, allowing risk to be assessed on a dynamic basis. The incumbent is required to construct shadow models that run alongside those in production, allowing Model Risk Management to monitor performance in real time. No formal supervisory responsibility. Primarily responsible for the accuracy and quality of own work . Modified based upon local regulations/requirements. Qualifications: Masters Degree/PhD in a quantitative discipline, including engineering, mathematics, physics, statistics, econometrics. The candidate must have a superb quantitative and analytical background with a solid theoretical pricing/VaR Modeling/counter-party credit risk modeling foundation coupled with strong programming, documentation and communications skills. 3+ years of experience. Must have experience with complex quantitative derivatives pricing/VaR Modeling/counter-party credit risk modeling, numerical analysis, and computational methods using programming languages (such as Python, C/C++, C#, Java, MATLAB) as well as mathematical/statistical software packages. Must be extremely focused, detail oriented, results oriented and highly productive. Must have a proven track record of being able to efficiently and effectively conduct independent research, analyze problems, formulate and implement solutions, and produce quality results on time. The candidate must have excellent scientific and technical documentation and presentation skills, assertiveness & influencing skills, and the skills to explain abstract theoretical concepts to a non-expert audience in easy-to-understand language. Additional Notes: At least 3 years of experience needed financial experience is required Degree required: Masters Degree/PhD in a quantitative discipline, including engineering, mathematics, physics, statistics, econometrics. Top 3 skills: A solid theoretical pricing/VaR Modeling/counter-party credit risk modeling foundation. Strong programming, documentation and communications skills. Model validation/risk experience   Call 502-379-4456 Ext 100 for more details. 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