Analyst, Analytic Quality & Validation

Standard & Poors Financia Services LLC seeks an Analyst, Analytic Quality & Validation who will Conduct qualitative research to identify key credit trends and risks for each sector to identify performance anomalies and ascertain causalities. Design and implement methods to verify the theoretical soundness of rating models that are used for credit rating process across all S&P business sectors. Test the soundness of the Criteria assumptions and assess the aging of data informing Criteria assumptions and other considerations that may affect the quality of Criteria. Contribute to the development and implementation of new tools and procedures to support the continuous improvement and effectiveness of the Ratings Organization. Conduct various statistical/quantitative analyses in the evaluation of ratings applications and ratings criteria performance to verify the soundness of the assumptions and calibration with established benchmarks and ratings definitions. Review theoretical construction and implementation of the quantitative financial models that are used in credit rating process across all S&P business sectors, verify the models' conceptual soundness and consistency with ratings Criteria and compliance with regulatory requirements and validate the models' implementation and code. Review the application of S&P analytical methodologies to verify the S&P Criteria and models are applied consistently and appropriately. Coordinate with methodology and business unit staff to gather model-related information, clarify model-related questions, interpret model outputs, provide insightful recommendations, and draft report to reflect validation results. ***Telecommuting permitted within normal commuting distance of New York, NY office. Job Requirements: Masters degree in Financial Engineering, Quantitative Finance, Mathematics, Statistics, or related quantitative field plus two (2) years of experience in quantitative model validation or related occupation. Two (2) years of experience must include: Utilizing quantitative and statistical techniques and performing financial time-series analysis, including linear algebra, regression models and time-series models (such as AR, MA, ARIMA, and GARCH), to assess data aging, conduct back-testing analysis, identify trends, patterns and dependencies between financial quantities and risk metrics. Assessing data and methodology used in quantitative models such as cash flow models, recovery models, and capital adequacy models for timeliness, relevancy, bias and other potential issues. Programming, including data structures and algorithms using VBA, R, C++ and Python, to analyze, test and validate credit risk models and assess their consistency. Conducting and interpreting credit risk research to identify key credit trends and develop risks metrics. Experience with applying fixed income, structured finance, and financial derivatives knowledge to review and validate quantitative credit risk methodology and models. Model validation tools, including cloc, Synkronizer and Examdiff Pro, and financial information and analytics platforms, such as Capital IQ. Project management and business presentations. The anticipated base salary range for this position is $112,778 to $143,800. Final base salary for this role will be based on the individuals geographic location, as well as experience level, skill set, training, licenses & certifications. In addition to base compensation, this role is eligible for an annual incentive plan. Standard & Poors Financial Services LLC is part of S&P Global and this role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please see: https://spgbenefits.com/benefit-summaries/us. Location: 55 Water Street, New York, NY 10041 (Telecommuting permitted within normal commuting distance of New York, NY office ) Applicants: Send resume to [email protected], ref # 330085 (Analyst,