Lead Data Scientist

Standard and Poors Financial Services LLC seeks a Lead Data Scientist who will develop and maintain analytical and non-analytical tools that are used to ensure quality of Ratings and compliance with regulatory requirements. Contribute to research and development of tools for quantitative and qualitative analyses for Ratings and Ratings criteria performance. Develop tools, systems, and infrastructure used to support the analytical activities of the Ratings division. Maintain all analytical tools, including periodic criteria and model reviews, framework reviews, criteria validations, and model validations. Contribute to the refinement of business cases and user requirements as part of the development process. Identify Ratings criteria and model issues where there is a need for revised or new criteria. Coordinate with cross-functional teams to achieve development goals. Build relationships with key stakeholders, including members of the data and technology teams, methodologies group, and analytics managers. Develop high quality tools to assist in the evaluation of models, models criteria, and their application. Perform various statistical and quantitative analyses in the evaluation of Ratings and Ratings criteria performance, including back-testing and stress testing to verify the soundness of the assumptions and calibration with established benchmarks and ratings definitions. Mentoring, guiding, and training team members to enable the efficient execution of projects. Monitoring action plans resulting to ensure they are completed in a timely and satisfactory basis. *** Telecommuting permitted within normal commuting distance of New York, NY office. Job Requirements: Bachelors degree in Computer Science, Computer Engineering, Electronic Engineering or related technical field plus 5 years of experience in the job offered or related occupation. 5 years of experience must include: Researching and developing credit ratings or regulatory reporting tools for evaluating performance, outliers, regulatory metrics, and construct analysis, utilizing statistical programming languages, including Python and R. Developing statistical tools for use in econometric modeling and data products, incorporating machine learning and data visualizations principles and tools (PowerBI, Tableau, and Qlikview). Performing data mining, data warehousing, and data mapping using Databricks and Hadoop. Experience with financial markets, debt capital markets, quantitative finance, or credit analysis & research within the context of a credit rating agency, and internal ratings agency data sets. *Employer will accept a foreign Bachelors degree or any other combination of degrees, diplomas or professional credentials and/or experience determined to be equivalent to a Bachelors degree by a qualified evaluation service. The anticipated base salary range for this position is $112,778 to $258,600. 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 #330087 (Lead Data Scientist).