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Risk Modeling Analyst


Develop and implement scorecards/data driven predictive models covering different areas of the company, including enterprise risk management, marketing, sales and field operations.



PaychexCompany: Paychex
Location: Rochester, NY
Web: www.paychex.com

With headquarters in Rochester, NY, Paychex, Inc. has more than 100 offices and serves approximately 554,000 payroll clients nationwide. We provide comprehensive payroll services, including payroll processing, payroll tax administration, time and attendance solutions, and employee pay services. Human Resource Services include 401(k) plan recordkeeping, workers' compensation administration, section 125 plans, a professional employer organization, and other administrative services for business.

Paychex is always looking for individuals who want to work for a company that allows for growth and development. With your desire to succeed and our training and resources, opportunities at Paychex are more than just jobs. They are your chance to build a solid career with a company named to FORTUNE magazine's "100 Best Companies to Work For" list seven times since 2002.We provide an atmosphere that fosters a healthy work life balance, and our comprehensive benefits package provides health care, retirement planning, education assistance, and much more.

  • Develops and implements scorecards/data driven predictive models covering different areas of the company, including enterprise risk management, marketing, sales and field operations.
  • Utilizes advanced functionality of Microsoft Office SQL, VBA, SAS and/or business objects for data mining and automation. Extracts and houses data from internal Paychex systems for use in modeling applications.
  • Explores, validates and maintains high quality data with optimal data storage design. The data is used for model development and reporting.
  • Explores and gathers external data including both public and private sectors to complement internal company data.
  • Researches new theories and technologies in predictive analytics, generates ideas for transforming data into practical models, and explores applied research ideas and formulation of R&D projects to be applied to any aspect of the company.
  • Conducts analysis to validate the performance of existing models and recommends changes for improvements.
  • Develops custom systems designed to determine and/or track the effectiveness of new and existing models.
  • Executes all phases of quantitative research projects by identifying the business problem, conducting data exploration, modeling and communication of final results to enterprise risk management leadership and other interested parties.
  • Shares knowledge within the modeling and analytics group for cross training and development.
  • During model development works with business partners to understand all aspects of the business, from understanding business issues/priorities to analytically solving these business issues/priorities.
  • Provides consultation to all company users in the areas of risk model development, account monitoring techniques, credit process strategies for manual and automated underwriting, quantitative financial analysis and/or potential risk management programs for new ventures.

Qualifications
A minimum of 5 years of experience and a bachelor's degree is required. Consideration may be given to a candidate with a degree in lieu of experience. Experience with SAS or MatLab is required. Experience with SQL, VBA or Business Objects is preferred.. Solid understanding of regression and decision tree based methods for fitting predictive models is also preferred.

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