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Title

Risk Modeling Analyst II 

EOE StatementWe are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.
 
About the Organization Paychex, Inc. (NASDAQ: PAYX) is a leading provider of integrated human capital management solutions for payroll, benefits, human resources, and insurance services. By combining its innovative software-as-a-service technology and mobility platform with dedicated, personal service, Paychex empowers small- and medium-sized business owners to focus on the growth and management of their business. Backed by more than 45 years of industry expertise, Paychex serves over 650,000 payroll clients as of May 31, 2018, across more than 100 locations in the U.S. and Europe, and pays one out of every 12 American private sector employees. Learn more about Paychex by visiting www.paychex.com , and stay connected on Twitter and LinkedIn.
 
Description

 

Performs high level data mining and analytical projects for the development of predictive models. Understands specific business details related to the necessary data and/or conducts interviews with data owners/key stakeholders as necessary to clarify business data needs. Researches new theories and technologies in the predictive analytics world and finds applications within Paychex. Assists with development of results reporting.

  • 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.
 
Position Requirements
  • Bachelor's degree in IT, Statistics, Mathematics, Physics or Engineering, particularly Masters or PhD is preferred.
  • A minimum of 5 years of experience is required in any of the following subjects: data mining, data warehousing, regression analysis, predictive modeling.
  • Expert level proficiency in MS Excel and MS Access is required. Experience with SAS or MatLab required. Experience with SQL, VBA or Business Objects is a strong plus. Solid understanding of regression and decision tree based methods for fitting predictive models is a strong plus. Ability to communicate in a concise and clear manner is required.
 
Category Customer Service/Operations  
Location NY, Rochester, Rochester 225 Kenneth Drive Office  
Video Link None Specified 

Location Details None Specified 

Full-Time/Part-Time Full-Time  
Req Number CUS-14-00902  

This position is currently not accepting applications.

To search for an open position, please go to http://PaychexGlobal.appone.com



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