CNH Industrial

Credit Risk Analytics-Data Science Sr. Specialist

Location US-WI-Racine
Financial Services
Position Type


Through its people and brands, CNH Industrial delivers power, technology and innovation to farmers, builders and drivers all around the world. Each of its brands, including Case IH, New Holland Agriculture, Case and New Holland Construction, FPT Industrial, Capital, and Aftermarket Solutions, is a major international force in its specific sector.


The Credit Risk Analytics-Data Science Sr. Specialist will join our Risk team in Racine, WI. In this position, you are expected to support the team’s standard, ad hoc and periodical risk-centric projects with focus on preparing, managing, and analyzing multiple data sets, applying machine learning algorithms to create risk models, as well as following established policies and procedures for developing and distributing standard reports. Also, you are expected to collaborate with team members and other stakeholders from across the organization to initiate and implement creative business solutions which meet business needs. To be successful in this role, the Manager must have very strong quantitative, logical, analytical and problem-solving skills, being able to work with little supervision in a fast‐paced environment, and to handle multiple projects simultaneously.


  • Apply Machine Learning (ML) techniques on big data to develop, refine and implement retail/commercial lending models as well as associated alignments and cutoffs for all regions. Models included but not limited to: origination, behavior, collection, financial, bureaus, depreciation curve, delinquency, fraud, etc.
  • Work with IT to create/improve and keep structured data, perform data maintenance and management on daily basis
  • Work to strengthen/increase partnership with external data suppliers worldwide, expanding our options to improve our models prediction power
  • Assess tools/data purchased to support risk management plus tools used by outside vendors or partners
  • Perform ad hoc analyses of business situations, systems, issues and problems as well as research and test new technologies for risk mitigation
  • Provide and present the results of analyses in the form of graphs, charts, and tables, in high quality fashion and acceptable format, for management, peer and audit reviews
  • Document and maintain all procedures and models steps


The qualified candidate will have:

  • Bachelor degree in a quantitative discipline or related fields (e.g. Analytics, Data Science, Statistics, Mathematics, Economics, Finance, Engineering, etc.)
  • 3+ years of experience creating/applying advanced algorithms and/or statistical models such as (machine learning techniques, Logistic regression, hazard rate, time series, Simulation, etc.)


  • MBA
  • Strong programming knowledge (R, Python, SAS, and others)
  • Strong knowledge and experience in Big Data
  • Strong interpersonal, written and verbal communication skills
  • Previous Credit risk and/or financial services experience
  • SAS
  • MBA in a quantitative discipline or related fields
  • Problem solving skills and ability to propose and implement creative solutions
  • Ability to work both independently and as part of a team
  • Analytically-oriented with a strong logical and quantitative skills
  • Familiarity with credit bureaus and alternative credit data sources


CNH Industrial is an equal opportunity employer. This company considers candidates regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Applicants can learn more about their rights by viewing the federal "EEO is the Law" poster and its supplement here


CNH Industrial participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. You can view additional information here.


If you need reasonable accommodation with the application process, please call 1-800-889-4422 option 1 and then option 5, or contact us at


Read about our company’s commitment to pay transparency by clicking this link: pay transparency notice.



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