Proj Mgr, Loss Forecasting
Location:
Riverwoods , Illinois
Posted:
October 22, 2017
Reference:
P110047_S1
Job DescriptionThis individual contributor role in the Loss Forecasting team will be responsible for managing the complete life cycle of time series models for forecasting credit losses and recoveries, including development, implementation, validation, tracking, monitoring and redevelopment.
Key Responsibilities:
  • Develop time series models for forecasting credit losses and recoveries by using state of art techniques
  • Document the model in accordance with model documentation guidelines
  • Implement the models for production use while ensuring compliance with DFS policies and procedures
  • Communicate effectively the new model features and benefits to management
  • Work with the offshore team for developing model performance monitoring and tracking reports
  • Assist in internal and external audits and/or regulatory exams
  • Support ad-hoc analytical requests
  • Promote a risk-aware culture; ensure efficient and effective risk and compliance management practices by adhering to required standards and practices.
Required Skills:
  • Masters degree in economics, statistics, engineering or related quantitative field, or Bachelor degree with equivalent experience.
  • At least 2 years experience in conducting statistical analysis or building statistical models
  • High proficiency in SAS, SQL and MS Excel
  • Ability to manage multiple priorities and deliver under pressure without compromising quality
Desired Skills
  • Phd degree in economics, statistics, engineering or related quantitative field.
  • 2-5 years of experience in credit industry preferably in credit risk domain
  • Experience in building time series models using macro-economic data
  • Familiarity with loss forecasting (or capital planning or stress testing)
  • Effective communication (oral and written), presentation, interpersonal / business partnering, and organizational skills.

Skills
Job DescriptionThis individual contributor role in the Loss Forecasting team will be responsible for managing the complete life cycle of time series models for forecasting credit losses and recoveries, including development, implementation, validation, tracking, monitoring and redevelopment.Key Responsibilities:Develop time series models for forecasting credit losses and recoveries by using state of art techniquesDocument the model in accordance with model documentation guidelinesImplement the models for production use while ensuring compliance with DFS policies and proceduresCommunicate effectively the new model features and benefits to managementWork with the offshore team for developing model performance monitoring and tracking reportsAssist in internal and external audits and/or regulatory examsSupport ad-hoc analytical requestsRequired Skills:Masters degree in economics, statistics, engineering or related quantitative field, or Bachelor degree with equivalent experience.At least 2 years experience in conducting statistical analysis or building statistical modelsHigh proficiency in SAS, SQL and MS ExcelAbility to manage multiple priorities and deliver under pressure without compromising qualityDesired SkillsPhd degree in economics, statistics, engineering or related quantitative field.2-5 years of experience in credit industry preferably in credit risk domainExperience in building time series models using macro-economic dataFamiliarity with loss forecasting (or capital planning or stress testing)Effective communication (oral and written), presentation, interpersonal / business partnering, and organizational skills.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

A little about us:
Discover is one of the most recognized brands in U.S. financial services. We’re a direct banking and payment services company built on a legacy of innovation and customer service.

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