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Senior Model Onboarding Specialist VP

Canada, Mississauga · Job Posted May 05, 2026
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Job Description

The RUBY Model Onboarding team partners with Global Process Owners (GPOs) to standardize and design processes, ensuring alignment with standard data and technology platforms. This team serves as a central point of contact for strategic initiatives within Finance and Risk, providing a unified view of technology design, architecture, and prioritization. As a Senior Model Onboarding Specialist, Candidate will play a key role in supporting Citi's forecast processes by operating and managing RUBY (Forecast platform), a critical tool used for Interest Rate Risk, CCAR, and internal financial forecasting. Candidate will be involved in supporting both regulatory-mandated external forecast scenarios and internally focused planning and analytical exercises. This role involves a combination of executing existing forecast processes and collaborating with business and technology partners to identify and develop enhancements, improvements, and new functionality.

Job Responsibility

  • Onboard new and revised models onto the RUBY platform, ensuring accuracy, efficiency, and adherence to established standards
  • Analyze Citi’s Financial statements like P&L and Balance Sheet for macro-economic or qualitative driver-based trends
  • Add qualitative inputs to Finance stakeholders number reviews using tools like Python, SQL
  • Partner with business and technology teams to identify and implement platform enhancements, improvements, and new features
  • Analyze data inputs and outputs, ensuring data integrity, validity, and accuracy
  • Troubleshoot and resolve issues related to model onboarding, data quality, and platform functionality
  • Communicate effectively with stakeholders, providing regular updates on project status and addressing any concerns
  • Identify and mitigate risks related to model onboarding and platform stability

Requirements

  • 5+ years of experience in financial services, with a focus on model development, validation, or implementation
  • Strong understanding of financial models, forecasting methodologies, and data structures
  • Good knowledge of Banking products, how financial institutions make money and impact of macro-economic conditions on the industry
  • Experience with SAS, Java, Python, or other modeling languages is a plus
  • Proficiency in SQL and data analysis techniques
  • Excellent communication, interpersonal, and problem-solving skills
  • Bachelor's degree in a quantitative field (e.g., Computer Science, Engineering, Finance)

Nice to have

Master's degree preferred

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