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.
Key Responsibilities:
- Model Onboarding: Onboard new and revised models onto the RUBY platform, ensuring accuracy, efficiency, and adherence to established standards.
- Financial Analysis: 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
- Collaboration: Partner with business and technology teams to identify and implement platform enhancements, improvements, and new features.
- Data Analysis: Analyze data inputs and outputs, ensuring data integrity, validity, and accuracy.
- Problem Solving: Troubleshoot and resolve issues related to model onboarding, data quality, and platform functionality.
- Communication: Communicate effectively with stakeholders, providing regular updates on project status and addressing any concerns.
- Risk Management: Identify and mitigate risks related to model onboarding and platform stability.
Qualifications:
- 3-4+ 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.
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Please see the requirements listed above. ------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------
Automated Processing and AI
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