Senior Forecast & Model Onboarding Analyst

Citi; New York (NY); On-site; USD 90,000 - 130,000; Full time

Job summary

Citi seeks a Senior Model Onboarding Specialist to onboard new and revised models onto the RUBY platform, analyze P&L and balance sheet trends, and support forecasting processes used for regulatory scenarios and internal planning.

You will collaborate with business and technology partners to enhance the platform, ensure data quality, and provide regular status updates while mitigating risks.

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.
• Good knowledge of banking products, how financial institutions make money, and macroeconomic impacts.
• Experience with SAS, Java, Python, or other modeling languages is a plus.
• Proficiency in SQL and data analysis techniques.

Responsibilities

• Onboard new and revised models onto the RUBY platform, ensuring accuracy and adherence to standards.
• Analyze Citi's financial statements (P&L and Balance Sheet) for macro-economic or qualifier driver-based trends.
• Collaborate with business and technology teams to identify and implement platform enhancements, improvements, and new features.
• Analyze data inputs and outputs, ensuring data integrity and accuracy.
• Troubleshoot and resolve issues related to model onboarding and platform functionality.
• Communicate updates on project status to stakeholders and manage risks.

Skills

Forecasting

SQL

Python

SAS/Java

Communication

Education

Bachelor's degree in quantitative field

Master's degree preferred

Tools

SAS

Java

Python

SQL

Job description

Citi seeks a Senior Model Onboarding Specialist to onboard new and revised models onto the RUBY platform, analyze P&L and balance sheet trends, and support forecasting processes used for regulatory scenarios and internal planning.

You will collaborate with business and technology partners to enhance the platform, ensure data quality, and provide regular status updates while mitigating risks.