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

Model Onboarding Analyst

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Overview

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, the candidate will support Citi's forecast processes by operating and managing RUBY (Forecast platform), a critical tool used for Interest Rate Risk, CCAR, and internal financial forecasting. The candidate will be involved in supporting both regulatory-mandated external forecast scenarios and internally focused planning and analytical exercises. This role combines executing existing forecast processes with 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 (P&L and Balance Sheet) for macro-economic or qualitative driver-based trends. Add qualitative inputs to Finance stakeholders’ reviews using tools like Python and 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 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.
• Good knowledge of banking products, how financial institutions make money, and the impact of macroeconomic 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). Master’s degree preferred.

Competencies

• Technical Proficiency: Strong understanding of modeling tools, technologies, and data management principles.
• Analytical Skills: Ability to analyze complex data sets and identify trends and patterns.
• Problem Solving: Ability to identify and resolve technical and business problems.
• Communication: Ability to communicate effectively with technical and non-technical audiences.
• Collaboration: Ability to work effectively in a team environment.

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.