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 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 recent 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 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 Education 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 - Job Family Group Finance - Job Family Fin Solutions Dsgn Implement - Time Type Full time - Most Relevant Skills Assessment Change Management Communication Credible Challenge Management Reporting Problem Solving Program Management Risk Management Stakeholder Management Strategic Planning - Other Relevant Skills For complementary skills please see above and or contact the recruiter - Citi is an equal opportunity employer and qualified candidates will receive consideration without regard to their race color religion sex sexual orientation gender identity national origin disability status as a protected veteran or any other characteristic protected by law If you are a person with a disability and need a reasonable accommodation to use our search tools and or apply for a career opportunity review Accessibility at Citi View Citi s EEO Policy Statement and the Know Your Rights poster

📌 Vice President (c13), Senior Model Onboarding Specialist – Forecast Platform (Maharashtra)
🏢 Citi
📍 Maharashtra