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This role involves leading Citi's global forecasting platform used for strategic planning, operational planning, and scenario planning. The position focuses on model onboarding, financial analysis, process improvement, data governance, stakeholder management, and risk management.
Job Responsibility:
lead and mentor a team of model onboarding specialists
collaborate effectively with global stakeholders, including business leads, FP&A modelers, technology developers, and operations teams
oversee the technical onboarding of new and revised forecast models and equations
ensure models are implemented accurately and efficiently within the platform framework
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
continuously evaluate and improve model onboarding processes
identify opportunities to automate data flows, enhance validation procedures, and streamline integration efforts
contribute to the global implementation of common data and data standards
manage multiple model onboarding projects simultaneously
partner with business stakeholders to understand their forecasting needs
assess and mitigate risks related to model onboarding, data quality, and platform stability.
Requirements:
10+ years of experience in financial services, with a strong background in modeling processes, data analysis, and technology integration
proven experience leading and managing teams
deep 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
strong technical skills, including experience with SAS, Java, Python, SQL, and Oracle DB
excellent communication, interpersonal, and stakeholder management skills
bachelor's degree in a quantitative field (e.g., Computer Science, Engineering, Finance)
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