Model Validation 2nd Line of Defense Lead Analyst @ Citi

Citibank, N.A. seeks a Model Validation 2nd LOD Lead Analyst for its Long Island City, New York location.Duties: Evaluate quantitative modeling techniques to valuate financial instruments. Validate mathematical or statistical models for risk management and value and data analysis. Manage end-to-end model review and validation workflow for new and existing Consumer Valuation models for assigned geographical areas and model types. Assess and challenge proposed model design, theory, and framework throughout model development lifecycle to ensure quality of model. Evaluate model performance and validate model using statistical and mathematical techniques. Interact with stakeholders, including model developers and business owners to support risk management projects during model lifecycle. Design continued model monitoring plan and annual model review plan. Use Excel, SAS programming, Python and SQL to replicate and validate model performance. Conduct quarterly and annual model performance reviews and justify soundness of quantitative risk models. Manage model inventory reconciliation. Conduct model analyses and document validation process into detailed reports assuring compliance with regulatory guidelines and conformance to industry standards. A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite, in accordance with Citi policies and protocols.Requirements: Requires a Master’s degree, or foreign equivalent, in Quantitative Finance, Mathematics, Finance, or related field and 2 years of experience as an IT Business Analyst, Quantitative Business Analyst, Data Analyst, or related position involving business and risk model analysis, development, and validation in the global financial services industry. 2 years of experience must include: Programming languages: Excel (Macro VBA), Python, and SQL; Quantitative modeling techniques: data analysis, modelling methodology, performance validation, model usage, implementation and maintenance; Risk project management; Applying data analysis: regression, machine learning, and scenario simulation; Regulatory compliance and documentation drafting; Mathematical and statistical modeling; Model performance monitoring and review; and Model review and validation workflow management. Applicants submit resumes…

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