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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in model risk management, including validation, performance evaluation, and regulatory compliance. Proficient in Python and experienced in developing risk analytics and reporting for financial institutions.
Highest-signal resume keywords
Model Risk ManagementPython ProficiencyRisk Analytics DevelopmentModel Validation TechniquesQuantitative Risk Management Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Model DevelopmentModel ValidationRisk Measurement SystemsData AnalysisStatistical AnalysisDashboard CreationAutomationAI-Enabled ReportingPerformance EvaluationRegulatory Compliance
Soft Skills
Clear CommunicationDetail OrientedSelf-MotivatedProject ManagementOrganizational Skills
Tools & Technologies
App Creation SoftwareGenerative AICloud ComputingAnalytics ToolsDashboarding Tools
Industry Keywords
Market RiskCredit RiskOperational RiskFRTB StandardsVaRES-Based Risk MeasurementModel Health FrameworksRisk IndicatorsRegulatory StakeholdersModel Lifecycle
Tech Stack
Tools & technologiesCloudPython
About the role
Key responsibilities & impact- Develop, enhance, and validate methods for measuring and analyzing market, credit, and operational risk
- Manage model risk across the model lifecycle, including validation, ongoing performance evaluation, and annual reviews
- Produce risk analytics and reporting for Citi’s operations
- Translate business requests into programming and data criteria; conduct systems and operational research
- Assist in developing analytic engines for business product lines
- Communicate results to diverse audiences
- Prepare detailed technical documentation for model validation and regulatory compliance
- Participate in teams solving business problems and identify modeling opportunities with measurable results
- Provide guidance to junior validators
- Manage interactions with model developers and business owners throughout the model lifecycle
- Represent Citi in regulatory-agency interactions as required
- Present validation findings to senior management and supervisory authorities
- Challenge model assumptions, mathematical formulations, and implementations
- Assess and quantify model risk from model limitations and recommend compensating controls
- Contribute to strategic cross-functional model risk initiatives
- Lead governance, monitoring, and performance oversight of Citi’s global market risk model portfolio
- Develop model health frameworks, risk indicators, and management reporting
- Enhance model monitoring through automation, analytics, dashboarding, and AI-enabled reporting
- Liaise with Model Risk Management, Market Risk, Risk Technology, Audit, regulatory stakeholders, and senior management
- Translate quantitative findings into insights, remediation plans, and executive recommendations
Requirements
What you’ll need- 6–10 years of experience
- Proficient in Python
- Clear and concise written and verbal communication skills
- Self-motivated and detail oriented
- Project management and organizational skills; ability to handle multiple projects simultaneously
- Practical experience in metric, deep-dive, report, and dashboard creation using app creation software, generative AI, and cloud computing/analytics is a plus
- Experience in a quantitative risk management role at a financial institution, with model development or validation experience, is a plus
- Knowledge of model development and validation testing techniques for risk models
- Bachelor’s/university degree or equivalent experience; potentially a master’s degree
- Knowledge of VaR and ES-based risk measurement systems suitable for FRTB standards and US implementation
Benefits
Comp & perks- Equal opportunity employment
- Reasonable accommodation for persons with disabilities
