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This position within US Personal Banking and Wealth Management will develop CCAR/CECL models for unsecured portfolios (e.g., credit cards, installment loans, ready credit etc.). This position will also focus on regulatory model monitoring analytics for regular model performance tracking, annual model review etc.
Job Responsibility:
Develops, enhances, and validates the methods of measuring and analyzing risk, for all risk types including market, credit and operational
Manages model risk across the model life-cycle including model validation, ongoing performance evaluation and annual model reviews
Produces analytics and reporting used to manage risk for Citi's operations
Translates operational requests from the business into programming and data criteria and conduct systems and operational research in order to model expected results
Assists in the development of analytic engines for business product lines
Communicates results to diverse audiences
Conducts analysis and packages it into detailed technical documentation report for validation purposes sufficient to meet regulatory guidelines and exceed industry standards
Participates on teams to solve business problems
Identifies modeling opportunities that yield measurable business results
Provides guidance to junior validators as and when necessary
Manages stakeholder interaction with model developers and business owners during the model life-cycle
Represents the bank in interactions with regulatory agencies, as required
Presents model validation findings to senior management and supervisory authorities
Provides effective challenge to model assumptions, mathematical formulation, and implementation
Assesses and quantifies model risk due to model limitations to inform stakeholders of their risk profile and development of compensating controls
Contributes to strategic, cross-functional initiatives within the model risk organization
Full management responsibility of a team, which may include management of people, budget and planning, to include duties such as performance evaluation, compensation, hiring, disciplinary and terminations and may include budget approval
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards
Requirements:
10+ years experience
Consistently demonstrates clear and concise written and verbal communication skills
Self-motivated and detail oriented
Demonstrated project management and organizational skills and capability to handle multiple projects at one time
Practical experience using SAS or similar statistical coding software to build and test prediction models
comfortable interfacing with business clients
proficiency handling very large data sets
Experience in a quantitative role in risk management at a financial institution with experience in either model development or validation
Good knowledge and understanding of a variety of model development and validation testing techniques covering risk models
Advanced Degree (Bachelors required, Masters / PhD preferred) in Statistics, Applied Mathematics, Operations Research, Economics, MBA (Finance), or other highly quantitative discipline
10+ years’ experience in performing quantitative analysis, statistical modeling, loss forecasting, loan loss reserve modeling, and particularly econometric modeling of consumer credit risk stress losses
Experience in managing mid to large sized teams and managing projects and stakeholders
Experience with dynamics of unsecured or secured products a strong plus
Active role in performing some analytical components of an econometric modeling-driven stress loss process
Exposure to various stress loss modeling approaches at the segment or account level preferred
Ability to manage work and relationships in cross functional teams
Able to communicate technical information verbally and in writing to both technical and non-technical audiences
Proficiency in SAS/SQL/Oracle/Unix/Microsoft Word, Excel and PowerPoint
Nice to have:
Experience with dynamics of unsecured or secured products a strong plus
Exposure to various stress loss modeling approaches at the segment or account level preferred
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