

Duties: Perform a variety of object validation project requests and provide technical review of non-model objects developed with advanced machine learning and artificial intelligence methodologies. Perform the technical review process including the analysis and identification of an AI/ML object and distinguish such objects from a model. Perform research of the methodology and algorithm used for an object, while collecting the input and output of an object to assess the soundness of the object’s methodology. Scrutinize the performance testing results of the object and evaluate the potential risk exposed from the submitted object. Align the prescribed requirements of the Model Risk Management Review Policy for Non-model AI/ML objects, and comply with any additional requirements from U.S. regulators including FRB and OCC. A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite in accordance with Citi policies and protocols.
Requirements: Master’s degree, or foreign equivalent, in Applied Mathematics, Statistics (any), Actuarial Science, or a related field, and two (2) years of experience in the job offered or in a related quantitative occupation performing artificial intelligence (AI) and machine learning (ML) application review, validation, and risk analysis. Two (2) years of experience must include: Analyzing and assessing the risk of applications developed based on advanced Machine Learning (ML) techniques including natural language processing and generative AI; Utilizing statistical programming on R, Python, SAS, and VBA for independent and incremental testing of applications built with unsupervised learning methods, natural language processing, and generative AI; Developing generative AI and NLP model risk management guidelines and procedures to conduct model/object reviews including model/object identification, validation, and monitoring; Developing generative AI applications to compose validation reports with expertise in prompt engineering and evaluating the accuracy and efficiency of the generated reports; Fine-tuning generative AI to conduct specific banking related tasks, including sentiment analysis of customer credit card reviews and creating visualizations of cost-benefit analysis to guide the selection of base models; and Researching advanced evaluation methods for unsupervised learning applications and documenting feasibility analysis for future usage with case studies. Employer will accept pre- or post- Master’s degree experience. 40 hrs./wk. Applicants submit resumes at . Please reference Job ID# 25859781. EO Employer.
Wage Range: $144,700.00 to $175,300.00
Full timeIrving Texas United StatesPlease see the requirements listed above.For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
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The Senior Executive Assistant provides support to another individual or group of individuals by handling correspondence, managing calendars and appointments, arranging conferences and conference calls, making travel arrangements and providing other administrative tasks.Responsibilities:
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Transaction Management will be responsible for supporting multiple aspects of the lending lifecycle including but not limited to loan closing and servicing coordination, facilitating complex client onboarding, data management, and quality control. The team will be accountable and responsible for operational oversight of the closing and servicing of all loan transactions of the business division being supported to ensure all internal and external requirements are met.
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The Business Risk and Control Sr Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and workflow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.
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Bachelor's/University degree or equivalent experience.
Risk ManagementFull timeIrving Texas United States$96,400.00 - $144,600.00
Anticipated Posting Close Date:

Duties: Perform a variety of object validation project requests and provide technical review of non-model objects developed with advanced machine learning and artificial intelligence methodologies. Perform the technical review process including the analysis and identification of an AI/ML object and distinguish such objects from a model. Perform research of the methodology and algorithm used for an object, while collecting the input and output of an object to assess the soundness of the object’s methodology. Scrutinize the performance testing results of the object and evaluate the potential risk exposed from the submitted object. Align the prescribed requirements of the Model Risk Management Review Policy for Non-model AI/ML objects, and comply with any additional requirements from U.S. regulators including FRB and OCC. A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite in accordance with Citi policies and protocols.
Requirements: Master’s degree, or foreign equivalent, in Applied Mathematics, Statistics (any), Actuarial Science, or a related field, and two (2) years of experience in the job offered or in a related quantitative occupation performing artificial intelligence (AI) and machine learning (ML) application review, validation, and risk analysis. Two (2) years of experience must include: Analyzing and assessing the risk of applications developed based on advanced Machine Learning (ML) techniques including natural language processing and generative AI; Utilizing statistical programming on R, Python, SAS, and VBA for independent and incremental testing of applications built with unsupervised learning methods, natural language processing, and generative AI; Developing generative AI and NLP model risk management guidelines and procedures to conduct model/object reviews including model/object identification, validation, and monitoring; Developing generative AI applications to compose validation reports with expertise in prompt engineering and evaluating the accuracy and efficiency of the generated reports; Fine-tuning generative AI to conduct specific banking related tasks, including sentiment analysis of customer credit card reviews and creating visualizations of cost-benefit analysis to guide the selection of base models; and Researching advanced evaluation methods for unsupervised learning applications and documenting feasibility analysis for future usage with case studies. Employer will accept pre- or post- Master’s degree experience. 40 hrs./wk. Applicants submit resumes at . Please reference Job ID# 25859781. EO Employer.
Wage Range: $144,700.00 to $175,300.00
Full timeIrving Texas United StatesPlease see the requirements listed above.For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
משרות נוספות שיכולות לעניין אותך