

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

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.
Responsibilities:
Qualifications:
Additional non-core qualifications which will be considered are:
Education:
Time Type:
משרות נוספות שיכולות לעניין אותך

Key Responsibilities:
Monitor adherence to the organization’s Charter, Manual, and other related governance documentsacross GRR Review teams, ensuring a consistent approach to maintaining compliance
Revise and amend governance documents as required, ensuring their relevance and effectiveness align with organizational needs and regulatory changes
Collaborate with senior stakeholders on preparing review materials related to these governance documents, facilitating clear and effective communication of processes
Conduct comprehensive reviews of various processes to verify compliance with the GRR Charter, Manual, and other related governance documents
Support Internal Audit and Regulatory requests promptly and accurately, ensuring adherence to regulatory standards and requirements
Assume responsibility for the Management Control Assessment (MCA) process within the function, ensuring all controls are properly designed, executed, and tested to mitigate identified risks. This includes identifying, reporting any control gaps or weaknesses, and proposing solutions for improvements
Develop and maintain relationshipsacross GRR Review teamsto better understand and deliver governance requirements
Skills and Qualifications:
Proven experience in a similar role in governance
5-8 years of experience required in a financial services role, Citi experience preferred
Exceptional written and verbal communications skills, with the ability to express and communicate concisely and clearly with various levels of management
Strong attention to detail with the ability to conduct thorough reviews
Broad knowledge of rules and regulations relevant to the organization; staying aware of evolving requirements
Ability to adapt to an agile environment and update governance documents as needed
Excellent time management and organizational skills
Self-motivated, energetic, responsive team player with the interest to take initiative and work in a fast-paced environment
Problem solving and influencing skills, including the ability to manage multiple stakeholders, projects, and deliverables with varying objectives simultaneously and independently
Proficient in Microsoft Office (Excel, Power Point, Word, etc)
Education:
Bachelor’s/Universitydegree, Master’s degree preferred
Full timeIrving Texas United States$125,760.00 - $188,640.00
Anticipated Posting Close Date:
משרות נוספות שיכולות לעניין אותך

There will be multiple Headcount to complete these responsibilities, role reports into the GRR Business Execution Lead (BEL).
Key responsibilities:
Human Capital: Partner with GRR CAO, BEL, Human Resource, Business Planning & Analysis and Headcount Management teams in the execution of staffing requirements including organizational design, capacity planning, headcount approval and tracking; location and real estate strategy, continuity of business planning, and resolution planning. Support the review and completion of all Hiring Council requests and submissions. Prepare periodic updates to GRR Management on hiring targets.
Employee Communications: Engage incommunications/activitiesplanning and assist with Voice of the Employee program to identify opportunities for GRR employee engagement.
Ad-hoc projects as necessary. Has the ability to operate with a limited level of direct supervision.
Qualifications
Anticipated Posting Close Date:
משרות נוספות שיכולות לעניין אותך

The SVP, Regulatory Architecture Compliance - Technology Design serves as a senior compliance risk officer for Independent Compliance Risk Management (ICRM) responsible for establishing internal strategies, policies, procedures, processes, and programs to prevent violations of law, rule, or regulation and design and deliver a risk management framework that maintains risk levels within the firm's risk appetite and protect the franchise.
The ICRM Regulatory Architecture Compliance (RAC) team is responsible for oversight of the end-to-end Regulations Management process. This includes how Citi identifies, assesses, and implements Laws Rules Regulations (LRRs). This role is part of the RAC Technology team and will be primarily responsible for overseeing the technical design and implementation of reporting requirements related to the program.
Responsibilities:
Qualifications:
Education:
Anticipated Posting Close Date:
משרות נוספות שיכולות לעניין אותך

Requirements: Bachelor’s degree, or foreign equivalent, in Statistics, Mathematics, Technical Science, Economics, or a related field, and five (5) years of experience in the job offered or in a related quantitative occupation performing model development and validation activities within the financial services industry. Five (5) years of experience must include: Validating and developing Consumer Decision models and Anti-Money Laundering models using Predictive and Machine Learning modeling techniques including generalized linear models, logistic regression, decision trees, Random Forest, and GBM/XGBoost; Performing SAS, R, and Python statistical analysis and preparing and processing data using Oracle, SQL Server and Data Warehouses for model development and validation; Assessing and quantifying model risk across the model lifecycle by performing statistical, data, and quantitative analysis for model development using business tools: Supporting external regulatory examinations and internal audits related to Consumer Decision and Anti-money Laundering models; Coordinating the completion of assigned tasks and projects with stakeholders related to model lifecycle, and planning strategic and cross-functional initiatives; Designing technical solutions supporting complex data reporting and analytical tasks as well as generating complex graphic data reports including data crosstabs, descriptive statistics, and charts; and Creating statistical documentation with supporting analyses, testing results, and rationales for key decisions and ensuring documentation meets regulatory guidelines and industry standards. 40 hrs./wk. Applicants submit resumes at . Please reference Job ID #25863083. EO Employer.
Wage Range: $144,900 to $169,110.50/year
Full timeIrving Texas United States
Anticipated Posting Close Date:
משרות נוספות שיכולות לעניין אותך

Responsibilities:
Qualifications:
Education:
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Anticipated Posting Close Date:
משרות נוספות שיכולות לעניין אותך

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