- The Model/Anlys/Valid Analyst II is a developing professional role. Applies specialty area knowledge in monitoring, assessing, analyzing and/or evaluating processes and data for Artificial Intelligence and Machine Learning models (AI/ML). Identifies policy gaps and formulates policies. Interprets data and makes recommendations. Researches and interprets factual information. Identifies inconsistencies in data or results, defines business issues and formulates recommendations on policies, procedures or practices. Integrates established disciplinary knowledge within own specialty area with basic understanding of related industry practices. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Develops working knowledge of industry practices and standards.
- Applies knowledge on machine leanering, deep learning, natural language processing, optical character recongnition and speech recognition.
- Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own team.
- Responsibilities:
- Develops, enhances, and validates the methods of measuring and analyzing risk, for all risk types including market, credit and operational. Also, may develop, validate and strategize uses of AI/ML and AI/ML model related policies.
- Leads project in terms of development, programming, integration, testing, and validation of models.
- Provides analytical support on analysis and benchmarking.
- Prepares business as usual and ad-hoc reports in accordance with the Risk Management Teams priorities and requirements, running integrity checks on the reports and checking key numbers from other independently created reports.
- Participates in a project of constant improvement of risk analytics, modeling and validation systems and optimization of reports.
- Works on constant improvement of reporting system and optimization of Credit MIS Reports.
- 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.
Qualifications:- Demonstrated programming (Python, SAS, SQL, R, etc.). Knowledge of tools like VBA preferable.
- Basic knowledge of Statistics and machine learning.
- Good communication skill to communicate technical information verbally and in writing to both technical and non-technical audiences.
- Proven analytical skills, with the ability to identify root causes and trends and anticipate horizon issues.
- Proficient in Microsoft Office (Word, Excel, and PowerPoint
- 2-4 years experience in model implementation/validation/development preferable.
Education:- Masters in Statistics or Economic or Mathematics or Computer Science
------------------------------------------------------
Job Family Group:
Risk Management
------------------------------------------------------
Job Family:
Risk Analytics, Modeling, and Validation
------------------------------------------------------
Time Type:
Full time
------------------------------------------------------
Citi is an equal opportunity and affirmative action employer.
Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Citigroup Inc. and its subsidiaries ("Citi”) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View the "EEO is the Law" poster. View the EEO is the Law Supplement.
View the EEO Policy Statement.
View the Pay Transparency Posting