The Model/Anlys/Valid Officer is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. Recognized technical authority for an area within the business. Requires basic commercial awareness. There are typically multiple people within the business that provide the same level of subject matter expertise. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Significant impact on the area through complex deliverables. Provides advice and counsel related to the technology or operations of the business. Work impacts an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family.
Responsibilities:
• Understanding the need and estimating SAS space requirement for yearly CCAR cycle based on discussion with MRM Validation Teams (considering Retail & PPNR Loss Forecasting area) Collaboration with Unix infrastructure team on the planning of space allocation & schedule for the same Setting up processes in collaboration with Validation Teams, Sponsors & Unix Infrastructure Team to effectively manage space on the server
• Arrive at effective ways to manage datasets by avoiding multiple occurrences of the same datasets
• Use Functional ID (Super role) effectively to take a control and manage files on the server
• Create and implement Archive / back up / deletion policies
• Creation of effective file systems on the server to take care of needs of validation Teams Managing, monitoring, reporting space utilized on the server & sharing the reports with users on a regular basis Setting up folders structures, group and user entitlements (read, write access) to make sure legitimate users are allowed to access the space
• Restrict users to read only based on business requirements (QC, Reporting Teams do not need execute access)
• Educate users on setting up ownership and assignments to protect the data from deletion
• Identify any potential risk of non-allocation of space and accordingly working on mitigation actions Support to validation teams on regular system updates, migrations updates, troubleshooting the errors, responding to users queries & also educating them
Qualifications:
• 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.
• Should have worked as Unix / Linus server administrator, Experience with Citi SAS, technology infrastructure experience is highly preferred
• Knowledge of UNIX and LINUX operating systems, storage environments, file systems, and network protocols
• Detailed knowledge of UNIX principles, file editing, UNIX commands, and file manipulation
• Familiarity with Windows, UNIX, LINUX, and LINUX shell scripting
• Understanding of backup procedures and storage management
• Knowledge of networking principles & computer hardware systems
• Excellent troubleshooting, project management, communication skills
• Model risk management or model development experience is a plus
• Programming skills in R, SQL or other programing language is preferred
• Prior experience working in similar role for a financial institution is preferred
• A self-starter with strong planning, organizational skills, and willingness to learn
• 7+ years of experience
• Consistently demonstrates clear and concise written and verbal communication skills
• Demonstrated project management and organizational skills and capability to handle multiple projects
Education:
• MS/ BS in Computer Science, Information Technology, or a similar field
• Bachelor’s/University degree or equivalent experience, potentially Masters degree
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Job Family Group:
Risk Management
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Job Family:
Risk Analytics, Modeling, and Validation
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Time Type:
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