Business Model Validation and Implementation- Assistant Vice President

Citi’s Risk Modeling Solutions department is responsible for the development, delivery, and monitoring of all credit risk models across Citi’s consumer lending portfolios globally. These models grant and manage credit to individual customers and support business planning. The Role Model/Anlys/Valid Sr Analyst – C12 position sits within the Model Implementation and Execution Team and is responsible for deployment of real time models within SDLC framework.

Responsibilities:

• Advanced experience in Python, knowledgeable in C.
• Firm understanding of Linux operating system and Linux scripts.
• Optimize, test, and validate professional grade code for the implementation and execution of Risk models utilizing C and Python in a Linux environment following SDLC lifecycle.
• Develop Linux scripts to automate execution within operating environment.
• Facilitate process to deploy code across lower and upper environments.
• Develop and implement robust automated controls to ensure clean execution.
• Extract, manage, and validate data for both model development and production execution.
• Provide analysis and detailed results of project deliverables.
• Simplify processes to reduce risk.
• Provide ad-hoc support to Modeling Team.
• Identify issues, document root cause and propose solutions.
• Development and maintenance of system documentation to include process flow designs, charts, decks, etc.

Qualifications:

• 7+ years’ experience Python and Linux, knowledgeable in C.
• Understanding of SDLC lifecycle and deploying code from lower to upper environments.
• Strong data analysis and validation skills.
• Excellent ability to develop partnerships across multiple business and IT teams.
• Strong written and oral communication skills.
• Excellent quantitative and analytic skills.
• Develops strong working relationships that foster cooperation and respect.
• Experience with econometric modeling, machine learning, statistical modeling, or application risk scoring a plus.

Education:

• BA/BS degree in Computer Science, Computer Information Systems, Mathematics, Engineering or equivalent experience.
• Firm understanding of Linux operating system and Linux scripts.
• Optimize, test, and validate professional grade code for the implementation and execution of Risk models utilizing C and Python in a Linux environment following SDLC lifecycle.
• Develop Linux scripts to automate execution within operating environment.
• Facilitate process to deploy code across lower and upper environments.
• Develop and implement robust automated controls to ensure clean execution.
• Extract, manage, and validate data for both model development and production execution.
• Provide analysis and detailed results of project deliverables.
• Simplify processes to reduce risk.
• Provide ad-hoc support to Modeling Team.
• Identify issues, document root cause and propose solutions.
• Development and maintenance of system documentation to include process flow designs, charts, decks, etc.

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