Business Risk Senior Analyst

Business Risk Senior Analyst

Requirements

• Bachelor’s degree, or foreign equivalent, in Information Technology and Management, Computer Engineering, Mathematics, Business Analytics, or a related field
• Three (3) years of experience in the job offered or in a related quantitative occupation analyzing business data collection processes and data integrity within the financial services industry
• Three (3) years of experience must include: Working with stakeholders and technology partners to design solutions and improve existing IT systems including data collection, data management, and decisioning systems; Querying large amounts of data using SQL scripting and transforming raw data into actionable management information; Using SAS, SAS DATA step, SAS SQL, MACROS, and RDBMS tools including Teradata to develop comprehensive risk dashboards showcasing risk control performance and risk exposure; Developing control enhancements and automation of strategies, reporting, and other repetitive processes using job scheduling tools including Autosys, and Unix or mainframe platform; Providing senior management with business insights of process performance using an understanding of the consumer lending operational processes and complex risk measurements including delinquencies and charge offs; and Providing analytical support using SAS programming and Unix shell scripting to various risk management initiatives by understanding their requirements, addressing urgent queries, and delivering actionable insights promptly.

Responsibilities

• Analyze business data collection processes, data integrity, and develop control solutions to improve data collection and quality
• Perform validation and performance monitoring of credit card and retail bank data to ensure adherence to Citi’s quality standards
• Analyze user requirements, procedures, and problems to automate and enhance existing IT systems
• Perform data reconciliation of internal and external data sources using SQL and Teradata to ensure data consistency
• Coordinate ad hoc data requests from various local, regional, and global risk functions and deliver actionable business insights
• Write programs and execute risk reporting and data reconciliation using SAS code, DATA step, SAS SQL, and MACROS
• Enhance and automate the validation of branded cards strategies, reporting, and other repetitive processes leveraging Unix and Autosys
• Integrate data sources and develop data routines to create standardized datasets from raw data
• Develop risk controls by implementing advanced statistical methods and innovative techniques for efficient data validation
• Develop comprehensive risk dashboards to monitor critical key metrics and provide insights on portfolio performance, risk control performance and risk exposures
• Coordinate with domestic and international teams on time critical projects and evaluate information from multiple sources to maintain complex and dynamic workflows and scoring processes
• Develop analytical solutions and reporting to track effectiveness of processes, identify potential process improvements, and present insights to senior level individuals.

Preferred Qualifications

No preferred qualifications provided.