Risk Analytics – Assistant Vice President

• Develops, enhances, and validates the methods of measuring and analyzing risk, for all risk types including market, credit and operational
• May develop, validate and strategize uses of scoring models and scoring model related policies
• Conducts statistical analysis for risk related projects and data modeling/validation
• Applies quantitative and qualitative data analysis methods including SAS programming, Structured Query Language (SQL) to extract, transform and analyze data and Visual Basic programming language
• Prepares statistical and non-statistical data exploration, validate data, identify data quality issues
• Conducts data analysis, data mining, read and create formal statistical documentation, reports and work with Technology to address issues
• Analyzes and interprets data reports, make recommendations addressing business needs
• Uses Predictive modeling methods, Optimizing monitoring systems, document optimization solutions, and present results to non-technical audiences
• create formal documentation using statistical vocabulary
• Generates statistical models to improve methods of obtaining and evaluating quantitative and qualitative data and identify relationships and trends in data and factors affecting research results
• Validates assumptions
• escalate identified risks and sensitive areas in methodology and process
• Automates data extraction and data preprocessing tasks
• Perform ad hoc data analyses
• Design and maintain complex data manipulation processes
• Provide documentation and presentations
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets
• Driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices
• Escalating, managing and reporting control issues with transparency

• 7+ years' experience
• Proficient in Microsoft Office with an emphasis on MS Excel
• Proficiency in data analysis and visualization tools such as Python and Tableau is required to effectively manage, interpret, and present complex risk data and models
• Consistently demonstrates clear and concise written and verbal communication skills
• Self-motivated and detail oriented
• Demonstrated project management and organizational skills and capability to handle multiple projects at one time

• Analytical Thinking
• Business Acumen
• Constructive Debate
• Data Analysis
• Escalation Management
• Policy and Procedure
• Policy and Regulation
• Risk Controls and Monitors
• Risk Identification and Assessment
• Statistics

Global benefits designed to support well-being, growth and work-life balance