Model Validation 2nd LOD Sr. Analyst

Citi • Irving, TX

4d • Hybrid

About The Position

Citibank, N.A. seeks a Model Validation 2nd Line of Defense Senior Analyst for its Irving, Texas location. Duties: Develop, enhance, and validate methods of measuring and analyzing risk, including market, credit and operational risk. Develop, validate and strategize uses of scoring models and scoring model related policies. Conduct statistical analysis for risk related projects, data modeling and validation. Apply quantitative and qualitative data analysis methods including SAS programming, Structured Query Language (SQL), Visual Basic programming language, and time series analysis to extract, transform and analyze data. Prepare statistical and non-statistical data exploration, validate data, and identify data quality issues. Develop model libraries using advanced statistical, quantitative, or econometric techniques. Conduct data analysis, and data mining. Read and create formal statistical documentation and reports to address issues. Analyze and interpret data reports. Make recommendations addressing business needs. Use predictive modeling methods, including time series, regression and cluster analysis to optimize monitoring systems, document optimization solutions, and present results to non-technical audiences. Write formal documentation using statistical vocabulary. Generate 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. Automate data extraction and data preprocessing tasks. Perform ad hoc data analyses, design and maintain complex data manipulation processes. A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite, in accordance with Citi policies and protocols.

Requirements

• Master’s degree, or foreign equivalent, in Statistics, Finance, Economics, Applied Economics, Predictive Analytics or related field and 2 years of experience as an Economist, Quantitative Analyst or related position involving model validation and development for the financial services industry.
• Alternatively, a Bachelor’s degree in the stated fields and 5 years of the specified progressive, post-baccalaureate experience.
• SAS programming, Structured Query Language (SQL) and Visual Basic programming language
• Statistical analysis
• Econometrics
• Data analysis and mining
• Model development and validation
• Financial markets and products
• Microsoft Office Suite and Excel
• Predictive modeling methods: time series, cluster and regression analysis
• Accounting principles and GAAP

Responsibilities

• Develop, enhance, and validate methods of measuring and analyzing risk, including market, credit and operational risk.
• Develop, validate and strategize uses of scoring models and scoring model related policies.
• Conduct statistical analysis for risk related projects, data modeling and validation.
• Apply quantitative and qualitative data analysis methods including SAS programming, Structured Query Language (SQL), Visual Basic programming language, and time series analysis to extract, transform and analyze data.
• Prepare statistical and non-statistical data exploration, validate data, and identify data quality issues.
• Develop model libraries using advanced statistical, quantitative, or econometric techniques.
• Conduct data analysis, and data mining.
• Read and create formal statistical documentation and reports to address issues.
• Analyze and interpret data reports.
• Make recommendations addressing business needs.
• Use predictive modeling methods, including time series, regression and cluster analysis to optimize monitoring systems, document optimization solutions, and present results to non-technical audiences.
• Write formal documentation using statistical vocabulary.
• Generate 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.
• Automate data extraction and data preprocessing tasks.
• Perform ad hoc data analyses, design and maintain complex data manipulation processes.

Benefits

• medical, dental & vision coverage
• 401(k)
• life, accident, and disability insurance
• wellness programs
• paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Senior