Stress Testing 2nd LOD Senior Analyst
Citigroup Inc., Irving, TX, United States
Position
Citibank, N.A. seeks a Stress Testing 2nd LOD Senior Analyst for its Irving, Texas location.
Responsibilities
Conduct statistical analysis for risk‑related projects and build quantitative forecasting models to support the bank’s risk management objectives, used to assess Market Risk, Credit Risk, and Operational Risk. Generate stress testing scenarios for regulatory frameworks including CCAR, CECL, IFRS9, and GSST. Present the results of various forecasting scenarios and write formal documentation for model validation and performance monitoring. Analyze and interpret data reports from internal and external data sources to identify trends and present findings to senior management. Validate model assumptions, escalating identified risks and sensitive areas. Automate data extraction and preprocessing using ETL tools and programming languages such as R, Python, and VB. Perform ad‑hoc statistical analyses, scenario tests, and sensitivity assessments. Design, maintain and optimize complex data manipulation processes, ETL pipelines and automated workflows using SQL and Python. Visualize results using Excel, Tableau, Python, and R. Conduct statistical research to evaluate model performance, enhance methodologies, and refine forecasting frameworks. Develop back‑testing packages, program validation materials, and predictive modeling methods including time‑series analysis and logistic regression. Implement model monitoring metrics for stability and accuracy. Prepare and validate large‑scale datasets, performing data‑quality checks. Document methodologies for reproducibility and technical compliance. Collaborate with model developers, validators, and technology teams.
Qualifications
Master’s degree in Economics, Finance, Mathematics, or related field, or foreign equivalent and a minimum of 2 years of experience as a senior analyst or developer in quantitative data manipulation, model development, and economic research. Alternatively, Bachelor’s degree in these fields and at least 5 years of progressively responsible experience in the same area. Required expertise: predictive modelling (time‑series, regression, logistic regression); data extraction automation; SQL, R; data validation and quality control. At least one year experience must include measuring and analyzing market, credit, and operational risk; knowledge of banking regulations CCAR, CECL, IFRS9, GSST; statistical analysis, data modeling and validation; model risk monitoring, limitation assessment, overlay management; conducting macroeconomic market research; SAS, Python.
Benefits & Compensation
Wage Range: $127,400 to $127,400. Additional compensation may include discretionary and formulaic incentive and retention awards. Citi offers comprehensive employee benefits including medical, dental and vision coverage; 401(k); life, accident and disability insurance; wellness programs; paid time off (vacation, sick leave, holidays).
Location & Schedule
Location: Irving, Texas, United States (full time). Telecommuting/hybrid schedule may be permitted within commutable distance from the worksite, in accordance with Citi policies.
Appointment Information
Job Family Group: Risk Management. Job Family: Enterprise Risk. Anticipated posting close date: Jun 11, 2026. Time type: Full time.
EEO Statement
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools or apply for a career opportunity, please review Citi’s accessibility statement. View Citi’s EEO policy statement and Know Your Rights poster.
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Citibank, N.A. seeks a Stress Testing 2nd LOD Senior Analyst for its Irving, Texas location.
Responsibilities
Conduct statistical analysis for risk‑related projects and build quantitative forecasting models to support the bank’s risk management objectives, used to assess Market Risk, Credit Risk, and Operational Risk. Generate stress testing scenarios for regulatory frameworks including CCAR, CECL, IFRS9, and GSST. Present the results of various forecasting scenarios and write formal documentation for model validation and performance monitoring. Analyze and interpret data reports from internal and external data sources to identify trends and present findings to senior management. Validate model assumptions, escalating identified risks and sensitive areas. Automate data extraction and preprocessing using ETL tools and programming languages such as R, Python, and VB. Perform ad‑hoc statistical analyses, scenario tests, and sensitivity assessments. Design, maintain and optimize complex data manipulation processes, ETL pipelines and automated workflows using SQL and Python. Visualize results using Excel, Tableau, Python, and R. Conduct statistical research to evaluate model performance, enhance methodologies, and refine forecasting frameworks. Develop back‑testing packages, program validation materials, and predictive modeling methods including time‑series analysis and logistic regression. Implement model monitoring metrics for stability and accuracy. Prepare and validate large‑scale datasets, performing data‑quality checks. Document methodologies for reproducibility and technical compliance. Collaborate with model developers, validators, and technology teams.
Qualifications
Master’s degree in Economics, Finance, Mathematics, or related field, or foreign equivalent and a minimum of 2 years of experience as a senior analyst or developer in quantitative data manipulation, model development, and economic research. Alternatively, Bachelor’s degree in these fields and at least 5 years of progressively responsible experience in the same area. Required expertise: predictive modelling (time‑series, regression, logistic regression); data extraction automation; SQL, R; data validation and quality control. At least one year experience must include measuring and analyzing market, credit, and operational risk; knowledge of banking regulations CCAR, CECL, IFRS9, GSST; statistical analysis, data modeling and validation; model risk monitoring, limitation assessment, overlay management; conducting macroeconomic market research; SAS, Python.
Benefits & Compensation
Wage Range: $127,400 to $127,400. Additional compensation may include discretionary and formulaic incentive and retention awards. Citi offers comprehensive employee benefits including medical, dental and vision coverage; 401(k); life, accident and disability insurance; wellness programs; paid time off (vacation, sick leave, holidays).
Location & Schedule
Location: Irving, Texas, United States (full time). Telecommuting/hybrid schedule may be permitted within commutable distance from the worksite, in accordance with Citi policies.
Appointment Information
Job Family Group: Risk Management. Job Family: Enterprise Risk. Anticipated posting close date: Jun 11, 2026. Time type: Full time.
EEO Statement
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools or apply for a career opportunity, please review Citi’s accessibility statement. View Citi’s EEO policy statement and Know Your Rights poster.
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