Citibank, N.A. seeks a Model/Analysis/Validation Senior Analyst for its Tampa, Florida location.
Duties: Develop, enhance and validate methods of measuring and analyzing risk including anti-money laundering, market, credit and operational. Validate various Risk scoring models, including KYC, CRS Tools, Machines learning models, Segmentation tools, Rule base and Risk based scenarios for Anti-Money Laundering (“AML”) purposes using SAS, Python, R, PySpark, SQL, MANTAS, Target Mart, Presto and Hive for consumer and commercial business. Perform empirical analysis (distribution of data) and below the line testing (detect productive alerts near current threshold). present statistical and non-statistical data to stakeholders and provide solutions based on analyses. Develop and automate data inputs tool to analyze input data from various input sources. Utilize Python and Pyspark packages. Perform extensive empirical data analysis on various data sources including oracle, presto, mantas, big data, large CSV, Excel and XML files. Interact with key stakeholders in Internal/Independent Audit, Technology/Implementation, Compliance, and leadership teams to facilitate discussions on RFIs, validation, findings, observations and KIUR. Analyze the trend of breaks/alerts, deriving the shift in trend and percentage change. Conduct distribution analysis on cumulative, percentage and frequency distributions. Perform z-scores, IQR & hypothesis testing to identify outliers and measure the impact on data using mode, median & central tendency. Apply appropriate imputation and defaulting logics. Conduct data stability analysis to check seasonality/trend using t-tests, population stability index (PSI) and ANOVA. Collaborate and develop tools to assess and validate the performance of money laundering tools/scenarios/models. Review documentations to ensure that they are in line with Citi operating guidelines and are sufficient for validation purposes. Generate statistical models to improve methods of obtaining and evaluating quantitative and qualitative data. Validate assumptions and limitations, and escalate identified risks and sensitive areas in methodology and process. A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite, in accordance with Citi policies and protocols.
Requirements: Requires a Master’s degree, or foreign equivalent, in Business Analytics, Information Systems, Statistics, or related field and 3 years of experience as a Senior Systems Engineer, Business Intelligence Analyst, or related position involving developing and validating predictive models. Alternatively, employer will accept a Bachelor’s degree in the stated fields and 5 years of the specified progressive, post-baccalaureate experience. Full span of experience must include: Conducting exploratory data analysis and statistical data analysis; Utilizing SQL & Linux scripting; Utilizing Python; and Utilizing Project management tools including Kanban, Git, MS Office Tools and SharePoint. Applicants submit resumes at https://jobs.citi.com/. Please reference Job ID #25852705. EO Employer.
Wage Range: $134,659 to $134,659
Job Family Group: Risk Management
Job Family: Risk Analytics, Modeling and Validation
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Time Type:
Full time------------------------------------------------------
Primary Location:
Tampa Florida United States------------------------------------------------------
Primary Location Full Time Salary Range:
In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
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Anticipated Posting Close Date:
Jun 06, 2025------------------------------------------------------
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