Manage & execute fraud analytics & strategies supporting Citi's North American & global credit card & retail bank businesses. A telecommute/hybrid work schedule may be permitted within a commutable distance from the worksite, in accordance with Citi policies & protocols.
REQS: Master's degree, or foreign equivalent, in Business Analytics, Statistics, Math, Physics, Economics, or related quantitative field & 2 years of experience as a Business Analytics Analyst, Business Data Analyst, Analytics Manager, Systems Engineer, Applications Development Associate, or related position involving data analysis & trends identification in support of business strategies executions. Alternatively, employer will accept a Bachelor's degree in the stated fields & 5 years of the specified progressive, post-bachelor experience.
Full span experience must include: Leveraging SAS, Python & SQL programming to extract, transform & analyze complex datasets; Using Python, R & SQL for data wrangling & data manipulation; Performing analysis of large datasets to derive patterns, identify key trends & develop actionable strategies to improve business performance; Data visualization & report generation using Tableau & Excel Pivot to monitor key business metrics; Utilizing quantitative & analytical skills, including descriptive statistics, regression, clustering, decision tree, anomaly detection & trend analysis to extract actionable insights from diverse datasets; Evaluating model performance & identifying areas of improvement while considering bias-variance tradeoff; & UNIX Command line tools for system administration & data management.
Salary range: $146,100 to $146,100/yr; 40 hrs/wk. Applicants submit resumes at https://jobs.citi.com/. Please reference Job ID #26941056. Citi offerings may include discretionary incentive & retention awards for eligible employees. Citi also offers competitive benefits. See citibenefits.com. EO Employer.
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