Citi Group Business Analytics Ld Analyst 

United States, Delaware, Wilmington 

238191495

Duties: Mitigate and reduce first-party fraud loss for Citi. Perform complete fraud analytics lifecycle, including loss tracking, building strategies to reduce losses, and implementing those strategies to mitigate risk for Citi. Develop Tableau dashboards to report incoming trends of first-party fraud and send out automatic emails if there is any breach in the metrics of losses. Develop strategies to reduce the incoming losses using machine learning algorithms and implement strategies in the platform. Develop and refresh multiple dashboards with a range of uses including loss and OD (overdraft) dashboards for senior leadership and planning, the rule performance dashboard currently undergoing a mass rule optimization exercise, the FICO DMP (Decision Management Platform) dashboard tracking application outcomes, and a deposit risk dashboard, among others. Analyze deposit risk, first-party fraud, transactional fraud, and digital transactions. Complete model governance processes with minimal direction, helping improve Retail Bank's adherence to Model Risk Management. A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite in accordance with Citi policies and protocols.

Requirements: Bachelor’s degree, or foreign equivalent, in Statistics, Mathematics, Physics, Economics, or a related field, and three (3) years of experience in the job offered or in a related quantitative occupation performing fraud loss analytics within the financial services industry. Three (3) years of experience must include: Demonstrating fraud subject matter expertise, including account opening/acquisitions, first-party fraud, money mule analytics, identity theft, and third-party fraud, and understanding of transactional behaviors, including card-based transactions, electronic transfers, and non-monetary transactions; Developing loss mitigation and impact reduction strategies, from trend recognition to strategy and profile variable development, to deploying these strategies in transactional and acquisition rules engines, including Actimize EFD and FICO Decision Modeler Platform; Building and productionalizing predictive models to predict transactional fraud using multiple methods including logistic regression and XGBoost and deploying those models in a transactional fraud engine; Executing model governance documentation including obtaining approved usage, closing limitations, and performing ongoing performance assessments for internal and vendor models; and Utilizing software and programming languages including Python, SAS, Tableau, and Microsoft Excel to analyze fraud and acquisitions data. 40 hrs./wk. Applicants submit resumes at . Please reference Job ID# 25851842. EO Employer.

Wage Range: $144,900.00 to $172,300.00

Anticipated Posting Close Date: