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Citibank, N.A. seeks a Risk Policy Officer for its Schaumburg, IL location. The role involves developing analytical solutions, evaluating strategies, and collaborating with technology teams to minimize risk exposure and losses in Citi's retail services and branded cards portfolios.
Job Responsibility:
Developing analytical solutions in SAS and other data querying tools to support various analytical projects
Evaluating the effectiveness of the various strategies being tested
Contributing to the development of new systems in collaboration with technology teams by performing user acceptance tests
Utilizing experience with UNIX and SAS to perform risk, financial, and data analysis including profiling, sampling, reconciliation, and quality testing
Developing recommendations to adjust collections risk policies by analyzing credit and financial performance utilizing statistical scoring, segmentation, regression, and simulation techniques
Developing collection strategies to minimize Citi retail services and branded cards portfolios’ risk exposure and losses by utilizing statistical methodologies such as clustering, chi-square automatic interaction detector, and analyzing the key statistical indicators to ensure risk models
Identifying issues that can affect the performance of risk strategies at any scenario and monitor the impact of implemented changes on portfolio performance by leveraging tools like SQL, Python, R, and Microsoft Excel
Developing and monitoring dashboards to identify any deviation from the expected result of the models and initiate the remediation process to address issues or limitations that are identified in the model review exercise
Requirements:
Bachelor’s degree, or foreign equivalent, in Electrical and Computer Engineering, Operations Research, Information Technology, or a related field
Five (5) years of experience in the job offered, or in a related quantitative occupation
Building and deploying advanced analytics solution in B2C environment including customer segmentation, fraud detection, and risk strategies
Developing strategies using SAS and SQL to minimize risk or fraud exposure
Using different statistical modelling techniques including Decision Tree, regression, clustering, and analysis of variance
Identifying potential factors that impact the effectiveness of various strategies across scenarios, monitoring the effects of applied modifications on portfolio performance, and resolving any identified issues using SQL and Big Data/Hadoop programming
Creating and overseeing dashboards to detect deviations from the anticipated outcomes of models and implementing remedial actions to resolve issues or constraints identified during model review using Tableau
Monitoring the performance of portfolios and implemented models through internal reports to ensure the performance of the strategies are within the acceptable range in terms of Bad Rates, Net Contractual, and operational expenses
In the alternative, employer will accept a Master’s degree and three (3) years of experience
What we offer:
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
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