Software testing • irving tx
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The average salary range is between $ 80,006 and $ 152,000 year , with the average salary hovering around $ 107,500 year .
Citibank, N.A. seeks a Stress Testing 2nd LOD Lead Analyst for its Irving, TX location.
Duties: Develop and deliver quantitative approaches for stress scenarios to estimate and forecast potential losses, while consistently challenging the accuracy of these forecasts. Evaluate forecasted losses within the context of the firm's risk appetite and recommend appropriate risk mitigation strategies, oversee their implementation, and challenge their effectiveness. Oversee cross-discipline team members to meet project deadlines related to stress testing and loss forecasting and challenge any discrepancies or delays. Interpret key findings for impactful presentations, review the quality of reporting, and challenge any inaccuracies. Contribute to enterprise-wide stress testing programs and loss forecasting for early identification and assessment of emerging risks, oversee execution, and challenge processes and inconsistencies. Assist in monitoring and implementing risk management policies and procedures and constantly review them for potential improvements. Coordinate with the Citigroup CRO and executive management team to present stress testing and loss forecast results, using these insights to develop risk mitigation strategies. Work closely with Risk Reporting, Data Analytics, and Technology departments to streamline procedures and improve loss forecasting models, while maintaining oversight and challenging any inefficiencies. 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 Mathematics, Statistics, Quantitative Finance, or a related field, and six (6) years of experience in the job offered or in a related quantitative occupation developing and delivering stress testing models. Six (6) years of experience must include: Understanding of a wide range of various quantitative techniques and statistical concepts, including assumptions, strength and limitations; Utilizing the full model development lifecycle, including data acquisition, cleaning, feature engineering, model selection, training, hyperparameter tuning, validation, deployment, monitoring, and maintenance; Using libraries and tools for data loading, transformation, analysis, and visualization; Translating business requirements into technical specifications and understanding the impact of model decisions on business outcomes and; Utilizing clean code principles, modular design, unit testing, integration testing, code reviews, and version control; and Executing stress testing model development and implementation. In the alternative, employer will accept a Master's degree, or foreign equivalent, and four (4) years of experience. Employer will accept pre- or post- Master's degree experience. 40 hrs./wk. Applicants submit resumes at (opens in new window). Please reference Job ID #26982529. EO Employer.
Wage Range: $144,100.00 to $171,600.00
