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The manger supports Bank responses to audit, model risk management and regulatory examinations and for all Credit Risk Stress Testing Activities and coordinates these activities with the Senior Director - Risk Analytics, the as well as the heads of Model Development, Model Implementation, and Capital Planning.
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Credit risk model types (e.g., CECL, PD/LGD, Roll Rate, Scorecards, Stress Testing, etc. Direct experience performing model validations or model development, including concepts such as back testing, stress testing, sensitivity testing, and benchmarking.
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As a member of the Risk & Regulatory Advisory team, you will advise financial institutions on a broad range of credit risk management topics including organization and governance; credit process optimization; risk rating model design, build and implementation; credit regulatory assessments; and Current Expected Credit Losses (CECL) process and tools.
$232,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Strong Knowledge of Data Integration and Data Warehouse architecture, requirement analysis, design, development and testing using various Software development lifecycle SDLC processes (Waterfall model, Agile.
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3+ years of experience conducting the following activities: business requirements gathering, functional design process, functional configuration, system testing, and solution delivery, UAT customer support, process document creations and review, working with onsite and offshore delivery model.
$198,375 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Machine Learning: The data scientist is familiar with machine learning algorithms and techniques, understanding supervised and unsupervised learning, feature engineering, model evaluation, and optimization.
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Perform data sourcing, data model, data enrichment, reference & metadata management, data security & entitlements, and overall data management and governance. Ensure system data integration by providing testing and review of data requirements and related updates on data quality, including the data flow within Audit Tools / Systems and between external system.
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Lead initiatives for AI model validation, testing, and ongoing maintenance, integrating feedback from the CoE. Lead initiatives for AI model validation, testing, and ongoing maintenance, integrating feedback from the CoE.
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