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Support the DoD science and technology (S&T) community in the creation of software architectures to achieve AFRL digital transformation goals of faster research, better decisions, streamlined transitions, and low-friction business and operations, including supporting the development of model parameterization tools that will enable reliable and accurate modeling and simulation (M&S) of materials used in conceptual weapons and technologies for improving weapon performance.
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This is a hybrid positionTitle: Sr. Model Implementation Developer Our company is looking for an experienced Model Implementation Developer to join our Model Risk Management (MRM) team.
$150,000 - $175,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Address limitations raised by Model Risk Management ("MRM") by applying relevant compensation controls that include further elaboration or additional testing as appropriate. Document models and validate them in accordance with the Model Risk Management Policy.
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As our Principal Forecast Model Analyst , you will focus on load forecasting model enhancement equipped with advanced technologies, including Azure data platform, Machine Learning Studio, ITRON software, etc.
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Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Consults with Data Engineering, IT, the business, and other internal stakeholders to deploy analytical solutions that are aligned with the customer’s vision and specifications and consistent with modeling best practices and model risk management standards.
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Python, Django or Flask, ReST Endpoint Development, Micro-Service Model, Swagger, AWS, C2S or other cloud experience, Docker, Visual Studio Code or similar IDEs, JSON and/or XML serialization, Jira, Confluence, Git version control, Experience working in Agile environment.
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The Economist will perform complex economic and statistical analysis as an integral part of the scenario generation process, ensuring data quality and integrity, monitoring model performance, and building reports and presentations of model outputs.
$111,100 - $217,200 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Conduct thermal model development and analysis for various voltage batteries and electrical drive modules (EDM). Convert detailed models to Fast Running Model (FRM) or Real-Time (RT) formats.
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FanDuel is looking for a data science manager to lead the team developing and evolving our internal Marketing Mix Model. You will help manage the roadmap and evolve our current model to help deliver actionable insights driving business KPIs. You will manage a group of data scientists and analysts to continually evolve the various tools, models, and data visualizations, in order to drive better decision making in our marketing team.
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This primarily includes consulting with clients about model risk management practices and providing model validation services, primarily for credit risk and treasury management (ALM)/finance related models.
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Knowledge of risk ratings, risk rating /scorecard methodology, model governance, model development, CECL, DFAST, CCAR and capital allocation methodology would be a plus. Credit risk model types (e.g., CECL, PD/LGD, Roll Rate, Scorecards, Stress Testing, etc.
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Develop and maintain effective partnerships with participants / stakeholders within Ally's model risk management community. Provide thoughts for leadership to advance model risk management through presentations, workshops, demonstrations, and automation.
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However, a strong background in Model-Based Systems Engineering is what is required for this position, and training opportunities for those other areas will be made available to the candidate while at Dynetics.
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Experience delivering model result to business users and have recommendation implemented. Lead the Marketing Mix Model team to ensure models and outputs are evolving with our business. The premier gaming destination in the United States, FanDuel consists of a portfolio of leading brands across gaming, sports betting, daily fantasy sports, advance-deposit wagering, and TV/media.
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Other model types (e.g., Asset Liability Management, Pricing, Mortgage Servicing Rights, etc. Model Risk Senior Consultant. Direct experience performing model validations or model development, including concepts such as back testing, stress testing, sensitivity testing, and benchmarking.
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