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Ensure models developed are reliable, stable, and accurate using both quantitative (statistical) and qualitative techniques, such as sensitivity analysis, back-testing and benchmarking model performance using programming languages, such as SAS, R, and Python, and VBA. Provide insight regarding model performance and soundness of results.
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Bachelor's Degree in any field and successful completion of three semester hours of calculus and twenty-one semester hours in operations research, economics, math, chemistry, physics, or other sciences where the utilization of advanced math skills in geometry, trigonometry, statistics, probability, or quantitative analyses.
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The Data Scientist will contribute to the performance analysis of SoFi products using empirical measurements, develop quantitative and machine learning models to forecast losses and provide insights on the drivers for losses.
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Domain experience in one of the following areas: financial services, business banking, product analytics, marketing, developer ecosystem, or risk analytics. Domain expertise in one of the following areas: financial services, business banking, product analytics, marketing, developer ecosystem, or risk analytics.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Bachelor’s or Master’s in a quantitative field (Business, Finance, Mathematics, Economics, Engineering, or a related field)10 years of experience in originating, structuring, negotiating, and executing debt investments in the financial/renewable energy sectors.
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Develop and maintain relationships and understanding of FHLBanks including asset-liability management, credit, and investment products, funding constraints, hedging styles, and risk tolerance.
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Bachelor's degree or equivalent; advanced degree in related area (e.g. quantitative finance, economics, statistics, etc.) Credit risk modeling and stress testing experience a plus. Understand credit risk as well as experience analyzing portfolio characteristics, identifying risk drivers, and proposing risk mitigation solutions.
Part-timeRemoteExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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This role requires a strong understanding of quantitative demand planning, profit and loss management, risk mitigation strategies and expert knowledge of the vendors in this space. Experience assembling and implementing quantitative measurement systems for evaluating vendors.
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ASI is actively seeking a Program Management Consultant to support Federal Emergency Management Agency (FEMA) Risk Management Directorate (RMD). Experience supporting Federal client; experience supporting Department of Homeland Security (DHS) component a plusStrong analytical and quantitative skills, with the ability to interpret financial data and generate insights.
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Demonstrated knowledge of research methods and statistical theory and appropriateness of procedures, including quality control, trend analysis, categorical data analysis, and risk adjustment is essential.
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Risk quantification and quantitative background experience. Our enterprise risk management professionals advise state, local, federal and higher education clients on the enterprise risks that interfere with the organization's ability to meet mission goals.
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Perform loss forecast analysis and reporting; perform ongoing ad hoc model development and analysis for specific clients needing high level quantitative analysis of credit risk, product valuation, asset analysis, and the like.
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Monitor performance of quantitative models and support independent model validation efforts in accordance with the model risk management policy. Piper Companies is seeking a Jr. Data Scientist to join one of the nation’s largest premier credit unions based out of Mclean,VA. The Data Scientistwill implement quantitative models to analyze credit and prepayment risk, determine the allowance for loan losses, and support financial planning.
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Conceptual thinking skills must be complemented by a strong quantitative orientation, given that a large part of the business is based on rigorous analytic marketing & credit risk management.
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BHA provides and coordinates U.S. Government (USG) international humanitarian assistance to save lives, alleviate human suffering, and reduce the physical, social, and economic impact of rapid and slow-onset disasters by supporting at-risk populations to build stable foundations to withsta gy, based on evidence collected from quantitative and qualitative sources, and propose good-in-class organizational development solutions to achieve organizational development objectives.
$110,000 - $125,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
quantitative risk jobs in Mclean, VA
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