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Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. As a dedicated Lead Data Scientist, you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions to inform actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction.
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This group is responsible for executing Enterprise Risk Management (ERM) programs including Risk Identification, Risk Appetite & Limits, New Activities/Product Risk, ERM Risk Monitoring and framework execution.
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Requires four (4) years of experience with: traded credit management for products that generate Counterparty Credit Risk including Over-the-Counter (OTC) derivatives such as Rates, FX, Credit, Equities, and Commodities; Capital Markets, Market Risk, and Enterprise Risk Management; regulatory requirements for Counterparty Stress Testing; Statistical Modeling; databases and working with large datasets via SQL; coding in R or Python; and MS Excel and VBA.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Applicants with a background in areas such as applied micro, econometrics, credit risk, household finance, fixed income, real estate economics, financial institutions, banking supervision are preferred.
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Degree requirement: PhD in Computational Biology, Bioengineering, Applied Mathematics, Bioinformatics, Cheminformatics, or a related discipline with a multidisciplinary focus on computational science.
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The Interim Department Head leads a team of faculty responsible for undergraduate programs in Economics, Finance, General Business and Risk Management, as well as five graduate certificates in Applied Economics, Finance, Financial Analysis, Fintech and Quantitative Enterprise Risk Management.
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The Mathematics and Statistics Department at San Jose State University offers undergraduate and graduate degrees in pure and applied mathematics and statistics, including the National Science Foundation Noyce-supported undergraduate integrated and Spartan Accelerated Graduate Education programs in single subject credential in mathematics and education specialist credential that serve students with mild to moderate needs.
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Ph. D. (completed within the last 0-5 years) in applied mathematics, physics, computer science, mechanical engineering, aerospace engineering, or similar fields. Argonne’s Leadership Computing Facility (ALCF) and Mathematics and Computer Science Division (MCS) is looking for a Postdoctoral appointee working at the intersection of scientific machine learning SciML and large-scale simulation codes.
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You will provide a range of qualitative and quantitative consulting services in the areas of data science, AI, model development, model validation, model risk management, modeling technology, model governance / controls / documentation, and financial instrument valuation.
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Maintenance of the Third-Party Risk Management framework and related documentation and standards, tracking and reporting on third party key risk indicators, which includes the status of SME risk assessments, issues and action plans of third party engagements, liaising with the different SME teams and engagement owners throughout the lines of business, and training to standards and framework.
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Certification in risk management, audit, or business continuity management (Certified Business Continuity Professional (CBCP), Certification in Risk Management Assurance (CRMA), Certified Internal Auditor (CIA), Certified Information Systems Auditor (CISA), Certified in Risk and Information Systems Control (CRISC.
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The position will also ensure that an effective 2nd line risk management framework is in place including the periodic/annual evaluation of Treasury’s policies/procedures and risk management limits.
$292,492.41 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau.
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Minimum education and experience required: Bachelor's degree in Electronic Engineering, Computer Science, Computer Engineering, Computer Information Systems, Management Information Systems, Information Technology, Electrical Engineering, Mathematics, Statistics, Data Analytics, Data Engineering, or related field of study plus 5 years of experience in the job offered or as Lead Software Engineer, Tech Lead; IT Consultant; or related occupation.
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Serves as a leader and subject matter expert on interest rate risk management for Asset Liability Committee, Enterprise Risk Management, Treasury, and lines of business. Ten or more years of experience in asset/liability management, interest rate risk management in the financial services industry.
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applied mathematics economics risk management framework jobs Title: data scientist
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