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Look for ways to improve processes to maximize efficiency and remove redundancyRequirements:Min bachelor’s degree with a preference in Economics, Statistics, Mathematics, Business & Management/MBA, Computer ScienceSix (6) or more years of experience in a combination of the following areas: Consulting, Risk and Compliance, Internal Audit, Research, Corporate Strategy, Data Science etc.
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Economics, Statistics, Applied Mathematics, Mathematics, Financial Mathematics, Data Processing/Analytics/Science. Managing engagements including preparing concise, accurate documents and balancing project economics management with the occurrence of unanticipated issues; and.
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Utilizing intelligent robotic process automation tools (Automation Anywhere, Pega, UiPath, etc.) As a Senior Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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From an accredited college or university with a major in finance, business administration, economics, accounting, engineering, mathematics, banking and credit, law, statistics, or another field related to the position such as agriculture, agricultural economics, farm, livestock, farm management, ranch management, rural sociology, dairy science, domestic agricultural development or agronomy; OR.
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BA/BS Degree in Economics, Statistics, Econometrics, Mathematics, Data Science, Computer Science, or equivalent/related degree is preferred. Fluency capturing and translating data and insights via visualization tools (e.g., Tableau, Looker, MicroStrategy.
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OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND. Proficiency with data tools and technologies such as Python, R, SQL, and data visualization tools like Tableau or Power BI.
$294,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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CT State CC-Campuses Courses include the following: Accounting Art Business Communication Economics English Environmental Science First Year Experience History Human Services Mathematics Oceanography Philosophy Political Science Psychology Sociology These positions are on continuous recruitment, and are filled on an as-needed basis, depending on course offerings, enrollment and specific department needs.
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Master's Degree or PhD in Statistics, Economics, Mathematics, Financial Engineering, Finance, Operations Research, Engineering, Physics or related discipline. - Apply deep expertise in mathematics, statistical, and machine learning methods to generate critical insights and decision frameworks for our business and customers.
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Accounting, Finance, Management Information Systems, Management Information Systems & Accounting, Computer and Information Science, Computer and Information Science & Accounting, Mathematical Statistics, Statistics, Mathematics, Economics, Economics and Finance, Economics and Finance & Technology, Business Administration/Management, Engineering.
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C#, SQL, Tableau, Alteryx, and Excel Macros / VBA /JS; Visualizing and communicating analytical results, using technologies such as Tableau, Spotfire, Power BI and QlikView. Possessing experience with one or more of the following key programming and data analytics tools: Python, R, SAS.
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These projects should be targeted to enable multiple business processes and/or source data systems to drive efficiencies and reduce redundancies supporting one or more of the following functions: internal audit, compliance, enterprise risk management, operational risk management, technology risk management, third party risk management, cyber security, business resiliency, incident management, SOX (and/or other compliance frameworks), or other business programs/initiatives.
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As an Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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Who You AreYou have a BS, MS, or PhD in relevant field: Data Science; Computer Science; Applied Mathematics, Statistics, Economics, Engineering or related field, with a focus on Artificial Intelligence (AI) or Machine Learning (ML.
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Experience with implementing GRC technology such as (but not limited to) RSA Archer, MetricStream, or ServiceNow; and, The Integrated Risk Management and Governance Risk and Compliance(IRM GRC) team helps clients to think about their integrated GRC strategy, process improvement, governance models, tech implementation, how to drive change in the organization.
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You will be part of a growing team driving strategic programs, data analytics, innovation, deals, cyber resiliency, response, and technical implementation activities. Experience in creating, drafting, and refining core business foundational elements such as process, risk, and control frameworks related to any/all of the listed GRC functions above through stakeholder interviews, knowledge of industry leading practices and frameworks, facilitated workshops, and analysis of client process documentation.
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