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Own Model Build, monitoring, and maintenance of FIS Financial Intelligence products. Masters or PhD in Computer Science, Statistics, Decision Sciences, Applied Mathematics, Economics or the equivalent combination of education, training, and work experience.
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Job Description :Medicare Risk Adjustment Advanced Analytic SeniorLocation: This position will work a hybrid model (remote and office). Minimum Requirements:Requires MS, MA, or PhD with concentration in a quantitative discipline such as statistics, computer science, cognitive science, economics, or operations research, a minimum of 3 years direct experience programming large, multi-source datasets with SAS required, and a minimum of 3 years in health care setting; or any combination of education and experience which would provide an equivalent backgroundPreferred Skills, Capabilities, and Experiences:PhD preferred.
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Preferred Location: Hanover, MD.The Medicare Risk Adjustment Advanced Analytic Senior Is responsible for creating statistical models to predict, classify, quantify, and/or forecast business metrics. Medicare Advantage and Medicaid (Dual Members) risk adjustment experience preferred.
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Intermediate to Advanced expertise with software such as SAS Stat, SAS ETS, SAS Enterprise Miner or equivalents strongly preferred. Experience with ACA Risk adjustment, Star, and Medicaid quality incentives preferred.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Requirements: Requires a Master’s degree (or foreign equivalent), in Mathematics, Statistics, Business Analytics or related field and 3 years of experience as a Senior Specialist, Credit Risk Analyst, Business Analyst, Data Analyst or related position involving credit risk analysis for the financial services industry.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters.
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Master’s degree or its equivalent in Computational Finance, Financial Mathematics, Financial Engineering, Mathematics, Statistics, or related qualitative field; plus 2 years as a Model Risk Analyst or any occupation/title providing experience in a model risk field in financial markets and leading project management in large financial services company.
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At this time, we are seeking 2 Civil (Coastal) Engineering Interns to join our program in Vicksburg, MS and Jackson, MS as a part of the collaborative Numerical Model Modernization Project between Woolpert, USACE ERDC Coastal and Hydraulics Lab and Jackson State University.
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Team is on a journey to modernize the way Capital One identifies potential money laundering, terrorist financing, and human trafficking through the use of machine learning, statistics, and other advanced analytic techniques.
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The Head of US AML Modeling and Advanced Analytics will lead and develop a team to identify potential money laundering, terrorist financing, and human trafficking through the use of advanced analytic techniques, statistics, and machine learning models.
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Bachelor’s Degree in Finance, Economics, or other quantitative disciplines such as Statistics, Quantitative Finance, Applied Economics, or Econometrics, and 5-7 years of work experience; Masters Degree preferred with 3-5 years of experience.
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PhD in Bioinformatics, Biostatistics, Computer Science, Computational Biology, Genetics, Mathematics, Physics, Statistics or other related discipline. The candidate should have a solid foundation in applied statistics, deep generative models, computational biology, molecular biology paired with a strong work ethic and the ability to work independently and in highly matrixed teams.
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Master’s degree in statistics, economics, econometrics, applied mathematics, quantitative finance or related field is preferred. Partner with various teams including lines of business, data governance, PPNR governance, credit risk, model validation, capital risk oversight, audit, and finance teams to submit and validate data and analyze results.
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We are seeking a motivated Senior Analyst focusing on AML/BSA, and Fraud Model Validation to join our team. Execute best-practice AML/BSA model validation activities to ensure models are conceptually sound relative to their intended use and performing appropriately.
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