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Knowledge of quantitative and qualitative data collection techniques, methodologies, equipment, processes, and procedures · Experience with at least one data processing/statistical package or programming language (e.g., SPSS, SAS, Stata, R, Python) · Ability to multitask, pay attention to detail, and exhibit excellent customer service.
$64,000 - $78,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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At Regions, the Risk Quantitative Analyst is a member of a key strategic team that is responsible for a very wide range of quantitative initiatives that include stress testing and loss forecasting, economic capital, risk ratings, portfolio valuation, optimization, origination strategies, and other portfolio management analytics.
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Education: Preferred Masters degree from an accredited University in a Quantitative field of study such as Data Science, Math, Statistics, Engineering or Physics. Quantifies significance of data variances, applies an array of statistical methods ranging from traditional to newly- developing within the Big Data space.
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Finally, the selected candidate will be expected to have excellent communication and problem-solving skills (both written and oral), an ability to quickly learn new terminology and statistical methods and meet deadlines, and expert knowledge of a statistical programming language such as SAS, R, or STATA.
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5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL). 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or 2 years of work experience with a Master's degree.
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BASIC REQUIREMENTS: A Certificate as a Certified Public Accountant (CPA) or a bachelor's or higher degree in accounting that included at least 30 semester hours in accounting or 24 semester hours in accounting and an additional 6 semester hours in related subjects such as business law, economics, statistical/quantitative methods, computerized accounting or financial systems, financial management, or finance.
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BASIC REQUIREMENT : A Certificate as a Certified Public Accountant (CPA) or a bachelor's or higher degree in accounting that included at least 30 semester hours in accounting or 24 semester hours in accounting and an additional 6 semester hours in related subjects such as business law, economics, statistical/quantitative methods, computerized accounting or financial systems, financial management, or finance.
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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 background.
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Experience with statistical analysis, predictive modelling, simulation, machine learning, or artificial intelligence. Education: Bachelor or Master's degree in in Statistics, Mathematics, Operations Research, Computer Science, Information Systems, Engineering, Economics, Data Science, Data Analytics, or similar quantitative discipline.
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Bachelor's degree with a focus in financial engineering, computational finance, applied mathematics, statistical or equivalent quantitative discipline from an accredited college or university; Master's or higher degree preferred from an accredited college or university.
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2+ years of experience in model development, statistical work, data analytics or quantitative research or PhD. Knowledge of predictive modeling, statistical sampling, optimization, machine learning and artificial intelligence techniques.
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This role is a Senior Quantitative Finance Analyst within the model development team for Anti-Money Laundering (AML) detection models. Our statistical toolkit includes various numerical procedures, with a recent emphasis on enhancing custom, AML domain-specific performance testing and evaluation capabilities.
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A Certificate as a Certified Public Accountant (CPA) or a bachelor's or higher degree in accounting that included at least 30 semester hours in accounting or 24 semester hours in accounting and an additional 6 semester hours in related subjects such as business law, economics, statistical/quantitative methods, computerized accounting or financial systems, financial management, or finance.
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A Bachelor’s or Master’s degree in a quantitative field such as statistics, mathematics, econometrics, operations research, data science, computer science, engineering, marketing or social science methods.
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Experience with working in team environments where not all members are professionally trained in statistical and quantitative studies. Maintain responsibility for analysis design and statistical programming in SAS, Python, and R, code optimization and efficiency, quality control via appropriate application of statistical theory, modeling, including parametric and non-parametric for interpretation of results, and objective development for descriptive statistics to refine hypothesis.
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statistical quantitative jobs in Atlanta, GA
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