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With strong project portfolioMinimum 5 years of industry experience (2 years with PhD and 3 years with MS) in quantitative modeling of credit riskStrong quantitative/statistical skills in the field of predictive analytics with broad knowledge of regression analysis, time series analysis, Monte Carlo simulations, artificial intelligence, and data mining algorithmsExperience with modeling financial products and/or securitization, preferably mortgage-backed securities.
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Principal Quantitative Analyst - CMA Predictive Analytics page is loaded. Apply locations McLean, VA time type Full time posted on Posted Yesterday job requisition id R185773 Recruiting: VA - McLean, United States of America, McLean, VirginiaPrincipal Quantitative Analyst - CMA Predictive Analytics.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Bring your mix of intellectual curiosity, quantitative acumen, and customer-focus to identify novel sources of data across a range of fields, to improve the performance of predictive algorithms, and to encourage user adoption of high-end data analytics platforms in partnership with a highly qualified, highly motivated team.
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Undergraduate with 7 years of experience, master’s degree with 6 years of experience, or PhD in a related quantitative field with 2 years of experience, in a non-academic setting - Data Science/Statistics/Predictive analytics or similar.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Master’s degree in information systems, computer science, or a quantitative discipline such as mathematics, engineering, operations research, economics, or finance plus 3 years of experience in the job offered or 3 years of work experience in measurement and analysis, quantitative business problem solving, operations analysis, marketing analysis, simulation development and/or predictive analytics.
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Defines advanced analytics, M/L and AI project objectives, collaborates with the business for requirement, defines metrics and measures of effectiveness, and expected outcomes; identifies and/or develops innovative and effective approaches and methodologies; applies advanced operations research and data science techniques for quantitative analysis, statistical analysis, forecasting, predictive modeling, prescriptive analysis, and optimization; and validates analysis and outcomes.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Specialized experience for this position must include experience applying design and implementation of data science and analytical methods such as exploratory data analysis, descriptive analytics, and predictive analytics using machine learning.
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Responsible for constantly holding the picture of OLS and the IRS's drive for digital and cultural transformation to a customer-centric orientation with a data and analytics emphasis by improving the overall data and analytics environment while being pragmatic and agile and in synch with the needs of the business at all times.
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Participates as a Senior Data Scientist in the advanced analytics projects undertaken; defining, approving, coordinating, evaluating, and analyzing team performance with responsibility for resolving gaps, conflicts and the day-to-day performance of the team assigned; driving the team toward the desired outcomes of projects.
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Doctorate degree, or Master degree with 3 years of equivalent work experience, in quantitative finance, statistics, economics or a related quantitative field. Coursework or work experience applying predictive modeling techniques from finance, statistics, mathematics, data science, or computer programming to large data sets.
$114,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and data wrangling, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Master’s degree (or its equivalent) in statistics, mathematics, economics, computer science, data sciences, predictive modeling, or other quantitative disciplines and at least 4 years of relevant experience, preferred in AML/BSA, OFAC, or fraud modeling/analytics.
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Ability to think logically and use quantitative techniques to solve problems such as campaign analysis, optimization, data management, data operations and/or predictive modeling. SQL, R, Python, or other advanced analytics software packages.
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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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As Head of Marketing analytics function, you will spearhead Quince's effort in extracting insights from marketing data to inform strategic decisions. Knowledge of data mining and analytic methods such as Clustering / Cluster Analysis, Factor Analysis, Regression Models, Logistic Regression, Predictive Modeling, optimization models, etc.
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