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MATLAB, VBA, MSC/NASTRAN, MSC/PATRAN, MSC/FLIGHTLOADS, CATIA, and Python. Demonstrated knowledge of FEA and doublet-lattice aero modeling techniques, particularly in MSC/NASTRAN, is desirable.
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Hands-on experience with statistical and data mining software packages (e.g. Python - SciPy, NumPy, Pandas, SciKit-Learn, R, Alteryx, SPSS, SAS, etc.) Minimum of seven years of experience of designing and building data science applications in a real-world business context, including classification, prediction, clustering and segmentation, market basket analysis, text mining and topic modeling, recommendation engines and many others.
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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.
$78,000 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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The ideal Quantitative Developer will have proven experience in financial data modeling, exposure to macro products and strategies, and strong hands-on experience within in Python programming and analytical skills.
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Expertise in SQL, Python/R, and a data visualization tool, Looker a plus. Dashboarding/reporting & predictive modeling; ensure quality data, highlight & deepen the understanding of the business.
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5 plus years of hands-on experience with Python and/or R programming and statistical packages, and ML libraries such as scikit-learn, TensorFlow, PyTorch, etc. 12 plus years of experience in statistical modeling, data mining, analytics techniques, machine learning software development and reporting.
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Experience in data design, data modeling, data mapping, data interrogation, data quality, and master data management is desired. Experience in handling large data sets by writing python programs using Apache spark.
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Proficiency in financial modeling, statistical analysis, and relevant software tools (e.g., Excel, SAS, R, Python). Minimum of 7-10 years of experience in credit risk management, financial modeling, or a related field.
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2-3 years experience in using Power Automate, Power BI, Python, Automation Anywhere, SQL, GIT, Jira. This individual will work closely with a broad group of matrix partners, including business operations, IT, Risk, Finance/Pricing, Analytical Modeling, and Product Management, etc.
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10+ years of experience in Data Strategy, Data Architecture & Engineering Patterns, Data Science & ML Methodologies, and/or Analytics/BI Program Management (SQL, Python, R, Java, C#) Familiarity with some or all the following disciplines: AI, Machine Learning, Statistical Analysis, Predictive Modeling, Bayes Theorem.
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Software Proficiency: familiarity with various modeling and simulation software, such as OpenFOAM, StarCCM+, ANSYS, or others. FORTRAN, MATLAB, Python) and Linux-based systems is preferred.
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At least 1 - 2 years' of experience in quantitative analytics and Python data modeling. Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms.
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5+ years of experience in data science or a related field Strong knowledge of statistical modeling and machine learning techniques, such as regression analysis, clustering, and neural networks Experience with data analysis tools, such as Python, R, or SQL, as well as experience using Azure data science technologies, such as Azure Data Factory, Azure Data bricks, and Azure Synapse Analytics.
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The Azure architect be the primary data architect for our Azure Cloud Data Warehouse and Analytics environment with a strong focus on optimizing the Azure data landscape as well as modeling the data and creating ETL pipelines for integrating the data into the Enterprise Data Warehouse.
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Demonstrated proficiency of at least one computer modeling & simulation environment (Python or MATLAB/Simulink preferred). Provide virtual modeling subject matter expertise for the Company’s projects related to communication system modeling and simulation, particularly in the development and application of digital twins for maritime applications including, but not limited to, satellite, radio, and acoustic communication systems.
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modeling python jobs in Metairie, LA
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