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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.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Demonstrating exposure to modeling methodologies in at least one of the following areas: credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics areas; and.
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5+ years of hands-on experience with analyzing, interpreting, and presenting data using industry prevalent software i.e. Tableau, Data Prep, Alteryx. The candidate will be instrumental in bringing a broad set of skills spanning data (integration, aggregation, standardization), analytics (descriptive, prescriptive and predictive modeling) and the discovery, interpretation and communication of meaningful patterns in data.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep. Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Business Intelligence tools: Microsoft tools (SQL Server Management Studio, SSRS, SSAS, Power Pivot, Power Query, PowerBI), Alteryx. Data Management and Quality: data mapping, data profiling, metadata repository, relational data modeling, master data management.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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C#, SQL, Tableau, Alteryx, and Excel Macros / VBA /JS; Displaying understanding of advanced AI/machine learning, statistical/econometric modeling techniques, and financial engineering methods to develop and/or validate models (Masters-level coursework in at least one of these subject areas is preferred.
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Financial modeling including full financial statement output (3 statement modeling); investment analysis (DCF, IRR, NPV); understanding of GAAP; advanced Excel and PowerPoint; standard cost accounting a plus; Power BI, Planful, Oracle, SQL data warehouse & Alteryx experience preferred.
$85,000 - $95,000 a yearExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Displaying knowledge or familiarity with industry financial instrument pricing tools and data sources e.g. Bloomberg, Refinitiv etc. Economics, Statistics, Applied Mathematics, Mathematics, Financial Mathematics, Data Processing/Analytics/Science.
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Data Modeling: ER/Studio Data Architect, 3NF and dimensional modeling. Apply the appropriate level of modeling theory, pattern recognition, and abstractions to architect and design a pragmatic solution that functionally meets the business and technical requirements.
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Possessing experience with one or more of the following key programming and data analytics tools: Python, R, SAS; A career in our Advisory Acceleration Centre is the natural extension of PwC’s leading class global delivery capabilities.
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Experience with data visualization tools such as Power BI, Tableau, Alteryx, etc. Experience with data modeling techniques and tools such as ERD, UML, Star Schema, Snowflake Schema, etc.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Strong operational and modeling skills with the ability to implement those using commonly used tools – Alteryx, Python, and Power BI. Manage the confirmations and settlement process and reporting requirements through close coordination with the power trading desk, Middle Office, and Energy Data Management.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Software Knowledge: Must be highly proficient in Microsoft Office, especially Excel, GIS mapping, ESRI, Alteryx ·Must have knowledge of extracting and manipulating data from a database. ·Provide Real Estate team support with market research, financial modeling and analysis, post-audit analysis of actual versus planned performance of new stores.
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Analytic Capabilities: Ability to think logically and use quantitative techniques to solve problems such as campaign analysis, optimization, data management, data operations and/or predictive modeling.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Demonstrable proficiency and experience with visualization and data preparation tools (Python, R, SQL, Alteryx, Tableau, and PowerBI) Use predictive modeling, machine learning, and other advanced analysis to increase and optimize revenue generation, prospect targeting, and other business outcomes.
ExpandApply NowActive JobUpdated 6 days ago
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