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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.
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3+ years of ETL Development using tools such as Informatica, Python, R, SAS, Alteryx. Bachelor's Degree in Quantitative Finance, Statistics, Mathematics, Economics or a related quantitative field (Master's Degree preferred.
$132,000 - $198,000 a yearFull-timeExpandUpdated 3 days ago - UpvoteDownvoteShare Job
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Clearly documenting and effectively communicating quantitative methods as part of ongoing engagement with key stakeholders, including the lines of business, risk managers, model validation, technology Position Overview Responsible for independently conducting quantitative analytics and complex modeling projects.
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Experience with data analytics and visualisation tools (e.g., Alteryx, Tableau, MicroStrategy) 5 years professional experience in model development, statistical work, data analytics or quantitative research or PhD.
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Graduate degree in quantitative discipline (e.g. Mathematics, Economics, Engineering, Finance, Physics) This area has a unique appetite for a wide scope of model methodologies, from simple rules-based models to advanced machine learning and AI models which facilitates opportunities for both immediate, effective contribution on team priorities and personal development through exposure to advanced modeling techniques.
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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.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Hands-on experience with standard data analytics tools and technologies (SQL, R, Python, Tableau, Alteryx, Hadoop, Hive, Spark, Impala, Sqoop, RDBMS, Trifacta) Familiarity with data mining, statistical modeling, machine learning and other advanced analytics methods.
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5+ years of experience as a Credit Risk Analyst, Decision System Analyst, Business Rules Developer in Portfolio Management, Quantitative Modeling, Risk Management /Decision Analytics team in financial services institutions.
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Experience with analytical/data/ETL environment conversion, for example, switching analytical platform from SAS/SQL to Alteryx or R/Python is preferred. Leverage predictive and data mining tools including but not limited to Alteryx/SQL/SAS, Python, R to conduct statistical and non-statistical studies for business problem solving in HDFS portfolio management.
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The Finance Decision Optimization team is responsible for the development, delivery, and automation of quantitative modeling solutions for the Finance organization. Basic Python or similar programming experience and/or experience with analytic tools such as Alteryx.
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Direct our embedded analytics teams to address business questions and prepare analyses that help further modeling goals. 5+ years of experience in one or more of the following fields: software development, QA, requirements analysis, product/program/project management, or another quantitative field.
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The team is comprised of product and analytics professionals that partner across Chase’s business, software development, and modeling teams to execute the implementation of statistical and ML/AI models in Finance.
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Familiarity with marketing analytics, forecasting or a decision sciences function and experience with advanced quantitative methods is a strong plus (e.g. segmentation, predictive modeling.
$201,600 - $302,400 a yearFull-timeExpandUpdated 14 days ago
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