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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Demonstrated industry experience in treasury & funding risk or OpRisk risk management fields, including liquidity, Market, Operational Risk or CCR including risk management, model validation, or model analytics.
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Keywords: Data Analysis, SQL, Tableau, dashboard, Data Analysis, Data Quality, Data exploration, data visualization, statistical and non-statistical modeling, predictive and prescriptive analytics, analytic programming, database management, master data management, data quality, ETL, storage, processing, cloud computing, healthcare electronic medical record systems, billing systems, imaging systems, ambulatory, acute, post-acute.
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Partner with other independent validation teams, e.g., Model Risk Management, Regulatory Reporting Quality Assurance (RRQA), to support a unified validation program end-to-end; Morgan Stanley’s Model Risk Management (MRM) department resides within Morgan Stanley’s Firm Risk Management Division.
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Hadoop)Creative problem solver who thrives when presented with a challengeExcellent pattern recognition and predictive modeling skillsExperience with programming languages such as Python, R.
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Predictive Analytics/Data Mining: (e.g., Python, SAS Enterprise Miner) Perform assessments of organizations' fraud detection models, including in alignment with the U.S. Office of Comptroller of Currency Supervisory Guidance on Model Risk Management and other regulatory requirements.
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The manger supports Bank responses to audit, model risk management and regulatory examinations and for all Credit Risk Stress Testing Activities and coordinates these activities with the Senior Director - Risk Analytics, the as well as the heads of Model Development, Model Implementation, and Capital Planning.
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End to end implementation experience in building analytical solutions using data visualization tools like TIBCO Spotfire, Power BI, Python, R etc. Collaborate with local business users to understand business processes, gather technical requirements, evaluate proof of concepts, design, develop and support analytical solutions using TIBCO Spotfire, Power BI, SQL, Python, R, JS,HTML etc.
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The Senior Risk analyst supports Bank responses to audit, model risk management and regulatory examinations and for all Credit Risk Stress Testing Activities and coordinates these activities with the Senior Director - Risk Analytics, the as well as the heads of Model Development, Model Implementation, and Capital Planning.
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Advanced proficiency in programming languages and familiarity with data querying such as Python, R, SQL or other programming languages to extract data, manipulate data, develop and implement new models and perform advanced analytics is required.
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Execution of ongoing monitoring results in alignment with internal and supervisory market risk management and model risk management expectations. Description Summary:The ETAR Analytics Manager, part of the corporate Enterprise Trading Analytics and Reporting team, drives development as a subject matter expert in all aspects of market risk and counterparty risk measurement, model development, in-depth analysis, internal and regulatory risk reporting, stress testing, and model ongoing monitoring in a strong team-oriented working environment.
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The Fraud Model Management Senior Data Scientist will work with senior managers and leads to implement first-line model management activities on a portfolio of fraud and financial crimes models, while closely partnering with Bank Financial Crimes leadership, Enterprise Model Risk Management (MRM), Legal, Compliance, Technology, Model Users, and other partners.
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Familiarity with data security principles and practices· Experience with data visualization tools (e.g., Tableau, Power BI) and statistical analysis tools (e.g., R, Python.
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The “GIA and VA Asset Modeling & Development” team of Quant R&D has primary responsibilities for modeling all of the GIA’s assets, ensuring and maintaining critical Portfolio Management dependent operations for the GIA and Variable Annuity programs, and generating ALM pricing and risk analytics for all of Quantitative Portfolio Management’s hedging programs.
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Familiarity with using Geospatial softwares such as QGIS/ArcGIS. Good understanding of using VBA, R, Python. The role brings an exciting opportunity to work with Product management, Underwriting, Actuarial and Corporate Cat departments to define strategy and guidelines in Cat exposed regions through developing Chubb’s own view of Cat Risk. Major Duties and Responsibilities: Perform quarterly/monthly roll-up of the personal lines exposure, analyzing and monitoring catastrophe risk via third part catastrophe models, internal tools and software.
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python r predictive analytics model risk management jobs Title: data analyst
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