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Job expectations include supporting business units and acting as a subject matter expert on specified quantitative modeling techniques, as well as serving as the first or second line of defense overseeing model performance, model risk, and model governance on critical model portfolios.
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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 Opportunity The Senior Quantitative Model Developer will collaborate in the development of complex quantitative models and analytical tools used for credit and interest rate risk management, cash flow generation, and scenario analysis.
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Business and Finance: Finance, Accounting, Business Analytics, Quantitative Finance, Economics, Econometrics. Our Analytics professionals make extensive use of data, statistical and quantitative analysis, rules-based methods, and explanatory and predictive modeling to bring insights to client issues in the financial, regulatory, forensic and transaction domains.
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6+ years of experience in equity and interest rate derivative pricing and sensitivity calculation, modeling and quantitative finance. How you’ll contribute: As a Senior Quantitative Analyst, you’ll be responsible for multiple aspects of variable, structured and fixed annuity asset and liability management (ALM), including hedging, reporting, modeling, and sensitivity analysis.
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Our client is seeking a Market Risk Manager in Charlotte, NC. The Market Risk Manager is responsible for market risk assessment, monitoring, modeling, and analysis functions for the companies portfolio.
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Construction Management, Materials Science, Materials Science and Engineering, Project Engineering & Management, Risk Management, Civil Engineering, Mechanical Engineering, Electrical Engineering, Industrial Engineering.
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Knowledge of major regulatory areas of focuses including Consumer Compliance Regulations, FFIEC Guidance, Stress Testing, Model Risk Management, Capital Planning and Forecasting, Enterprise Risk Management, and Operational Risk Management, Data Governance, etc.
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Global Financial Crimes Automated Detection & Monitoring team seeks a Quantitative Scenario Analyst - Anti-Money Laundering (AML) to conduct independent testing and review of complex models used to monitor and mitigate money laundering risk.
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The Risk Data Scientist will use analytical skills to identify and prevent fraud & credit risks. You will own the key metrics, develop data pipelines, ETL. You will also make a direct impact on Square's priorities and Banking initiatives (primarily SQ’s debit card) by building risk detection strategies, developing & tracking key success metrics, influencing partners through data and enabling growth of the business.
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Analyzing large, complex multidimensional datasets with data querying languages (SQL), BI tools (MicroStrategy, PowerBI, Looker, Tableau), programming languages (Python, Java, Scala), and statistical/mathematical software (R, Weka, SAS, Matlab.
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Financial Crimes, including AML Risk Assessment, KYC (CDD+EDD), transaction monitoring and sanctions screening. Our practice specialties include operational risk management, internal and external compliance, Financial Crimes prevention, Governance Risk and Compliance (GRC) capabilities, and digital fraud solutions.
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They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions.
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OCC Documents: Large Bank Supervision Handbook; OCC Safety and Soundness Handbooks - Internal Controls, Corporate & Risk Governance, Retail Lending; and key OCC bulletins - Model Risk Governance, Model Risk Management, New Products and Services Risk Management, Third Party Risk Management, Technology Risk Management, Stress Testing, and Operational Risk.
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The position requires the person to:Delivery of high quality multi-line risk evaluations and loss analysis of exposures and controls related to Workers’ Compensation, Property, Inland Marine, Umbrella, Builders’ Risk, Products/Completed Operations, Commercial Auto, Garage Liability/Dealer’s Blanket and General Liability.
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