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Quantitative Analyst
Banco Santander
Boston, MA, United States
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Description
Risk is present in all of Santander’s activities and effective Risk Management is a critical component of the Bank’s success. Through application of the Bank’s Risk Framework and the continuous identification and assessment of risk, Santander seeks to ensure that all of our businesses operate inside of clearly established limits, are able to proactively quantify exposures, and take corrective action when required. As a member of the Risk Management division, you’ll be part of a diverse team of talented professionals who interact with senior risk team personnel, business managers and other Bank disciplines in order to understand business operations and dynamics, and analyze, monitor, and manage related risks.
• Responsible for advanced portfolio risk analysis and developing the necessary forecasts and financial models to allow the senior leadership of the Bank to manage the Banks solvency and capital position
• Must be able to independently manage complicated, multi-step processes with a zero margin for error
• Proactively identifies areas for improvement and designs solutions to highly complex, data intensive problems.
• Works directly with Internal Audit, SOX Compliance, and Internal Model validation to improve models and address any observed issues in a time sensitive manner
• Analyzes portfolio credit performance across portfolio segments to develop an understanding of the key drivers of portfolio performance
• Completes other analytical tasks as directed
• Helps develop the Banks economic capital measurement methodology and perform the analysis required for incorporation of the Banks assets into the Groups model.
• Help build the Banks Basel II framework
• Builds and enhances the Banks credit performance forecasting models and develop forecasts as needed for the annual Budgeting process and other Management needs
• Analyzes variances and reports on performance at the segment level
• Supports the Banks ALLL process, including model development, execution, analysis, and documentation
• Provides recommendations to Senior Management for provision and reserve levels monthly and run official ALLL estimation quarterly
Qualifications:
• Bachelors Degree in a quantitative discipline (statistics, mathematics, economics, etc.)
• 5-7 years of experience in statistical modeling and data analysis; prior banking or financial services experience preferred
• Familiarity with statistical software
• Ability to manage larger, long term projects efficiently and independently
• Familiarity with all types of credit products, their structure and behavior in various economic environments
• Well versed in economic fundamentals and how to apply those within the construct of the job
• Knowledge of advanced credit risk concepts important, including probability of default (PD), loss given default (LGD), exposure at default (EAD), vintage and lifecycle effects, segmentation strategies, etc
• Solid understanding of statistics
• Previous experience building models within Excel
• Experience building credit risk forecasting models such as roll rate, vintage, and probabilistic models highly desirable
• Strong analytical math and problems solving skills
• Strong knowledge of Microsoft Access, Excel, and Powerpoint, particularly knowledge of Visual Basic and usage of macros within Excel
• Prior experience building financial models within Excel very important
• Working knowledge of data querying languages and software, such as SAS, SQL, ODBC, OLEDB desired