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Responsibilities:
Apply quantitative methods to develop capabilities that meet line of business, risk management and regulatory requirements.
Maintain and continuously enhance capabilities over time to respond to the changing nature of portfolios, economic conditions and emerging risks.
Understand and execute activities that form the end-to-end model development and use life cycle.
Clearly document and effectively communicate quantitative methods as part of ongoing engagement with key stakeholders, including the lines of business, risk managers, model validation, technology.
Responsible for independently conducting quantitative analytics and modeling projects.
Responsible for developing new models, analytic processes or systems approaches.
Create documentation for all activities and work with Technology staff in design of any system to run models developed.
Utilizing Python, PySpark, and SQL to conduct data analysis, estimate model coefficients, and aggregate the model results to generate comprehensive model outputs.
Leveraging data analytics and visualization tools Alteryx, Tableau, R, and Jupyter Notebook to build easy access analytical capabilities and insightful reporting for the management.
Analyzing and evaluating large and complex economic and financial datasets with analytical tools of Python, SQL and R.
Performing quantitative modeling by utilizing advanced quantitative techniques and tools of statistical analysis, predictive modeling, linear regressions, and Machine Learning.
Utilizing Latex to produce technical reports of publication quality with academic rigor and comprehensive risk coverage to support internal reviews and assess with stakeholders.
Remote work may be permitted within a commutable distance from the worksite.
Required Skills & Experience:
Master's degree or equivalent in Finance, Statistic, Mathematics, or related: and
2 years of experience in the job offered or a related Quantitative occupation.
Must include 2 years of experience in each of the following:
Utilizing Python, PySpark, and SQL to conduct data analysis, estimate model coefficients, and aggregate the model results to generate comprehensive model outputs;
Leveraging data analytics and visualization tools Alteryx, Tableau, R, and Jupyter Notebook to build easy access analytical capabilities and insightful reporting for the management;
Analyzing and evaluating large and complex economic and financial datasets with analytical tools of Python, SQL and R;
Performing quantitative modeling by utilizing advanced quantitative techniques and tools of statistical analysis, predictive modeling, linear regressions, and Machine Learning; and,
Utilizing Latex to produce technical reports of publication quality with academic rigor and comprehensive risk coverage to support internal reviews and assess with stakeholders.
If interested apply online at or email your resume to and reference the job title of the role and requisition number.
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