Responsibilities
Enable analysis, model, and optimize through producing information products.
Create sophisticated, value-added analytic systems that support revenue generation, risk management, operational efficiency, regulatory compliance, portfolio management, and research.
Adopt enterprise information products through clearly communicating how enterprise information products answer material banking questions leading to decisions and actions.
Clearly document the use of various Optical Character Recognition models (OCR).
Perform back testing, benchmarking, and scenario analysis for multiple models.
Conduct ongoing model performance monitoring for models used on various operations and technology teams.
Test Al models for 16 risk dimensions including fairness, ethics, algorithmic bias, algorithmic transparency, information security, and privacy.
Coordinate with Model Risk Management on upcoming model risk reviews.
Build, test and document quantitative models consistent with model development procedures and model risk management expectations.
Apply statistical skills of distributions, statistical testing, and regression with machine learning techniques and algorithms including ensemble models.
Apply knowledge of Machine Learning, Natural Language Processing, advanced machine learning and Statistical Modeling, Quantitative Analysis, Forecasting, and Data Visualization to facilitate the automation of testing.
Utilize data analytics tools of Tableau and Alteryx to conduct thorough analysis of large financial datasets to extract actionable insights and identify trends.
Remote work may be permitted within a commutable distance from the worksite.
Required Skills & Experience
Bachelor's degree or equivalent in Finance, Statistics, Mathematics, Economics, or related: and
5 years of progressively responsible experience in the job offered or a related Quantitative occupation.
Must include 5 years of experience in each of the following:
Building, testing and documenting quantitative models consistent with model development procedures and model risk management expectations;
Applying statistical skills of distributions, statistical testing, and regression with machine learning techniques and algorithms including ensemble models;
Applying knowledge of Machine Learning, Natural Language Processing, advanced machine learning and Statistical Modeling, Quantitative Analysis, Forecasting, and Data Visualization to facilitate the automation of testing; and,
Utilizing data analytics tools of Tableau and Alteryx to conduct thorough analysis of large financial datasets to extract actionable insights and identify trends.
If interested apply online ator email your resume toand reference the job title of the role and requisition number.
1st shift (United States of America)משרות נוספות שיכולות לעניין אותך