As part of the Market Abuse Unit, I performed data analysis with Python to assist with cases brought to the SEC, built a convolutional neural network to detect spoofing and layering (a form of illegal stock market manipulation), created an updateable price database of the S&P 500, and learned more about the effects of regulation on not only professional traders but also a typical investor.
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My main responsibilities were to compile information and data regarding the United Kingdom’s departure from the European Union (Brexit), steps for expediting a successful Brexit transition for small businesses, information championing the United Kingdom’s financial contributions to the EU budget, additional material on member states financial contributions, and the upcoming May 2019 European Parliament elections.
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My assignments quickly evolved to include composing legislative summaries, researching environmental bill proposals, and tracking media coverage on policy. All this work goes toward the first steps taken to make significant economic changes in the United States.
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During my time in the Office of the Clerk, I helped pro se petitioners with their petitioning process and prepared packets with instructions on how to file a petition with the Court.
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Sonstituent correspondence was my main responsibility, which included answering phone calls for the office, providing assistance to the callers, and organizing mail sent to the office. In fact, ensuring effective correspondence between constituents and representatives provided me with a unique perspective into what it means to be a public servant.
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