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Jacob Ryan

Majored in Quantitative Economics And Computer Science
Tufts University, Class of 2019
From Briarcliff Manor, NY
I recently graduated Tufts University with degrees in quantitative economics (B.A.) and computer science (B.S.). I work at Cornerstone Research as a full-time analyst. I enjoy using my economics and programming experience to identify and solve real-world problems pertaining to financial, consumer, and market data.
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Tufts University

Jacob Ryan recognized for academic excellence at Tufts University

Jacob Ryan was named to the dean's list at Tufts University for the Spring 2019 semester. Dean's list honors at Tufts University require a semester grade point average of 3.4 or greater.

June, 04 2019 - Verified by Tufts University
Jacob Ryan graduated from Tufts University

Jacob Ryan of Briarcliff Manor, NY graduated from Tufts University on May 19, 2019 with a degree in Quantitative Economics (BA), Summa Cum Laude.

June, 03 2019 - Verified by Tufts University
Jacob Ryan recognized for academic excellence at Tufts University

Jacob Ryan was named to the dean's list at Tufts University for the Fall 2018 semester. Dean's list honors at Tufts University require a semester grade point average of 3.4 or greater.

February, 11 2019 - Verified by Tufts University
Jacob Ryan made the Spring 2018 dean's list at Tufts University

Jacob Ryan was recognized for earning a spot on the Spring 2018 dean's list at Tufts University.

June, 13 2018 - Verified by Tufts University
Jacob Ryan made the Fall 2017 dean's list at Tufts University

Jacob Ryan was recognized for earning a spot on the Fall 2017 dean's list at Tufts University.

June, 13 2018 - Verified by Tufts University
Jacob Ryan earns dean's list honors at Tufts University

Tufts University recently announced the dean's list for the Spring 2016 semester. Among these students is Jacob Ryan of Briarcliff Manor, NY, class of 2019 Dean's list honors at Tufts University re...

July, 19 2016 - Verified by Tufts University
Jacob Ryan earns dean's list honors for Fall 2015

Tufts University recently announced the dean's list for undergraduate students enrolled for the Fall 2015 semester. Among these students is Jacob Ryan of Briarcliff Manor, NY, class of 2019 Dean'...

January, 29 2016 - Verified by Tufts University
Jacob Ryan enrolls at Tufts University

This fall more than 1,300 undergraduate students from around the world began their first year at Tufts University, located in Medford/Somerville, Mass. They include Jacob Ryan, of Briarcliff Manor...

December, 14 2015 - Verified by Tufts University
Jacob Ryan was recognized for graduating
Summa Cum Laude
Spring 2019 - Added by Jacob
Jacob Ryan was recognized for graduating
Highest Honors in Thesis
Spring 2019 - Added by Jacob
Jacob Ryan was recognized for earning a spot on the Dean's List
Fall 2015 - Spring 2019 - Added by Jacob
Enigma (Tufts Independent Data Journal)
Lead tutorials on data analysis, management, and visualization primarily in Python to members of the club. Analyzing impact of new Tufts tiered-housing system on the student body. Analyzed the impact of the 2016 presidential candidates tweets on the valuations of news companies.
Fall 2017 - Spring 2019 - Tufts University
Added by Jacob
Tufts Financial Group
Researched and pitched investments in technology, media, and telecommunications; chose portfolio weights in portfolio strategy; and researched the effect of the Syrian refugee crisis on the Euro in fixed-income.
Fall 2015 - Fall 2016 - Tufts University
Added by Jacob
Tufts Economics Society
Created the Forum for Learning in Undergraduate Tufts Economics (FLUTE) to answer questions about economics coursework and to build the economics community at Tufts. Moderated the econometrics and programming threads on FLUTE. Organized economics events and provided course advising. Performed research in the Efficient Market Hypothesis group.
Fall 2015 - Spring 2019 - Tufts University
Added by Jacob
Computer Science Exchange
Fall 2015 - Spring 2019 - Tufts University
Added by Jacob
Tufts Robotics Club
Fall 2015 - Spring 2016 - Tufts University
Added by Jacob
Analyst at Cornerstone Research

Performed economic and financial analysis for commercial litigation and regulatory proceedings. Worked with testifying experts, including prominent faculty and industry practitioners.

August 2019 - Present
Summer Analyst at Cornerstone Research

Performed economic and financial analysis for commercial litigation and regulatory proceedings. Worked with testifying experts, including prominent faculty and industry practitioners, to calculate damages, review depositions, research the case, and visualize financial data.

June 2018 - August 2018
Quantitative Analysis Unit Student Honors Intern at U.S. Securities and Exchange Commission

I interned with the Quantitative Analysis Unit (QAU) within the U.S. Securities and Exchange Commission (SEC) in New York City.

• I wrote a data input-output and cleaning program for trading blotters submitted for Exchange Traded Funds (ETF) to streamline the SEC’s process of formatting and aggregating these data and help identify non-compliance with regulation or even fraud.
• ETF-trading analysis had previously taken SEC analysts many hours of work and upwards of 1,000 lines of code per exam just to read in the irregularly formatted data. Using my program, ETFs can now be read in and analyzed in a fraction of that time and typically without the need for additional code.
• My supervisors gave me freedom to design the program, which I used to create an efficient and well documented program.
• I took a leadership role in directing the project and assigning tasks to the other intern.

I learned a lot interning with the QAU.

• In the week before the internship, I taught myself Python, which I used daily at the QAU.
• During the first week of the internship, I taught myself Q and KDB+, which I used to read through previously written SEC code for ETF-trading analysis.
• While reading through SEC code and creating my own program, I learned a lot about trading, creation, and redemption of ETFs.
• I participated in weekly lectures on machine learning given by one of my supervisors, a Ph.D. in statistics.
• I gained experience managing a GitLab repository with at least one other active user.

May 2017 - July 2017
Intern at Cornerstone Research
Researched the application of machine learning in litigation as part of a team.
May 2015 - June 2015
Counselor at North East Special Recreation
Worked with youths with intellectual disabilities, ranging from 8 to 21 years old during the summer.
June 2013 - August 2016
The Sensitivity of Firms' Proprietary Program Trading to Financial News Article Sentiment about the Volcker Rule
This thesis examines how proprietary trading firms' uncertainty about the development of the Volcker Rule influenced their program trading. I construct measures of regulatory risk associated with the Rule from the sentiment of reputable financial news articles. I provide evidence that these firms rely significantly on recent articles to make their trading decisions, but that they quickly forget older articles. I use previous research to split my sample into "affected entities" who are directly affected by the Rule (i.e., banks and their subsidiaries) and "unaffected entities" who may be indirectly affected by the Rule (i.e., non-bank proprietary traders). I provide evidence that (1) affected entities were sensitive to articles implying that the Rule would be strong during the period leading up to Congress' ratification of the Volcker Rule, (2) affected entities were sensitive to articles implying that the Rule would be weak or delayed during the periods that regulators implemented and firms complied with the Rule, and (3) unaffected entities were sensitive to any information about the timing (i.e., progress and delay) of the Rule during the period of regulatory implementation. Collectively, this evidence indicates that uncertainty about the Rule had consequential and distinct effects on both bank and non-bank entities throughout its ratification, implementation, and compliance periods.
May 2019 - Research Projects
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