As an incoming Master’s student in Applied Statistics at the University of Michigan, I am at the intersection of statistical theory and practical application in quantitative finance. My academic interests lie in time series analysis, stochastic processes, and machine learning, where I aim to uncover insights into complex financial phenomena through data-driven approaches.With a strong foundation in statistical modeling and a growing interest in machine learning, my research focuses on developing innovative techniques for stochastic volatility modeling and risk forecasting. I’m passionate about leveraging advanced statistical methodologies to contribute to predictive analytics and financial modeling, and I am eager to apply my skills to real-world challenges in the financial markets.In pursuit of my long-term goal of a Ph.D., I aim to further deepen my expertise in these areas while continuing to make significant contributions to the advancement of quantitative finance. I am keen to connect with like-minded professionals and academics to collaborate on cutting-edge projects and exchange ideas on how statistics and technology can drive innovations in finance.
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Edtech Specialist At Applied Technologies For Learning Arts And ScienceUniversity Of Illinois Urbana-Champaign Jan 2023 - Dec 2023Champaign, Illinois, United States• Developed a comprehensive curriculum for first-generation college students, focused on college preparation and mathematics education, helping ease their transition to university-level coursework and improving their preparedness for academic, social, and career challenges.• Collaborated with a team member to enhance the curriculum based on student and client feedback, integrating college-level math resources, scholarship information, and additional content such as math study strategies, tips on securing affordable housing, and guidance on choosing a major.• Led the restructuring of the user interface of the course’s Moodle page by organizing categories using the MECE (Mutually Exclusive, Collectively Exhaustive) principle, streamlining navigation for students. Applied a minimalist design with visual labels, influenced by organizational skills developed during military service.• Built trust with students through personalized discussions about their career goals (e.g., nursing, business, engineering), fostering honest feedback. This led to a more tailored curriculum and meaningful improvements in student engagement and satisfaction. -
Consulting Intern / Group LeaderGlobal Esg Foundation Jun 2023 - Aug 2023New York, United States• Led a team of interns by coordinating meetings, adjusting the project proposal, and setting weekly goals with supervisors to ensure project progress, focusing on Environmental, Social, and Governance (ESG) practices, industry research, data sourcing, and presentation preparation. This structured approach improved team productivity and ensured timely project completion.• Conducted regression analysis to quantify the correlation between ESG practices and customer satisfaction, specifically focused on climate change concerns and corporate social responsibility.• Sourced and pre-processed data from the American Consumer Satisfaction Index (ACSI) and ESG reports from companies, converting qualitative ESG metrics (from reports, social media, and media coverage) into a standardized 1-to-5 scale for statistical modeling.• Developed and applied regression models to provide insights into the impact of ESG management practices on brand perception, identifying key ESG strategies that enhance corporate reputation and sustainability.• Researched and analyzed leading automobile companies (e.g., Toyota, Volkswagen, Tesla) to identify ESG strategies, providing strategic insights and recommendations to improve their sustainability practices and reputation.
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Administrative ClerkRepublic Of Korea Army Nov 2020 - May 2022South Gyeongsang, South Korea• Awarded Enlisted of the Month (July 2021) for exceptional performance in translating the 39th Division’s official promotional video and improving administrative efficiency within the Audit Agency.• Translated critical media and documents to facilitate liaison with U.S. military units, ensuring clear communication between the 39th Infantry Division, U.S. 2nd Infantry Division, and 19th Expeditionary Sustainment Command.• Redesigned document management systems by implementing a color-coded structure, reducing document retrieval time by 30% and improving administrative efficiency.• Negotiated with other departments to secure critical equipment for operations, facilitating the successful execution of divisional exercises and operations.• Led a team of enlisted soldiers to manage inventory, maintain supply depots, and support the divisional combat casualty care exercise, ensuring operational readiness of Headquarters Service Troops. -
Teaching AssistantSt. Norbert College Aug 2018 - May 2019De Pere• Collaborated with colleagues to implement adaptive strategies to improve students’ understanding of calculus and business statistics
Jaewon Kim Education Details
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Applied Statistics -
Institutional Gpa: 3.75/4.0 Major Gpa: 3.97/4.0 -
Mathematics
Frequently Asked Questions about Jaewon Kim
What is Jaewon Kim's role at the current company?
Jaewon Kim's current role is M.S. Applied Statistics Student at University of Michigan | Time Series Analysis | Machine Learning | Volatility Modeling | Quantitative Finance.
What schools did Jaewon Kim attend?
Jaewon Kim attended University Of Michigan - Rackham Graduate School, University Of Illinois At Urbana-Champaign, St. Norbert College.
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