Summary
Overview
Work History
Education
Skills
Work Preference
Timeline
BusinessAnalyst

Yinghou Wu

Finance
Boston,MA

Summary

As a dedicated individual pursuing a Master of Science in Quantitative Finance (MSQF) at Northeastern University, my focus is on honing programming and data analytics abilities. With a strong foundation in accounting and finance from undergraduate studies, I possess a solid understanding of corporate finance and accounting principles. Proficient in analytical tools such as Python, MATLAB, Excel, Word, and Jamovi, I am well-equipped to handle complex data analysis tasks. My deep passion for finance drives me to eagerly apply skills to the financial industry, particularly in roles that merge finance with technology. The rapidly evolving AI industry holds a keen interest for me, motivating me to expand knowledge in this field with the goal of leveraging artificial intelligence to innovate and solve complex financial challenges.

Overview

3
3
years of professional experience

Work History

Quantitative Analyst

Icarus Fund LLC
New York
05.2024 - 08.2024
  • During my internship, I conducted comprehensive past-performance analyses and developed future return models across a range of assets, including stocks, ETFs, and options
  • Additionally, I constructed optimized portfolios and performed detailed performance evaluations, comparing the results against the S&P 500 benchmark
  • Furthermore, I utilized advanced models such as Minimum Spanning Tree (MST), Planar Maximally Filtered Graph (PMFG), Time-Varying Parameter Vector Autoregression (TVP-VAR), Tail Co-movement Index (TCI), and the Quarter-on-Quarter (QoQ) framework to analyze ETFs
  • This analysis provided insights into market risk exposure, systematic risk, and inter-ETF correlations, offering valuable guidance on market interconnectedness and risk management strategies.

Transaction Diligence Intern

EY
London
05.2022 - 08.2022
  • Financial Analysis Support: Assist in analyzing financial statements (income statement, balance sheet, and cash flow) to assess the financial health of a target company
  • Help evaluate key financial metrics such as profitability, working capital, debt levels, and cash flow to identify risks and opportunities
  • Due Diligence Preparation: Contribute to the preparation of due diligence reports by gathering and organizing data from multiple sources
  • Work with the team to identify potential deal risks and areas requiring further investigation
  • Data Gathering and Research: Conduct market and industry research to support deal evaluations, helping assess the competitive landscape and business environment of the target company
  • Help collect relevant financial documents and materials for analysis, such as financial forecasts, tax information, and contracts.

Audit Intern

KPMG, LLP
London
06.2021 - 08.2021
  • Developed understanding of company audit methodology, approach and tools while working under supervision of licensed auditors
  • Performed analytical review of audit documents
  • Prepared, analyzed and verified annual reports and financial statements to assess financial condition and facilitate financial planning
  • Project Experience
  • Pay Gap Analysis: Leveraged Jamovi to analyze wage disparities using data from the ‘Understanding Society' dataset
  • The analysis examines the impact of independent variables such as Ethnicity, Gender, Age, Educational Background, and Residency Location on wages
  • The study assesses both the individual and combined effects of these variables and determines the statistical significance of each factor
  • Stock Performance Analysis and Projection: Utilized MATLAB and the CAPM model to conduct a detailed analysis of Nvidia's stock performance over the past two years
  • The project involved examining historical trends and projecting potential future movements, as well as critically assessing the practical limitations of the CAPM model in real-world applications
  • Trading Strategies Analysis on SPY Index: Conducted a comprehensive strategy analysis of SPY Index performance over the last 30 years using Python
  • The study evaluated the returns of four distinct trading strategies: 1) Hold SPY, 2) Buy at open & sell at close, 3) Buy at close & sell at open, and 4) Buy & hold excluding the worst and best 3 days
  • Option Pricing Calculator: Developed a binomial option pricing model in Excel for various types of options, including Put, Call, Down-and-Out Call, Down-and-In Call, Down-and-Out Put, and Down-and-In Put
  • The model was applied to different underlying stocks to calculate option prices
  • Leveraged Product Analysis: Designed a custom price-weighted index and constructed a covered structured note
  • The analysis focused on how volatility impacts the performance of the leveraged product, providing insights into risk and return dynamics.

Education

Master of Science - Quantitative Finance

NORTHEASTERN UNIVERSITY
December 2024

Bachelor of Science - Accounting & Finance

Queen Mary, University of London
June 2023

Skills

  • Data Analysis & Quantitative Methods:
  • Data Analysis
  • Regression Analysis
  • Quantitative Analysis
  • Analytical Skills:
  • Python
  • MATLAB
  • Excel
  • Jamovi
  • Financial Modeling & Accounting: Option Pricing
  • Free Cash Flow (FCF) Analysis, Discounted Cash Flow (DCF) Analysis, Merger & Acquisition (M&A) Analysis, Portfolio Construction
  • Financial Reporting
  • Audit Procedures
  • Financial Accounting
  • Management Accounting

Work Preference

Work Type

Full Time

Work Location

HybridOn-Site

Important To Me

Work from home optionPersonal development programsPaid sick leave

Timeline

Quantitative Analyst

Icarus Fund LLC
05.2024 - 08.2024

Transaction Diligence Intern

EY
05.2022 - 08.2022

Audit Intern

KPMG, LLP
06.2021 - 08.2021

Master of Science - Quantitative Finance

NORTHEASTERN UNIVERSITY

Bachelor of Science - Accounting & Finance

Queen Mary, University of London

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