Jiaxin(Jessie) Chen

**** ******** **, ********* *******,OH,44106, 216-***-****, addu4b@r.postjobfree.com

LinkedIn Profile:www.linkedin.com/in/jiaxin-jessie-chen-705449179 TOP SKILLS

Programming Language: Python, SQL, SAS (SAS Advanced Certificate), MATLAB, VBA, R Software: Bloomberg, Tableau, Microsoft Office (Excel, Power BI, PowerPoint), Jupyter Notebook Database Management: SQL Server Management Studio, MySQL, Access, SharePoint Skills: Financial Report Analysis(GAAP), Credit Analysis, Portfolio Management, Statistical Analysis, Data Visualization EDUCATION

CASE WESTERN RESERVE UNIVERSITY Cleveland, OH

Master of Science in Management, Financial Mathematics, May.2020 GPA 3.81/4.00 Core Course: Financial Analytics (Credit Risk Analytics)(A), Quantitative Risk Modeling (Excel VBA)(A), Financial Modeling Using Big Data (SAS)(A), Corporate Finance, Financial decisions and contract(A), Individual, career and development(Tableau)(A)

GRE: 327, Merit-Based Scholarship (15%), CFA level 1 passed, FRM Part 1 passed SOUTH CHINA UNIVERSITY OF TECHNOLOGY Guangzhou, China Bachelor of Finance, Jun. 2018 GPA 3.79/4.00

National Scholarship (Top 0.1%), Third-Class University Scholarship (Top 10%) PROFESSIONAL EXPERIENCE

Nestlé USA INC. SOLON,OH

The Largest multinational food and drink processing conglomerate corporation in the world Financial Analyst Intern 04/2020 – 05/2020

Handled factory production big data and constructed an auto-updating Power BI dashboard for weekly production performance and cost summary visualization, consolidated efficiency indicators and on hold product query using SAS and SQL, increasing the data comprehensiveness, analyzing speed and accessibility for the entire factory

Built efficiency, cost, budget calculation and forecast models, achieved data visualization and interpretation for historical productivity, cost and efficiency indicators patterns under various categories using Power BI and pivot tables

Aggregated and consolidated industrial water usage, wastewater disposal raw data and items surcharge, checked bills and invoices to maintain information confidentiality, analyzed the contribution of multiple factors to sewage treatment charges and assessed water utilization performance, providing insights for production and operation improvement CITIC SECURITIES CO., LTD. GUANGZHOU, CHINA

The first ranking securities company in Asia with total asset of $94 billion Industry Research Intern 07/2019 – 08/2019

Evaluated financial performance and credit risk for leading firms in auto industry by collecting seasonal financial statements (especially A/R) and conducting ratio analysis for liquidity, profitability, productivity, debt paying ability and operational efficiency. Delivered over 50 analytical reports and investment suggestions for high net worth clients

Constructed non-linear stock return forecast models involving market return and firm-specific variables in SAS

Arranged 4 speech events by department interacting, preparing digital outreach and customer communication KAYBANK CAPITAL LLC LOS ANGELES, CA (Remote)

A quantitative asset management corporation with a portfolio of $500 million Risk management intern 05/2018 – 08/2018

Risk Monitoring & Control: Tracked the portfolio trading records and stocks risk-return indicators with SQL, modeled bonds duration and YTM, providing dynamic (daily) delta hedging positon using futures and option spread strategies with Python;

Constructed 80% of portfolio by using fundamental analysis and momentum strategy for stock selection in SAS

Conducted and visualized event analysis for the impact of M&A, earning announcement and other major events on stock price PROJECT HIGHLIGHTS

Mortgage Default Probability Forecast in SAS: February 2020

Cleaned, transformed, rescaled and bucketed real credit cards data to create useful features with data discrepancies handled

Performed relevant exploratory and graphical analysis for variables correlation and predicted PD with logistical regression

Applied simple random forest model for PD forecast in Python and evaluated model using hyperparameter tuning Firm Valuation and Structure Note Pricing for Ameritrade (Harvard Business School) December 2019

Forecasted the balance sheet, income statement and cash flow from asset using existing financial statement and sales expectation

Determined equity beta using monthly CRSP database and estimated WACC using “Asset Beta” method and regression tables

Evaluated the firm value using discounted cash flows, designed and priced an equity linked bond for funding using Python LEADERSHIP & ACTIVITIES

Tax Return Volunteer Training, Cuyahoga EITC Coalition, USA Jan.. 2020

ENACTUS, International Case Competition, Top 20, Team Leader May. 2016

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