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Risk analysis Risk management Data analysis Financial modeling

Location:
Brooklyn, New York, United States
Posted:
November 27, 2018

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Resume:

YUEXIU (RACHEL) JIN

ac7s61@r.postjobfree.com 718-***-**** linkedin.com/in/yuexiu-jin/

EDUCATION

New York University, Tandon School of Engineering Brooklyn, NY Master of Science in Financial Engineering (GPA: 3.62/4.0) May 2019 Nanjing Agricultural University Nanjing, China

Bachelor of Science in Biotechnology (GPA: 3.7/4.0) Jun 2017

• National Scholarship, Nanjing Agricultural University, 2014-2015

• Top Ten Student Leaders, Nanjing Agricultural University, 2015-2016 PROFESSIONAL EXPERIENCE

QBE North America New York, NY

Risk Analyst Intern Jun 2018-Aug 2018

• Developed a risk rating model to assess small and medium-sized enterprises (SMEs) probability of default (PD) and loss given default (LGD) using Python and Excel. Tested by regional trade credit portfolios.

• Performed fundamental credit analysis on 25 corporate clients to assist the Credit Manager in making conclusions and recommendations on new business opportunities.

• Conducted top-down analysis of oil industry using Bloomberg, include performing sensitivity test between historical insurance premium and oil price using IHS Markit financial services, and presented to senior management.

• Monitored commodity market news and price fluctuations to predict the future changing of company’s credit and new business opportunities. Responsible for commodity part of monthly economic newsletter.

• Automated Excel reporting procedure via VBA, which improved working efficiency by 99.5%. COMPETITION EXPERIENCE

PRMIA Risk Management Challenge Mar 2018

• Conducted a case study about GE after the crisis. Found strategies let GE mitigate its top 3 risks.

• Analyzed the impacts of the Warren Buffet $3B investment in 2008 by calculating probability of default of GE.

• Designed risk governance system for GE to monitor risks. SKILLS AND CERTIFICATIONS

• Computer: Python, R, C++, Excel VBA, SQL

• Certifications: CFA Level III candidate, Bloomberg Market Concepts (BMC) Certification PROJECTS EXPERIENCE

New York University, Tandon School of Engineering Brooklyn, NY Risk Modeling (Python) Spring 2018

• Conducted an in-depth analysis on a dataset about credit card clients to predict credit default with 82% accuracy.

• Fitted logistic regression and classification models to training data, using SVM, KNN and Random Forest. Portfolio Optimization Fall 2017

• Analyzed Statistical features of target stocks and generated variance covariance matrix.

• Constructed maximum return portfolio under Markowitz portfolio theory and tracked performance.

• Calculated portfolio VaR and CVaR using Variance-Covariance, historical, and Monte Carlo method in Excel and R.

• Performed bootstrap simulation to estimate the standard errors of VaR and CVaR. Applied antithetic sampling to reduce the standard error.

CDO tranche loss distribution modeling and visualization Fall 2018

• Calculated CDO loss distribution density function under Vasicek model.

• Created interactive charts of expected losses on a CDO tranche using R Package Shiny and documented by R Markdown ioslides presentation.



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