SHENGYANG XU
**** * *** **, ********, NY *****;
347-***-****; ******@********.***
EDUCATION
Columbia University, New York, NY Sep. 2013 ~ Dec. 2014
Master of Science in Operations Research GPA 3.93/4.00
Relevant Courses: Financial Engineering; Quantitative Risk Management; Corporate Economics;
Simulation; Machine Learning; Application Programming.
Shandong University, Jinan, China Sep. 2008 ~ Jun. 2012
B.S. in Financial Mathematics & Financial Engineering GPA 86.3/100
WORK EXPERIENCE
JK Investment Consulting, New York, NY Sep. 2014 ~ Nov. 2014
Part-time Financial Analyst, Asset Allocation Research
Large Data Manipulation: Retrieved and processed historical time series data from multiple data sources.
Term Structure: Constructed bond indices model disaggregating capital appreciation, income and total return .
VBA Implementation: Implemented the model that enabled calculation of rolling returns in Excel VBA.
Nanyang Commercial Bank (China) LTD. Shenzhen, China May 2012 ~ May 2013
Assistant Relationship Manager, Corporate Banking
Comprehensive Credit Analysis: Generated credit reports presenting the clients’ credit condition, including
qualitative analysis as well as quantitative analysis on their P&L, repayment abilities and stress test.
Corporate Finance: Analyzed clients’ updated financial statements periodically in order to disc lose potential risk.
Asset Management: Recommended investment plans for clients and estimated prospective profits .
Relationship Management: Managed over 50 active clients, including over 10 clients with credit business.
Research Institute of Shenzhen Stock Exchange, Shenzhen, China Jun. 2011 ~ Jul. 2011
Internship, Market Research Group
Project 1: study on Investors’ Group Behavior
Behavioral Economics: Deduced quantitative models based on Behavioral Asset Pricing Model.
Differential Equations Analysis & Numerical Analysis : Analyzed the stability of the system under different
conditions and solved the Partial Differential Equations through Advanced Euler Method.
Project 2: research on interaction between CSI 300 Index Spot and CSI 300 Index Futures Markets
Time Series Analysis: Analyzed the Co-Integration and Causality relationship between the Spot and its Futures.
Econometrics: Built Vector Auto-Regression model to explore the relationship between the index and its future.
R
RELEVANT PROJECT
Portfolio Constructor via Mean – Variance Model, New York, NY Oct. 2014 ~ Nov. 2014
Deterministic Model: Referred to Simplex to find feasible start point and simplified the quadratic Mean-
Variance problems.
Numerical Analysis: Determined the changes’ direction via sorted gradients and controlled changes’ ranges
according to objective function’s derivatives.
Robust Arbitrage Detector, New York, NY Sep. 2014 ~ Oct. 2014
Synchronization and Interfaces Work: Utilized Command Line Prompt as the media to coordinate Python,
VBA, C++, and Gurobi to compute robust arbitrages’ positions .
Simulation: Operated Monte -Carlo with the scenarios’ data, assumption of assets’ distribution, and dependent
structure to generate Values at Risk and assessed the detector according to the results.
SKILLS
Programming Language: PASCAL, SQL, C/C++, Java, MATLAB, R, SAS, Python and Excel VBA.
Scripting: Unix Shell, Windows Command Prompt.
Software: Bloomberg Terminal, Microsoft Office (Word, Excel, PowerPoint, Access), EVIEWS.
Language: English (Fluent), Mandarin Chinese (Fluent).
Certification: CFA Level I candidate.