NIANHUI (ELLA) SONG 423 W 118th Street, Apt. 3D, New York, NY

NIANHUI (ELLA) SONG
423 W 118th Street, Apt. 3D, New York, NY, 10027, 646-469-3512, [email protected]
EDUCATION
NEW YORK UNIVERSITY
New York, NY
The Courant Institute of Mathematical Sciences
MS in Mathematics in Finance (expected – December 2014)
Mathematics: Linear Regression, PCA, Ito’s Calculus, PDE, SDE, Brownian motion, Martingales
Derivative Securities: Black-Scholes pricing models, Greeks, Interest rate and FX models
Portfolio Management: Efficient frontiers, Mean-Variance Optimization (MVO), Black-Litterman
model, Factor models, Value at Risk
Future Courses: Time Series Analysis and Statistical Arbitrage, Advanced Econometric Modeling
EMORY UNIVERSITY, Chemistry Department
Atlanta, GA
Ph.D. in Physical Chemistry (September 2008 – August 2013)
Thesis: “Single Quantum Dot Electron Transfer Dynamics”
Published 14 peer reviewed journal papers, presented at two international conferences
UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA (USTC)
B.S. in Material Physics (September 2004 – July 2008)
GPA: 3.85/4.30. Math GPA: 4.2/4.3. Rank in class: 1/27
WORK EXPERIENCE
Hefei, China
SMBC Capital Markets
New York, NY
Summer Intern in Quantitative Research Group (June 2014 – Present)
Explored different approaches to quantify fair values of volatility skew in interest rate derivatives:
Optimized daily P&L of arbitrary portfolios to predict future volatility skews
Proposed and implemented different local-stochastical volatility models to simulate option prices
and extract implied volatilities using Black’s formula
Supported daily trading activities: Maintained trading books and monitored trading risks; Developed
programs (VBA) to improve trading book functionality and to manipulate trading records
Emory University
Atlanta, GA
Research Assistant (September 2008 – August 2013)
Developed methodology to study jump processes in light emitting nanoparticles and quantified
stochastic transitions between different physical states
Implemented Maximum Likelihood Analysis to analyze exponentially distributed data
ACADEMIC PROJECTS
Efficient Frontier Construction and Portfolio Optimization (Fall 2013)
Cleaned 15 years of daily return data of 500 stocks; Predicted expected returns using CAPM and
Black-Litterman models; Estimated covariance matrix using historical correlation between stocks
Conducted MVO to construct efficient frontiers and optimized portfolios
Tutorial on Robust Asset Management (Spring 2014)
Documented robust mean variance optimization methodology utilized in asset management
Applied saddle-point algorithm to robust MVO and constructed more conservative efficient
frontier compared with traditional MVO.
Cluster Analysis of Hedge Fund Indices (Spring 2014)
Applied hierarchical method on 10 CISDM hedge fund monthly indices to group the assets
Constructed a dendrogram of the analysis and identified 4 groups based on asset correlations
COMPUTER SKILLS AND OTHER
Programming Languages: VBA, Java, C++, Matlab
Certification: CFA Level II Candidate