Sample Template Example of Beautiful Excellent Professional Curriculum Vitae / Resume / CV Format with Career Objective, Job Description, Skills & Work Experience for Freshers & Experienced in Word / Doc / Pdf Free Download
Working Experiences
Education
Advanced Computer Skills
Honors & Awards
Self Evaluation
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Linda Guasp
150-11 51nd rd, Apt. 202
Phone:
205-201-8522
Slopeway
Canton, SA 20151 Email:guasp.55@hotmail.com
Professional
Objective
Quantitative Analysis,
Financial Derivative Analysis, Trading Strategies, Statistical Arbitrage, Asset
Pricing, Model Valuation, Quant Development, Machine Learning, Portfolio
Analysis, Financial Econometrics, Risk Management, etc.
Working Experiences
² Quantitative
Analyst, Standard Chartered Bank 2011.1 ~ 2011.12
·
Built swap curves
based on different financial instruments of fixed incomes to price bonds,
interest rate swaps, and cross currency swaps.
·
Implemented and calibrated different interest
rates models such as short rate models (Hull-White and G2++), Libor market
model and SABR model.
·
Used short rate model to price some complex
products such as Bermudan Swaption by numerical methods such as trees.
·
Calibrated the credit model such as hazard
rate model from CDS.
·
Learning the CVA models.
² Research
Assistant, Purdue University 2006.8 ~ 2010.8
Project: A new stochastic volatility model with jumps for equities with
Bayesian analysis and option pricing
·
Built stochastic
volatility models for Black-Scholes and Levy process based on Non-Gaussian
Ornstein-Uhlenbeck process.
·
Used Levy
subordinator to improve the models and made Bayesian estimation and prediction
with MCMC algorithm for the volatility and future returns.
·
Produced more
efficient asset pricing for equity options based on the model.
Project: Calibration of
Parametric Geometric Levy Models under High-Frequency Data.
·
Conducted numerical
optimization to calibrate Levy models (such as VG and NIG model) for daily,
hourly, minutely frequency stock prices.
·
Concluded that the
calibration accuracy improved with higher frequency by the theoretical proof
and numerical simulation.
Project: Time series analysis of the US
Treasury Bill based on AR-GARCH model.
·
Analyzed the US Treasury Bill dataset and
found the important features of the data and then fit AR model on the returns
and GARCH model on volatility.
·
Provided a simple approach to calculating
value at risk of a financial position and asset allocation under the
mean-variance framework.
Project: The analysis of social and
natural environmental effects on Boston house prices.
·
Built an advanced regression model for the
environmental factors and the house prices and showed environmental factors are
significant to affect house prices.
·
Concluded that the social environmental
factors were more important than natural environmental factors.
Education
² Purdue University, Ph.D.
in Statistics 2010
·
Research areas: Financial Modeling,
Stochastic Calculus, Applied Probability, Time Series, Econometrics, Numerical
algorithms, Monte Carlo Simulation, Optimization, Machine Learning, Bayesian
Analysis, Regression, Principle Component Analysis, Classification &
Clustering
² Indiana University, M.A.
in Mathematics 2005
²
Peking
University,
B.S.
and M.S. in Mathematics 2003
Advanced Computer Skills
² Proficient with C, C++, and Excel VBA Programming.
² Proficient
with Matlab, R/S-Plus, SAS, SPSS, SQL and Microsoft Offices.
Honors & Awards
² Bilsland
Fellowship, Purdue University, 2009
² Excellent
Studying of Peking University, 2002
² Excellent
Prize of Chinese Physics Olympic Contest for High School students, 1995
Self Evaluation
² Highly
motivated and confident individual with excellent communication and interpersonal relationship skills.
² Both
cooperated and independent with responsibility.
² Broad scope
of knowledge and adaptability to keep learning.
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