Quantitative Risk Analyst Resume
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Chicago, IL
TECHNICAL SKILLS:
Quantitative Finance/Economics: Option Pricing, Quantitative Risk Management, Quantitative Trading Strategies, Microeconomics, Econometrics, Portfolio Theory, Financial Programming, Simulation Methods
Computer Science: Cloud Computing, Data Mining, Applied Machine Learning
Computer Skills: proficient in C++, R, MATLAB, Python, Excel VBA, MS Office, Bloomberg Terminal
PROFESSIONAL EXPERIENCE:
Confidential, Chicago, IL
Quantitative Risk Analyst
Responsibilities:
- Margin Model Validation based on VaR and stress test of various test cases, validate C# code for production back - test. enhanced margin performance by validating the pricing and valuation of swap and swaption.
- Research stochastic risk model with recent data to accommodate negative-rate environment.
- Data Cleansing for future options and Time Series Analysis for stochastic parameters calibrated in PM models.
Confidential, Chicago, IL
Data Analyst
Responsibilities:
- Build a probability/forecasting model with time series analysis on executive incentive plans.
- Conduct PCA on company performance features for dimension deduction. Apply clustering analysis based on performance PCs to form sub-universes. In each sub-universe, conduct supervised learning and feature engineering with time series model to relate incentive plan features to performance metrics.
Confidential
Fund of Funds Analyst
Responsibilities:
- Developed an internal PE database, researched on buyout and VC performance of European and US markets.
- Optimized the liquidity management by J-curve modeling and cash flow analysis, projected 3/5-year exit returns.
- Provided on-site due diligence survey on venture capitals (GSR) and presented a formal report on the department meeting.
Confidential
Quantitative Investment Analyst, Intern
Responsibilities:
- Constructed factor model to capture macro dynamics and regime changes, out-of-sample tested by historical data.
- Priced products by Finite Difference and Fourier Transformation method, with simulations in MATLAB.
- Measured risk exposure by AV and CV Monte Carlo simulation and employed Vasicek model with modifications.