Senior Quantitative Specialist Resume
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New, YorK
TECHNICAL SKILLS
- C++
- Python
- Matlab
- R
- SQL
PROFESSIONAL EXPERIENCE
Senior Quantitative Specialist
Confidential, New York
Responsibilities:
- Lead research project on transaction cost models; apply optimization theory to derive optimal strategies for portfolio liquidation; develop liquidity adjusted Value - at-Risk (L-VaR) model using optimal liquidation strategies and implement teh L-VaR model wif Python
- Conduct back tests and stress tests on institutional portfolios wif SQL and present analysis results to senior management on a monthly basis; lead junior team members to enhance testing platforms; improve teh accuracy and efficiency of back testing and stress testing methodologies
- Mitigate model risk by designing and implementing statistical tests to monitor teh performance of margin models; develop Excel applications using VBA and SQL to generate risk reports
- Enhance and implement teh methodology for historical stress scenario selection wif Matlab and SQL; quantify risk exposure under extreme market conditions and hypothetical scenarios; participate in teh development of guarantee funds for clearing members
- Perform in-depth analysis on various asset classes, such as, exchange traded funds (ETFs), ADRs and fixed-income securities, to identify teh limitations of market risk models; recommend model revisions and conduct impact analysis wif SQL and R
- Implement Merton model to quantify credit risk of institutional accounts wif R
Quantitative Consultant
Confidential
Responsibilities:
- Implemented VaR methodologies and developed applications using Python and SQL to manage institutional margin accounts
- Reported directly to teh Head of Quantitative Trading; directly supported traders in high-frequency and medium- to long-term equity and derivatives trading
- Conducted independent research and modeling to design trading strategies on stocks, ETFs, closed- end funds (CEFs) and equity derivatives; managed teh lifecycle of strategy development and drove teh strategy adoption and execution
- Led teh development and implementation of stochastic models in pricing options, convertible bonds and other derivatives using C++ and Matlab; performed in-depth analysis on teh net asset value of emerging market ETFs
- Explained model performance and estimations to traders; conducted scenario analysis and stress tests to identify major sources of risk; recommended hedging strategies
- Enhanced teh performance of an in-house automated pair trading system; analyzed tick data sets to detect inaccurate quotes and updated teh real-time trading database wif SQL
- Implemented teh local volatility model to price path-dependent derivatives; applied variance reduction techniques to improve teh efficiency of Monte-Carlo simulations
- Developed and maintained teh company's skew calculation system; calculated overnight and realtime skews for an in-house option trading system
Quantitative Finance Analyst
Confidential
Responsibilities:
- Analyzed teh market risk exposure of equity, credit and mortgage products
- Validated key assumptions in pricing models for valuing and hedging exotic options; identified model strengths and weaknesses
- Developed programs using C++ to validate pricing models for derivatives trading; assisted trading desks in implementing teh models in teh pricing system
- Worked closely wif risk managers to verify and approve pending transactions of exotic derivatives; identified issues wif pricing model selections and recommended proper revisions