Sr. Manager Resume
3.00/5 (Submit Your Rating)
SUMMARY:
- Accomplished professional leader with international experience in finance, energy, telecommunications and entrepreneurship.
- Hands - on model risk governance, model validation and improvements of advanced financial, marketing and business models.
- Led transformational effort to automate underwriting process at a merchant credit company: from data aggregation, data mining, credit scoring model design, risk prediction, pricing and term offers to portfolio optimization.
- Vast modeling, testing, validation experience with trading strategies on different instruments and trading horizons for hedge funds, CTA’s and wealthy individuals.
- Led data decision and interpretation projects in conceptualizing models & delivering software for oilfield and financial services. US and international patents.
- Led team of modelers and traders in running $150M quantitative equity strategy in US and Europe.
- Experience with Enterprise Risk Management and design of in house analytics for a complex derivatives portfolio for a large hedge fund.
- Knowledge of financial instruments and products, FRM designation.
- Persuasive, enjoys educating and listening, superb negotiation, people & soft skills.
TECHNICAL SKILLS:
- Python
- R
- Matlab
- SAS Enterprise Miner
- SQL
- MongoDB
- RapidMiner
- Java
- VB
- C/C++/C#
- F#
- Fortran
- Risk Metrics
- Axioma
- Clarifi
- QA.
PROFESSIONAL EXPERIENCE:
Confidential
Sr. Manager
Responsibilities:
- Responsible for validation of financial, business and marketing models in Schwab. Initiated automation via machine learning, Software used: SAS Enterprise Miner, R.
- Responsible for major market trading strategy models, Matlab & R used. Improvements of models through simplification.
- Gap analysis, Model Risk Governance, SR11-7.
- Initiated automation in stress testing.
Confidential
Consultant/Financial Risk & Business Analytics
Responsibilities:
- On consult as a Lead Decision Scientist in delivering credit scoring models, risk analysis, automation and management advisory for a Merchant Cash Advance company in Miami. SAS Enterprise Miner & R Studio with external data sources.
- Responsible for developing business analytics using machine learning and R Studio for Credit Risk Prediction.
- Responsible for developing quantitative methods for risk and strategy on value based equity models on S&P500 constituents under socially responsible restrictions.
- Algorithmic Approach to Efficient XVA Management: Computation, Hedging, and Attribution.
Confidential
Trading Strategy/Risk Developer
Responsibilities / Deliverables:
- Hands on R&D of quant trading strategies utilizing Matlab/SQL for worldwide futures and forex markets for a $1B CTA. Machine Learning & Pattern Recognition techniques.
- Developed long term computerized trend following strategy on 52 futures markets that was put into production.
- Portfolio management of a set of strategies. Refinements of trading Risk Model overlay (position sizing, market sensitivity, leverage, regime switching) within the firm.
Confidential
Principal
Responsibilities:
- Consulting services in Financial Risk area for a derivatives startup brokerage in Dubai, UAE: risk model and presentation to board and investors.
- Model-driven quantitative trading system development in Matlab/Portfolio123, presented to clients worldwide.
- Consulting for a hedge fund in Minneapolis, MN on short only strategy idea.
Confidential
Quantitative/Risk Analyst
Responsibilities:
- Quantitative Proprietary Trading: R&D and trading of medium-term quantitative strategies for US and European equity markets. Initialized quant trading and run 2:1 leveraged portfolio of $ MM with profits of $6.5MM for 2 years. Highly complex models developed with Matlab & SQL using technical indicators and fundamental factors.
- Systematic Strategy and Infrastructure Development: R&D and back testing of baskets utilizing multifactor models and intraday strategies on platforms Compustat Point-In-Time, Clarifi Model Station and Axioma portfolio optimizer. Evaluation of external trading systems and strategies.
- Risk Analytics and Management: Developed intranet risk analytics for portfolios (performance statistics, VaR, risk attribution, factor sensitivities) HTML and VB. Work on platform RiskMetrics on risk valuations of $800M convertible bonds and derivatives portfolio. Monthly delivery of risk reports to institutional investors.
Confidential
Market Research Analyst
Responsibilities:
- Intraday Futures Strategies and Trading: R&D of technical intraday strategies for futures markets (SP500 NASDAQ, DAX, Forex, US Bonds): from strategy conception in C++/Java/Fortran, modeling, and validation to implementation.
- Strategies developed on 5 min bars using technical and statistical analysis.
- Trading performed on US and European futures exchanges.
- Tradable Pattern Recognition: Discovery and classification of tradable patterns on futures data time series.
Confidential
R & D Engineer 9
Responsibilities:
- Well Log Measurement Interpretation at High Dip Angles: Mathematical modeling and maximum entropy inversion of log data for interpretation of resistivity reading. Led the project that involved 3 PhD’s, 1 MS and 2 programmers. US patent granted. Matlab/Java/SQL coded and implemented in Schlumberger software on field.
- Signal Estimation and Noise Cancellation: Developed algorithm for signal extraction from measurements involving boreholes with corkscrew characteristics. US patent granted. Java/Matlab implementation on company-wide interpretation software.
- Fuzzy logic system for log quality control: Designed a system that accounts for environmental characteristics of borehole measurements and provide adjustments to measured parameters. Fuzzy logic inference engine utilized.