Globally experienced professional whose passion and expertise intersect with the application of highly quantitative methods and data to do transformative, useful things that will improve your firm by enabling actionable insights from your data. Simply stated, I really enjoy math, statistics and ...
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Globally experienced professional whose passion and expertise intersect with the application of highly quantitative methods and data to do transformative, useful things that will improve your firm by enabling actionable insights from your data. Simply stated, I really enjoy math, statistics and problem solving. I am proud of extracting value from data.
I would be engaged and competent to make meaningful, valued contributions as a:
Data Scientist
Data Gathering and Transformation
Constrained Optimization
Multivariate Regression and Feature Engineering
Machine Learning Sentiment Analysis, Clustering and Recommender Systems
Scaling Algorithms and Dimensionality Reduction
Quantitative Analyst
Asset Valuation and Allocation
Portfolio Construction
Risk Analysis
Fund of Fund Manager Selection
Systematic Trading Strategy Modeling
Data Analyst
Strong Investment and Trading Domain Data Expertise
Techology Polygot Comfortable with .Net languages and Java in Linux and Windows
Statistical Tools Expertise (Excel VBA, R, Python, pandas, scikit-learn and graphlab)
Comfortable with Many Flavors of SQL as well as time-series centric tools like kdb+
Famliliarity with Market Data and Risk Analytics Products (Bloomberg, Factset, Barra MSCI Risk Models)
Software Engineer and\or Business Analyst
Full Project Lifecycle Expertise with Agile and Waterfall Methodologies
Built Custom Applications and Implementation of Vendor Solutions (Charles River, Bloomberg AIM)
Led Projects, Gathered Requirements, Wrote Functional and Technical Requirements Documents.
Soft Skills of Interest
Effective verbal and written communications skills
Used to fast-paced work environment; strong sense of urgency
Passionate curiosity to learn with ability to grasp complex material quickly
Play very nicely with work colleagues at all levels
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