Cullen Baker Email & Phone Number

Chicago, Il, Us

New York, Ny, Us

Charlotte, North Carolina, Us

New York, Ny, Us

New York, Ny, Us

Passed Series 57 – Securities Trader ExamFormulated principles (with an emphasis on expected value and risk management) for trading both market making and technical analysis strategies, and profitably executed these strategies in the equities market. The market making and technical analysis strategies produced 27.4% and 7.2% annualized returns, respectively, and both are continuously being refined.Obtained substantial order flow analysis skills primarily using tape and Level II data, which I integrated into short term strategies such as dark pool/exchange arbitrage and scalping.Using Python and linear regression, developed an automated algorithm to find particular opportunities in the market with desirable attributes for intraday trading.Created various tools using R and Python to filter the universe of equities for specific technical indicators

New York, New York, Us

Completed due diligence, engineered a loan tape, and an IRR calculator based upon several cash flow streams in order to market a UK-based P2P lending platform.Translated, analyzed, and composed a forecaster on financial statements for a resort in Riviera Maya. Also performed due diligence and created a tool to analyze how different methods of refinancing, as well as other risk factors, affect the potential yield and default risk of the subordinate debt.Assessed the profitability of financing a company that intended to upgrade the energy efficiency for a few particular Department of Justice establishments. Also played a smaller role in various other projects.

New York, Ny, Us

At Glanstone I primarily dealt with database construction and analysis. Here I also played a significant role in optimizing the productivity of the operations process, and in doing so, I created a model to monitor essential investment statistics for each industry.

London, Gb

Prepared analysis that measured the competitive positioning of Coventry’s group health products against other major carriers in particular regions.Built a database of zip codes and associated county names in multiple states, then used this database to more accurately align area factors with the insured’s location of residence.Performed persistency analysis to determine the correlation between the percentage change in premium cost and the percentage of groups that stayed with Coventry the following year. Created an Excel macro used to calculate NEFs (Network Efficiency Factors) between Coventry and various competitors. This tool was primarily used by the underwriting department to quickly demonstrate the competitiveness of each of Coventry’s different plans in a given region in relation to those of our competitors.

Master'S Degree, Data Science

Financial Risk Engineering, Computative Finance, Algorithmic Finance

Bachelor Of Applied Science (Basc), Mathematics

Education record