Greater Seattle Area
Azure Service Bus
Agent Lending Disclosure - Partnered with the Credit Risk Office to reinvent the Credit Exposure and Disclosure process for the Bond Repurchase and Stock Loan businesses. - Improved data reconciliation metrics from under 40% to 99.5% guaranteed. - Wrote fault tolerant, data-driven, matching Algorithm to reduce capital charges from upwards of $25 Billion to under $7 Billion. - Led the client discussion and project schedule on a team of 4 people with varying levels of experience. - Designed reporting framework for transparency for Senior Management.
Trainee in the Morgan Stanley Graduate Training Program Extensive Industry training in Java, C, C++, JavaScript, Python, Perl
• Implemented backend for a financial portfolio dashboard to help train novice investors about portfolio diversification. • Showed impact on net portfolio risk on investing in a specific stock. • Pitched to venture capitalists as a social and gamified investing tool. • Won a $1000 cash prize for best use of the API