I am a problem solver. I am passionate about technology, interested in the financial markets, and have a degree in both. I have an analytical mind and am keen to apply that in any future challenge.
Developing and maintaining the implementation of the Standardised approach for counterparty credit risk (SA-CCR). Our application offers banks either a standalone or SaaS solution for the SA-CCR calculations as defined by the Basel norms. Deployment is done using the wildfly application server. My responsibilities on the project include developing the calculations in Java and in a supporting 'DSL' language as well as supporting non technical team members. As the 'security champion' of the application I am also responsible for complying with the OWASP Application Security and Verification Standard.
Developing the "ETL" application that helps banks comply with their reporting obligations.
Support clients in defining their real estate needs and evaluate their performance. Create bespoke models to benchmark their portfolio and assess different scenarios. Data and geographic analysis (commute analysis, mapping). Developed an optimal location analysis tool based on clustering techniques (KNN, Density Estimation). Provide overall financial support (Cash Flow, P&L, NPV, IRR) as well as calculating sensitivity on those.
See above.
Assessed the opportunity to add geographic diversification to their online investment advice tool. Worked with the data team to automate data flows and checkpoints. Was offered a paid summer position to help with the launch of their online application.
Worked four nights a week to finance my living costs and masters degree.
During this internship I learnt the basics of retail banking and commercial strategies used on a local scale. Was offered a full time position by the end of the internship.
Magna cum laude
Magna cum laude
Distinction
With merit
Class of 2010
A Django powered web app to create a betting pool amongst friends. Currently only supports desktop views.
A python module that allows for the clustering and managment of latitude and longitude points.
A python command line tool that looks for the occurance of a word in all pdf files in a folder.