Creatingfixing data pipelines Speaking with clients to understand their data needs and finding solutions for them
Coding Meetings Discussing things with teams
Design implementation and evaluation of features It required a lot of learning of the particular technologies used in the project
Standup Meetings Development work Technical discussions
I worked with python and typescript Also gained an insight to the finance world which was something I wanted getting into the job I learned a lot from my internship and the team that I was assigned The got to experience the whole development lifecycle
I was placed in the ESG department and built a backed service for a screen that039s used to display companies039 SFDR data SFDR is a public European regulation It was a fun project to build I got to work with trees and there was lots of recursio
I was working on more of a research project It involved reading academic papers and writing software pertaining to the research I also did a lot of software testing for the software I wrote and also did lots of networking and presentations I improved
Complete intern project over approximatively 10 weeks
I was working on existing issues in two opensource projects I needed to come up with some optimizations and implement something new Besides coding I have a lot of intern events which were amazing for connecting with people Every day I had a daily mee
Working on adding a feature to the Bloomberg Terminal Worked predominantly in C and JavaScript
I had a daily catchup with my mentor to discuss my project and progress We created tasks for the next few days and I worked on those Every day there was a standup we attended
I am working as a research intern and with my mentor my main focus is to develop learningtorank methods to help improve the current recommending strategies I have daily meetings with my mentor weekly meeting with my teamleader and weekly presentatio
I was involved in data management tasks as well as a project about improving the terminal
Group Projects Individual Projects Calling Competition every Friday Speaker039s series Trainings Networking Shadowing Client Visits
You have an opportunity to work both within sales as well as analytics Two days per week you have trainings on asset classes needed for analytics whereas the rest of the week you spend in sales working on projects and campaigns
Within Analytics we had training on different asset classes and player types within finance we would then do mock client chats on what we had learnt For Sales we would call clients regarding functions and shadow meetings with account managers
Analytics days classroombased practicing messaging clients and answering questions calling clients Sales days calling clients about functions helping account managers in their daytoday roles
Calling Clients Learning the Bloomberg terminal Shadowing employees Completing value adding projects Networking
Projects
Analytics Trainings about the financial market and the Bloomberg products Once the trainings are completed you can use your knowledge doing projects in your team Sales maintaining relationships with clients by calling them visiting their offices and
