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I worked in the Multi Asset Risk System team, with both design and implementation responsibilities. I designed and implemented an improvement of an existing feature, which involved a very interesting challenge.
My role was to work on a programming project. This involved mainly Python programming and team meetings (daily standups, weekly sprint plans) and daily catchups with my mentor.
I reported and wrote a wide range of news stories around economics, business and finance. Internship also involved working with others, for example when writing a joint byline or preparing for a press conference or event as a team (i.e. one person writes headlines, the other gets quotes etc.)
Day to day job consists of helping clients, answer their queries. Else I had the chance to work on an interesting project from scratch.
A very structured 10 weeks internship consisting of training sessions on all asset classes in Global Data where you are presented with a run through of their day to day tasks as well as projects they work on. Of course you learn a lot about many many Terminal functions used by specific teams as well as across teams. You also work on your individual project where you are guided by you mentor and buddy and have to present you findings by the end of the internship. you also shadow with people on your team and possible perform a reverse shadowing so you consolidate your knowledge of the asset class and the team.
On a day to day basis I was speaking to clients for different purpose. Some days I showed clients new or updated functions, or I was making a lead for Bloomberg to sell a terminal.
assisting Bloomberg clients with Terminal inquiries working in a team on 5 projects
- Attend training on basic analytics, complete exams after training. - Learning about tradedesk business and main functions, attend client training calls. - Participate in product campaign calls for tradedesk OMS products. - Work on different projects with enterprise product buy-side sales department.
responsible for making data accurate, accessible and timely for clients
I was a part of the fixed income corporate actions team. I worked on a business project where I did data analysis on operational data and then set up webscrapers to increase coverage of our existing product. I also worked on writing a published article on the financial markets.
Rotational program in analytics and sales department - focus on client relation management, product deployment, fundamental training in different asset class & presentations.
Involves: 1.Client interaction 2.Financial knowledge 3.Relationship management 4. Communication and interaction to coordinate projects with the rest of the team
Calling clients, liaising with teams, shadowing professionals, developing projects, self-studying to improve the knowledge of the financial sector.
Working and collaborating with multiple teams, including Global Data, Sales & Analytics, Engineering, Tech Operations and multiple vendors across the teams and company. Looking to analyze and identify trends and patterns within the datasets.
Worked two days a week in Sales department, completing many projects. Created presentations on different customer types and key themes driving the asset management industry. Reached out to clients to share new tools and solutions, and gain intelligence on their workflow/structure of the company... Worked two days a week in Analytics department, completing trainings to learn more about finance, the terminal and more Bloomberg solutions. Also carried out phantom chats to practice assisting clients and made Product Deployment calls to clients to educate them about tools on the Terminal. Did calling campaigns on Friday.
In Sales, it was my job to call clients about different functionalities on the Bloomberg Terminal. Our aim was to ensure clients were getting the most out of their Terminal, and ensuring our clients had an overall positive experience of usage. In Analytics, we had lots of classroom-style learning sessions, product deployment calls, and training on how to answer client helpdesk queries.
I had a great time rotating across analytics and sales. Speaking to clients was one of the biggest highlights.
The week is split into 3 days spent working on sales projects/campaigns, and 2 days spent in finance-specific training and analytics tasks.
Analytics: following trainings to be proficient in every asset classes Sales: prospecting, maintaining relationships
As an Analytics and Sales Intern, I work across 2 client-oriented departments. In Analytics, we become experts of the terminal and asset classes, and provide 24/7 support for Bloomberg users all over the world and across multiple industries. In Sales, we develop strong relationships with our clients to understand their workflow and suggest solutions and products. Both roles involve a lot of calling and speaking to clients.
