Growing up fast

Lucy Mair gets the lowdown on Bloomberg's Global Data Training Programme from department manager Irina Fransson and new data analyst Asher Rainis

Irina Fransson

Manager in Global Data

What is Global Data?

Global Data is the division responsible for acquiring, validating and standardising all of the data that goes onto the Bloomberg Terminal - the computer system provided by Bloomberg to banks and other businesses in the finance industry. The department is sub-divided into teams devoted to each of the financial products that Bloomberg covers.

What skills and qualities do you look for in candidates?

Most importantly, due to the culture of Bloomberg being very innovative, we want people who are proactive, inquisitive and creative and who want to make a difference, and who are constantly looking for better ways of doing things. It's also important have the abilitys to multitask and adjust to shifting priorities, along with attention to detail and the ability to think logically. Since we cover data from across the globe, we absolutely need candidates who speak foreign languages.

Candidates should have a strong interest in finance. It's an advantage if a candidate has studied a finance-related subject or gained some experience in the industry, but it isn't essential.

What does the training programme involve?

It's a four-week programme at Bloomberg's Global Data headquarters in Princeton, New Jersey, and it involves intensive training sessions and exams in all of the financial products we deal with in Global Data. Trainees are also divided into teams and assigned a project, which could be developing a new product, or working on a new regulatory requirement for Bloomberg. The programme provides an excellent opportunity for trainees to meet with senior management and build a network, which puts them at an advantage when they return to London.

What happens at the end of the training programme?

Once the candidate has completed the training programme, they then return to our London office to join one of our Global Data teams, matched to them according to their skills and achievements, where they will have in depth product training. They also have access to ongoing training and development through our online resource, Bloomberg University.

Where can the Global Data Training Programme take you?

There are endless opportunities for career progression at Bloomberg, because we operate as a true meritocracy. We've had some very strong and talented people emerge from the training programme, and now they've moved into management and specialist roles.

I joined Bloomberg as a graduate trainee in the Profiles team five years ago, and within a short period of time, I became a team leader. I think it shows that people who want to make a difference to the company, and who demonstrate they have ambition, determination and loyalty, can benefit from the opportunities to grow within the company and take their career in whatever direction they want to.

Asher Rainis

M&A Data Analyst

When did you join Bloomberg?

I started with a six-month internship in Interim Estimates in Global Data last year. Then I applied and was selected as one of the candidates for the Global Data Training Programme. After that, I joined the M&A team where I've been for the last four months.

What happens in the M&A team?

We're responsible for the global coverage of M&A transactions and capturing all M&A information on a real-time basis. We assist clients with their queries, and we also develop relationships with financial and legal advisors.

What attracted you to Global Data at Bloomberg?

One of the most exciting things about Bloomberg is that you get to work with cutting edge technology on a daily basis. I studied politics and international relations at university and then took an MSc in Management, but while I was studying I developed a strong interest in finance. I was attracted to Global Data because I get to combine my interest in the financial markets with adopting a dynamic approach to provide the most comprehensive and accurate data products to our clients.

How did you find the training programme?

It's an exciting and intense programme, because for four weeks you're assessed on almost a daily basis. The training covers all the asset classes and financial products that are offered on the Bloomberg Terminal, and it's challenging - even for those who have a solid background in finance! But the senior analysts and team leaders teaching us explained new products very well, and the training was broken up with fun events, such as networking lunches with the data managers and a tour of the New York office in Manhattan.

What did you enjoy most about the training programme?

In the final week we were divided into groups and given real projects to work on. My group's project was about the integration of calendar functions across the business. So we communicated with the research and development department to generate some new ideas, and talked to the business managers to understand the cost of putting our idea in place. We then produced a business plan, including a sample product, and presented it to the management. It was very interesting because it wasn't just a training activity - we were actually making the change!

What was the most important thing you learnt?

Initially, I thought data analysts were supposed to stay on the terminal and update information as it comes through on the news. But I discovered that it's much more than that - you have to look out for developments, search for new ideas, build and maintain relationships with clients, and interact with other areas of the business.

How has your role progressed since you started at your desk?

First of all, I had to study the products I'd be working with, and understand the infrastructure behind them. I also had to get to grips with the questions clients had asked in the past, so I could begin to respond them in the most comprehensive and accurate way. I'm still learning, but I now feel more confident in what I'm doing. I am increasingly taking initiative and going out to meet clients face-to-face so I can better understand their needs and improve our products based on their feedback.

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