Funds Data Analyst Early Professional Program - Singapore - Bloomberg

Bloomberg

Verified Company

Singapore

2 weeks ago

Posted by:

Wei Jie

beBee Recruiter

Description

At Bloomberg, our products are motivated by powerful information.

We combine data and context to paint the whole picture for our clients, around the clock - from around the world.

In Bloomberg Data, we're responsible for delivering this data, news and analytics through innovative technology - quickly and accurately.

The Team:

Bloomberg's Funds Data team is looking for an analyst to join its growing Fund Onboarding team.

There are around half a million funds in the market, each with various structures and characteristics to meet the unique needs of investors.

As part of the team, you'll work alongside a Team Leader to use your knowledge of the dataset to improve our fund onboarding procedures.

This includes, but is not limited to, configuring ETL pipelines, speaking publicly with contributors to ensure accurate data ingestion from fund inception, and contribute business rules and quality workflows to ensure high data accuracy.

This is in addition to maintaining and growing a knowledge of funds data process and client engagement.

The Role:

We'll trust you to:

Acquire, update & maintain highquality funds data using various internal systems, proprietary company software and your own automation knowledge
Work with domain experts to enrich the product using technical tools
Establish and manage relationships with internal groups throughout Bloomberg as well as external clients
Maintain a solid grasp of the fund data space by processing data for your assigned fund coverage and answering client questions
Work with other data and core business groups, such as Product, Sales, News and Engineering to help develop and improve product databases and functionality across the terminal
Leverage knowledge of the funds dataset to configure workflows in a production environment using Bloomberg's data processing technologies

This is an entry level role where you'll need to have:

The ability to join a training class in 202
No more than 2 years of work experience
Experience working in asset management and/or finance industry
Experience in data management, data processing, or data analysis
Experience in a client facing, stakeholder management, or consulting role preferably in the finance industry
Demonstrated project management skills and strong organization skills with ability to balance multiple projects simultaneously
Ability to think critically in improving and developing products
Growing curiosity about the world of data and using data to drive actions
Solid attention to detail and experience in logical thinking & problem solving through school/work/internship
Ability to communicate effectively and articulate thought process clearly
Business proficiency and fluency in English & Bahasa Indonesia to manage the respective clients

We'd love to see:

12 years work experience in asset management and/or finance industry
Experience with the Funds Market and strong knowledge of the key concepts for this product
Demonstrated proficiency with Git, SQL, and Python through work experience and/or projects
Prior experience configuring or developing microservices in a business environment.
Certified Data Management Professional (CDMP) designation
Chartered Financial Analyst (CFA) designation
Previous work experience with the Bloomberg Terminal, or Bloomberg Market Concepts (BMC) certification

Does this sound like you?
Bloomberg is an equal opportunity employer and we value diversity at our company.

We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.