Hong Kong Job Openings
Bloomberg
Technical Account Manager - Mutual Funds & ETFs - Hong Kong
September 20, 2024
Our Team:
With global assets under management in the hundreds of trillions of dollars, one of the primary areas for investment is in the mutual and exchange traded funds space. As a team, we are responsible for acquiring, ingesting, normalising and presenting market data pertaining to funds onto the Bloomberg Terminal and Enterprise products. One of the key factors in this data flow is establishing and maintaining positive relationships with fund managers and other data providers in the funds industry. Our data coverage includes performance data such as pricing and assets, reference data such as strategy and fees, along with regulatory reporting requirements including ESG. Joining the Data department means that you are a part of one of the world's leading sources of data, providing accurate, immediate insights for financial market professionals. You will enhance your product knowledge, work closely with our clients and understand their needs, and build relationships throughout the company, all while helping our clients get access to a market leading fund data platform.
What’s the role?
There are around half a million funds in the market, each with various structures and characteristics to meet the unique needs of investors. As a Technical Account Manager in the Funds team, you’ll work alongside a Team Leader to improve our Funds dataset in the market you directly cover and also on a global scale by working together with global stakeholders from engineering, product and sales. This includes, but is not limited to, speaking publicly with fund houses and contributors to procure data in a strategic way, configuring ETL pipelines, and contribute business rules and quality workflows to ensure high data quality. This is in addition to maintaining and growing a knowledge of funds data processes and client engagement.
We'll trust you to:
- Proactively and strategically work together with fund houses, regulators and central data providers to improve Bloomberg's Funds Dataset
- Acquire, update & maintain high-quality funds data using various internal systems, proprietary company software and your own technical skillset
- 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
- Ensure that the added value to our clients is the biggest driver behind the projects you manage
- Translate input from interactions with clients into improvements to our dataset which you are at times expected to drive
You'll need to have:
- Mandarin Chinese proficiency to confidently support and handle complex conversations with clients
- A bachelor's degree or higher in relevant data technology or financial field, or degree-equivalent qualifications
- Minimum 2-5 years of experience working as a data analyst or in the asset management and/or finance industry
- Excellent written communication and presentation skills
- Ability to think critically in improving and developing products
- Strong organization skills with ability to balance multiple projects simultaneously
- Demonstrated data experience, for example management, governance or quality assurance of data
- Demonstrated interest in relationship management, and the ability to establish, maintain and improve relationships with our Content Partners
- Comfort with a high degree of autonomy, and shown ability in managing priorities from multiple internal and external partners
- Ability to work independently & in a team environment under deadlines, demonstrating self-motivation
We’d love to see:
- Master's degree or certification such as a CFA charter holder or CAIA
- Experience working with international business groups and clients
- Knowledge in information technology and statistical analysis or computer programming for example Excel, SQL, and/or Python
Does this sound like you?
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