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- Tasks: Manage key accounts and ensure quality data delivery for Mutual Funds.
- Company: Bloomberg is a global leader in data and analytics, providing powerful information to clients.
- Benefits: Enjoy opportunities for remote work, professional development, and a dynamic team environment.
- Why this job: Join a team that values innovation, relationships, and continuous improvement in the finance sector.
- Qualifications: Bachelor's degree or equivalent experience; 2+ years in relevant fields; strong communication skills.
- Other info: Ideal for those passionate about data technology and client relationships.
The predicted salary is between 43200 - 72000 £ per year.
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes.
Technical Account Managers deliver exceptional service and support to our content partners and customers to ensure Bloomberg is the platform of choice for the distribution of their content. As part of the team, you will be responsible for ensuring delivery of quality data for the Mutual Funds and ETP product. We are focused on finding opportunities to improve our coverage, completeness, timeliness, and accuracy for the facets of funds’ data. Our Technical Account Management team is responsible for the maintenance and calibre of the facets of the funds dataset including pricing and dividends, reference data, corporate actions, documents, and regulatory data.
As a Technical Account Manager, your responsibility will be to develop subject matter expertise in your market, build and strengthen Bloomberg’s relationships with fund houses, custodians, administrators, exchanges, and third party content partners to set up sustainable data pipelines, educate them to use best data dissemination practices, stay on top of the latest industry trends, and having a complete profile for all the funds available on Bloomberg.
We’ll trust you to:
- Manage our highest priority accounts with critical content partners
- Provide outstanding support to our content partners so that they trust us with their valuable content
- Learn from content partner interaction to be able to anticipate content partner needs
- Establish, maintain and improve relationships with Content Partners to develop and implement technologies/workflows and facilitate efficient onboarding of new data sets
- Play a key role in implementing our data rights and entitlements while understanding downstream impacts
- Prioritize and manage projects with multiple partners to improve efficiency and return on investment
- Partner with internal Content Relationship Managers to understand themes/challenges partners are raising during their relationship with Bloomberg and work to build long term solutions
- Take ownership of any opportunities to improve our data products, acquire new content or enhance the customer experience
- Proactively manage campaigns to stay engaged with content partners and maintain the quality and reliability of contributed content. Support colleagues with campaigns to ensure a high standard is reached across the team
- Balance the best of technical and product knowledge to implement solutions for content partners
- Write detailed, accurate and complete specifications/requirements
You’ll need to have:
- A bachelor's degree or higher in relevant data technology or financial field, or equivalent professional work experience
- Minimum of 2 years of relevant experience (external and internal experience)
- Excellent written and verbal communication skills
- Proven experience of relationship management
- Effective project management skills and ability to prioritize tasks accordingly
- Ability to isolate issues and resolve problems logically while identifying long term solutions to limit such issues arising again
- Ability to adapt within a fast-paced and dynamic environment, and desire to work on multidisciplinary teams
- Drive for continuous improvement to further develop our products
We’d love to see:
- Master's degree or certification such as a CFA charter holder or CAIA
- Experience in customer service or client relationship management
- 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? Apply if you think we’re a good match. We’ll get in touch to let you know what the next steps are!
Contact Detail:
Job Traffic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical Account Manager - Mutual Funds
✨Tip Number 1
Familiarise yourself with Bloomberg's products and services, especially those related to Mutual Funds and ETPs. Understanding the specifics of their data offerings will help you engage more effectively during interviews and demonstrate your genuine interest in the role.
✨Tip Number 2
Network with current or former Technical Account Managers at Bloomberg or similar companies. They can provide valuable insights into the role and the company culture, which can help you tailor your approach when applying.
✨Tip Number 3
Stay updated on industry trends and challenges in the financial data sector. Being knowledgeable about current events and innovations will allow you to speak confidently about how you can contribute to Bloomberg's success.
✨Tip Number 4
Prepare to discuss specific examples of how you've successfully managed client relationships or projects in the past. Highlighting your problem-solving skills and ability to improve processes will resonate well with the hiring team.
We think you need these skills to ace Technical Account Manager - Mutual Funds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data technology or financial fields. Emphasise any roles where you've managed client relationships or worked with data products, as these are crucial for the Technical Account Manager position.
Craft a Compelling Cover Letter: In your cover letter, demonstrate your understanding of Bloomberg's role in the data industry. Mention specific experiences that showcase your problem-solving skills and ability to manage relationships with content partners.
Showcase Communication Skills: Since excellent written and verbal communication skills are essential, ensure your application is free from errors and clearly articulates your thoughts. Use concise language and structure your application logically.
Highlight Project Management Experience: Detail any project management experience you have, especially in relation to managing multiple partners or projects simultaneously. This will show your ability to prioritise tasks and improve efficiency, which is key for this role.
How to prepare for a job interview at Job Traffic
✨Know Your Data
As a Technical Account Manager, you'll be dealing with complex data sets. Make sure you understand the fundamentals of mutual funds and ETPs, as well as Bloomberg's specific offerings. Brush up on key terms and concepts to demonstrate your expertise during the interview.
✨Showcase Relationship Management Skills
This role heavily relies on building and maintaining relationships with content partners. Prepare examples from your past experiences where you've successfully managed client relationships or resolved conflicts. Highlight your communication skills and ability to anticipate partner needs.
✨Demonstrate Problem-Solving Abilities
Be ready to discuss how you've approached problem-solving in previous roles. Think of specific instances where you identified issues and implemented long-term solutions. This will show your analytical skills and your ability to thrive in a fast-paced environment.
✨Prepare for Technical Questions
Since the role requires a balance of technical and product knowledge, expect questions related to data technology and analytics. Familiarise yourself with tools like SQL and Excel, and be prepared to discuss how you've used them in your work to improve processes or data quality.
