At a Glance
- Tasks: Build relationships and enhance corporate bond data through strategic thinking and collaboration.
- Company: Bloomberg, a leader in data-driven technology and analytics.
- Benefits: Competitive salary, diverse workplace, and opportunities for professional growth.
- Other info: Join a dynamic team focused on collaboration and continuous improvement.
- Why this job: Make an impact in financial markets while working with innovative technology.
- Qualifications: 5+ years in fixed income markets and strong problem-solving skills.
The predicted salary is between 60000 - 80000 £ per year.
Location: London
Business Area: Data
Description & Requirements
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 workflow efficiencies and implement technology solutions to enhance our systems, products, and processes.
Our Team:
Our Fixed Income Data team is responsible for the timely and accurate publication of new bonds being brought to market and updating its data through the lifecycle. Responsibilities also include developing automated pipelines for ingestion and publication of data, enhancing our primary markets dataset, and finding opportunities to expand our data product offering through client engagement. Our team works closely with internal consumers of our data including the News, Evaluated Pricing, and Index teams. We also heavily collaborate with our counterparts in Product, Sales & Engineering.
What’s the role?
We are looking for a Senior Technical Account Manager to help build and maintain relationships with banks, third parties and industry groups to ensure the high quality, accurate and consistent acquisition of corporate bond data. You will apply strategic thinking and client understanding, working with our technical partners across Data and Engineering, to solve problems and continually look for opportunities to improve the value of our corporate bond data offering. You will be responsible for looking for new content partners and opportunities that will enhance and complement our dataset. As an experienced member of the corporate bonds group you will be expected to help mentor and develop other members of the team.
We'll Trust You To:
- Understand financial markets and client needs to help drive the new issues data product strategy
- Develop and maintain strong relationships with content partners and consumers to ensure market leading coverage and depth of corporate bond data
- Contribute to the design and development of automated solutions for data ingestion, standardization, and enrichment
- Collaborate with Engineering to develop our API offering and showcase to clients
- Collaborate with a wide variety of external partners and internal departments including Engineering, Product and Sales on strategic product development and execution
- Define, measure and manage impact of your work using statistics and data visualization tools
- Build quality data workflows to verify and validate third party data
- Communicate with impact, ensuring relevant information is articulated in a meaningful way to wide and varied audiences, including senior executives
You’ll Need to Have:
- 5+ years of fixed income market experience in either buy-side or sell-side role with a strong understanding of primary market data processes
- Strong problem-solving skills, particularly to modify and improve processes and workflows
- Excellent written and verbal communication skills to explain technical processes and solutions to business partners and management
- High attention to detail and degree of shown decision-making and problem-solving skills
- Ability to work independently as well as in a multi-functional team environment
- Proven ability to influence others and lead change
We’d Love to See:
- Agile/Scrum Project Management experience
- Experience using data analysis and visualization tools such as Tableau or QlikSense
If this sounds like you: Apply! If you think we're a good match. We'll get in touch to let you know the next steps!
Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.
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. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process.
Senior Technical Account Manager - Corporate Bonds in London employer: Bloomberg
Bloomberg is an exceptional employer, offering a dynamic work environment in the heart of London where innovation and collaboration thrive. With a strong focus on employee growth, we provide opportunities for mentorship and professional development within our Fixed Income Data team, ensuring that every team member can contribute to and benefit from our cutting-edge data solutions. Our commitment to diversity and inclusion, alongside a culture that values problem-solving and strategic thinking, makes Bloomberg a rewarding place to build a meaningful career.
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We think this is how you could land Senior Technical Account Manager - Corporate Bonds in London
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We think you need these skills to ace Senior Technical Account Manager - Corporate Bonds in London
Some tips for your application 🫡
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How to prepare for a job interview at Bloomberg
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with Bloomberg.
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