At a Glance
- Tasks: Lead a team to manage and enhance sovereign debt data processes.
- Company: Bloomberg, a leader in financial data and analytics.
- Benefits: Competitive salary, diverse workplace, and opportunities for professional growth.
- Other info: Join a dynamic team focused on data quality and operational excellence.
- Why this job: Make an impact in global finance with innovative technology and data solutions.
- Qualifications: 3+ years in data management and proven leadership skills required.
The predicted salary is between 59400 - 72600 £ 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 workflow efficiencies and implement technology solutions to enhance our systems, products, and processes.
Our Team: Sovereign debt is the cornerstone of global finance and the largest and most liquid asset class in fixed income. We work closely with Treasuries and Central Banks around the world to onboard their debt securities on Bloomberg in a timely manner, ensuring excellent data quality. Information about the issuance of bonds by governments is time-sensitive and often market-moving, and something a lot of our clients track carefully. By using technology, domain expertise, and relationships with Issuers we aim to be the best data and analytics platform in the market.
What’s the role? 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.
We’ll trust you to:
- Recruit, mentor, and develop a team of domain experts and data management professionals who are experts in financial data, data analysis, and project management.
- Lead large-scale programs (technical and operational) with enterprise-wide impact through effective data governance, cross-team organization, dependency, risk management, and leadership engagement.
- Identify and implement improvements to schemas, workflows, automated data ingestion pipelines and operational processes.
- Ensure dataset consistency and quality while effectively collaborating with external and internal clients.
- Have strong technical skills (python, UNIX, GitHub, data visualization tools) and proven ability in developing automated data ingestion pipelines.
- Participate in technical discussions and provide insights on system design, code reviews and other relevant areas.
You’ll need to have:
- 3+ years of relevant professional experience with proven leadership skills.
- Experience in data management related role such as data quality, data modelling and/or data engineering.
- Expert-level knowledge of data processing paradigms and associated tools and technologies.
- Experience leading product/technical strategies, managing complex projects, and leadership ability in change management and influencing others.
- Strong interpersonal skills, allowing you to clearly communicate business needs and effectively engage with various stakeholders.
- Creative and flexible approach to problem solving, aided by strong data analysis skills.
We’d love to see:
- Experience in semantic data modelling.
- Understanding of data governance and data management standard processes.
- Solid understanding of the multifaceted impact of third-party data.
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.
If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.
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.
Team Leader - Sovereign Debt Data in London employer: Bloomberg
Bloomberg is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. With a strong emphasis on employee growth, you will have access to numerous professional development opportunities while working in a cutting-edge environment that values your contributions to the data manufacturing infrastructure. Located in a vibrant city, Bloomberg provides unique advantages such as a diverse workforce and a commitment to work-life balance, making it a rewarding place to advance your career.
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We think you need these skills to ace Team Leader - Sovereign Debt Data in London
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Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
