At a Glance
- Tasks: Lead a team in managing and delivering high-quality regulatory data.
- Company: Bloomberg is a global leader in financial data and analytics.
- Benefits: Enjoy a dynamic work culture, mentorship opportunities, and collaboration with diverse teams.
- Why this job: Make a real impact on financial markets while developing your leadership skills.
- Qualifications: 3+ years in leadership or relevant data management experience; proficiency in Python, SQL, or Tableau.
- Other info: Work in London and be part of a team that champions inclusivity and innovation.
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.
Our Regulations team is responsible for acquiring and providing key regulatory data to our clients. We collect, analyse, process and publish the data which is the backbone of our iconic Bloomberg Terminal - the facts and figures which ultimately move the financial markets. Reference data for regulatory reporting plays an ever-increasing role in our clients' workflows, and the Data team fulfills a meaningful function in supporting Bloomberg users with regulatory change. We analyse regulation, determine the reference data needs, and make this data available on the Terminal in order to support the regulatory reporting needs of our clients. We are the cornerstone of several of Bloomberg's regulatory solutions.
Regulations is looking for a highly motivated and driven Team Leader to cover data management, data quality and data processes. You will play a critical role in developing and leading a team of data professionals with diverse experience and expertise spanning across several functions and subject matter areas. You will guide your teams to think strategically, apply data management best practices to their data sets, and to deliver quality data that is ready to use and fit for purpose. You are also expected to drive and instil a dynamic culture, as well as proactively champion inclusive behaviour by building a safe environment where differences are recognised, respected and able to thrive. In doing so, you'll build a close partnership with Engineering, Product, Enterprise and other departments.
We'll Trust You To:
- Recruit, mentor, and develop a team of domain experts and data management professionals through processing time-sensitive, high-quality financial data, data analysis, and project management.
- Partner with other data and core business groups, such as Enterprise Product, Product, Sales, News and Engineering to help develop and improve fit-for-purpose data that powers our products.
- Design and implement proactive data quality management supported by client-focused metrics and process observability.
- Develop data modelling and ETL skills within the team and collaborate with Engineering teams to develop a robust data product that can deliver value across multiple client-facing products.
- Build processes and standards that enable delivery of data that meets or exceeds client SLAs and supports superior customer service.
- Develop the team's subject matter and data expertise, aligning to the current industry best practice and trends to be able to proactively spot gaps and opportunities for future innovations.
- Collaborate with global counterparts to evolve the workflow and operating procedures to ensure consistency in data quality across regions and product.
You’ll need to have:
- 3+ years of relevant leadership experience or strong relevant experience as an individual contributor.
- Demonstrable experience in data management related role such as data quality, data modelling and/or data engineering.
- Demonstrable experience with data analysis using tools such as Python, SQL, and/or Tableau.
- Understanding of regulations and the impact on financial markets.
- Ability to spot market trends and act on them to enhance depth and breadth of coverage.
- Experience working with large datasets to quantify trends impacting the industry.
- Ability to demonstrate qualitative and quantitative evidence to drive commercial decisions.
- Use statistics and data visualisation skills to report on results of ongoing operations and projects, as required.
- Strategic vision to align team goals around providing outstanding service to the business and other internal/external clients, and the ability to implement a business and people strategy which delivers on that vision.
- Proven ability to establish strong credibility and build influential relationships with multiple internal and external partners.
Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.
We'd love to see:
- Strong understanding of the multifaceted impact of financial data.
Please note that if you are NOT a passport holder of the country for the vacancy you might need a work permit. Bank or payment details should not be provided when applying for a job. All applications should be made via the 'Apply now' button.
Team Leader - Regulations Data employer: Bloomberg
Contact Detail:
Bloomberg Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Team Leader - Regulations Data
✨Tip Number 1
Familiarise yourself with Bloomberg's products and services, especially those related to regulatory data. Understanding how your role as a Team Leader fits into the bigger picture will help you articulate your vision and strategies during interviews.
✨Tip Number 2
Network with current or former employees in similar roles. They can provide insights into the company culture and expectations, which can be invaluable when preparing for your interview.
✨Tip Number 3
Brush up on your data management skills, particularly in areas like data quality and data modelling. Being able to discuss specific examples of how you've successfully managed data processes will set you apart from other candidates.
✨Tip Number 4
Demonstrate your leadership abilities by preparing examples of how you've mentored teams or driven cultural change in previous roles. Highlighting your experience in building inclusive environments will resonate well with the values of the company.
We think you need these skills to ace Team Leader - Regulations Data
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant leadership experience and skills in data management, data quality, and data analysis. Use specific examples that demonstrate your ability to lead teams and manage data effectively.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and how your experience aligns with the role of Team Leader - Regulations Data. Mention your understanding of financial regulations and how you can contribute to Bloomberg's mission.
Showcase Technical Skills: Clearly outline your proficiency in tools like Python, SQL, and Tableau. Provide examples of how you've used these tools in previous roles to analyse data or improve processes.
Demonstrate Leadership Qualities: Highlight your experience in mentoring and developing teams. Discuss how you've fostered an inclusive culture and built strong relationships with stakeholders in past positions.
How to prepare for a job interview at Bloomberg
✨Showcase Your Leadership Skills
As a Team Leader, it's crucial to demonstrate your leadership experience. Prepare examples of how you've successfully led teams in the past, focusing on mentoring and developing team members, as well as driving results.
✨Understand Data Management Best Practices
Familiarise yourself with data management principles, especially in relation to data quality and modelling. Be ready to discuss how you would implement these practices within the team to enhance data processes.
✨Demonstrate Technical Proficiency
Since the role involves data analysis, ensure you can speak confidently about your experience with tools like Python, SQL, and Tableau. Prepare to discuss specific projects where you've used these tools to drive insights.
✨Highlight Collaboration Experience
The role requires working closely with various departments. Be prepared to share examples of how you've successfully collaborated with other teams, particularly in developing data solutions that meet client needs.