Team Leader - Corporate Bonds Data in London

Team Leader - Corporate Bonds Data in London

London Full-Time No working from home possible
Bloomberg L.P.

At a Glance

  • Tasks: Lead a dynamic team in managing corporate bonds data and drive innovative automation strategies.
  • Company: Join Bloomberg, a leader in financial data and analytics with a vibrant culture.
  • Benefits: Enjoy competitive pay, diverse work environment, and opportunities for professional growth.
  • Other info: Collaborate with top professionals and enhance your career in a fast-paced environment.
  • Why this job: Make a real impact in the finance world while developing your leadership skills.
  • Qualifications: 3+ years of leadership experience and a background in data management or related fields.

Location: London

Business Area: Data

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.

The Team: Our Bloomberg New Issues Credit team is responsible for the timely and accurate publication of new bonds being brought to market. Responsibilities also include developing automated pipelines for ingestion and publication of new issue data, enhancing our primary markets dataset, and finding opportunities to expand our data product offering through client engagement. Our New Issues 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’re looking for a strong motivated people leader to manage the Credit Bonds Data team in EMEA. In this role, you’ll be leading a team of data modelling professionals and data engineers who are responsible for the acquisition and publication of data driving many critical products and services across the terminal. You’ll coach and mentor team members, helping drive automation strategies to deliver faster, more accurate data and contribute to the broader product strategy around credit and primary markets. You’ll also provide hands‑on guidance, lead technical discussions, and give direction and feedback to ICs in the team aligning to industry best practices and governance to ensure a future‑proof data model.

We’ll Trust You To:

  • Lead and develop a high-performing team of data professionals, setting clear goals and fostering a culture of feedback, growth, and accountability.
  • Apply cutting edge technologies including LLMs and Agentic AI to deliver higher quality, faster data whilst reducing the dependency on manual processes, helping to deliver cost and efficiency savings.
  • Translate product and business requirements into a coherent data vision that allows us to expand the breadth of coverage, supporting evolving client needs and incorporating best practices of data management.
  • Partner with data modelling teams to leverage corporate bond taxonomies, controlled vocabularies, and ontologies to improve the interoperability of our metadata models.
  • Communicate progress, priorities, and technical concepts clearly across both technical and non-technical stakeholders.
  • Partner with Product, Engineering, and SMEs and influence decision makers across the firm to align to shared data standards that improve the consistency of our data and client outcomes.

You’ll Need to Have:

  • Demonstrated leadership capability, with 3+ years of experience managing people or leading large-scale regional projects.
  • Bachelor's degree, preferably in STEM, Economics, a quantitative social science, or related business field, or equivalent experience.
  • Experience in data management related role such as data quality, data modeling and/or data engineering, working with large datasets to quantify trends impacting the industry.
  • Experience with data analysis using tools such as Python, SQL, and/or Tableau / QSEN.
  • Excellent communication skills, allowing you to clearly communicate business needs and to advocate on behalf of your team as well as communicate business and operational strategy to your team.
  • Deep understanding of fixed income credit, particularly focused around corporate bonds.
  • Ability to spot market trends and act on them to enhance depth and breadth of coverage.
  • Ability to demonstrate qualitative and quantitative evidence to drive commercial decisions, and use statistics and data visualization 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.

We’d Love to See:

  • Demonstrated experience in fixed income or financial datasets (especially within credit markets).
  • Prior experience building scalable automation pipelines for data validation and model maintenance.
  • Knowledge of Bloomberg data products and enterprise offerings.

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 - Corporate Bonds Data in London employer: Bloomberg L.P.

Bloomberg is an exceptional employer, offering a dynamic work environment in London that fosters innovation and collaboration among its 20,000+ employees. With a strong focus on employee growth, Bloomberg provides rigorous training and development opportunities, ensuring that team members are well-equipped to excel in their roles. The company's commitment to diversity and inclusion, along with its cutting-edge technology and resources, makes it an attractive place for professionals seeking meaningful and rewarding careers in the financial solutions sector.

Bloomberg L.P.

Contact Details:

Bloomberg L.P. Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Team Leader - Corporate Bonds Data in London

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Bloomberg L.P.!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Team Leader - Corporate Bonds Data at Bloomberg L.P..

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Bloomberg L.P..

Apply Directly through Our Website

When you find a suitable opening like Team Leader - Corporate Bonds Data at Bloomberg L.P., make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Team Leader - Corporate Bonds Data in London

Leadership Skills
Data Management
Data Modelling
Data Engineering
Data Analysis
Python
SQL

Some tips for your application 🫡

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!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Bloomberg L.P., your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Bloomberg L.P.. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Bloomberg L.P.

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Bloomberg L.P.!

Prepare for Case Studies

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.