At a Glance
- Tasks: Streamline and automate classification data workflows using cutting-edge technologies.
- Company: Bloomberg, a leader in data-driven technology solutions.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
- Why this job: Transform manual processes into automated systems and make a real impact on data accuracy.
- Qualifications: 4+ years of Python experience and knowledge of AI/ML concepts.
The predicted salary is between 60000 - 80000 € 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 Team
The Classifications team builds and maintains the taxonomies that group companies and securities by business activities and risk profiles. These classifications form the foundation for peer group analysis, benchmarking, and market trend evaluation. When clients compare investment opportunities, evaluate sector exposures, or analyze historical performance, classification data provides the consistent framework that makes these insights possible.
We Enable Clients To:
- Assess how global, regional, or local industry trends affect portfolios
- Compare and report on sector exposures versus peers and benchmarks
- Identify investment opportunities across developed and emerging markets
- Analyze sector and industry contributions to portfolio performance
- Build consistently defined, sector‑based investment and rotation strategies
What’s the role?
As a Classifications Automation Engineer, you will be responsible for streamlining and scaling the delivery of classification data across asset types by designing and implementing automated workflows. You will partner with stakeholders to identify inefficiencies, apply modern technologies (including AI/ML where appropriate), and build solutions that improve data accuracy, consistency, and timeliness. You will play a key role in transforming manual or semi‑manual processes into robust, automated pipelines while developing business intelligence to monitor performance and outcomes.
We’ll Trust You To:
- Analyze and optimize existing workflows, identifying opportunities for automation and scalability
- Design, build, and maintain automated data pipelines and tools to improve efficiency and accuracy
- Evaluate and apply AI/ML/NLP techniques to enhance classification processes and decision‑making
- Partner with Data, Engineering, Product, and Business teams to deliver scalable solutions
- Develop metrics and monitoring to ensure data quality, timeliness, and operational performance
- Understand financial datasets and client use cases to inform automation priorities
You’ll Need To Have:
- 4+ years of Python programming and scripting in a production environment
- Experience building or maintaining automated workflows, pipelines, or data systems
- Knowledge of Artificial Intelligence (AI), Natural Language Processing (NLP), or Machine Learning (ML) concepts
- Strong analytical thinking and problem‑solving skills with attention to detail
- Effective communication and collaboration skills across technical and non‑technical teams
- Adaptability and a proactive approach to driving change and improvement
We’d Love To See:
- Experience with Agile development methodologies (e.g., Scrum)
- Familiarity with the Bloomberg Terminal
- Knowledge of financial markets and instruments
- Experience with data visualization or BI tools such as Tableau or Qlik Sense
Senior Data Management Professional - Automation Engineer - Classifications employer: Bloomberg
Bloomberg is an exceptional employer, offering a dynamic work environment in the heart of London where innovation and collaboration thrive. As a Senior Data Management Professional, you will benefit from a culture that prioritises employee growth through continuous learning opportunities and cutting-edge technology, while also enjoying competitive compensation and a commitment to work-life balance. Join us to be part of a team that not only drives efficiency in data management but also empowers you to make a meaningful impact in the financial industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Management Professional - Automation Engineer - Classifications
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to automation and data management. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to automation and data workflows. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Senior Data Management Professional - Automation Engineer - Classifications
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of a Classifications Automation Engineer. Highlight your experience with Python, automated workflows, and any AI/ML projects you've worked on. We want to see how your skills align with what we do!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data management and automation. Share specific examples of how you've improved processes in the past, and let us know why you want to join our team at Bloomberg.
Showcase Your Problem-Solving Skills:In your application, don’t just list your skills—show us how you've used them to solve real problems. Whether it's through automating a tedious task or improving data accuracy, we want to hear about your successes and how they can benefit our team.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s straightforward, and you’ll be able to showcase your application in the best light. Plus, it helps us keep track of all the amazing talent out there!
How to prepare for a job interview at Bloomberg
✨Know Your Data Inside Out
Make sure you’re well-versed in the types of data Bloomberg handles, especially in relation to classifications. Brush up on your knowledge of financial datasets and how they impact investment decisions. This will show that you understand the core of what the role entails.
✨Showcase Your Automation Skills
Prepare to discuss specific examples of automated workflows or pipelines you've built in the past. Be ready to explain the technologies you used, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving abilities.
✨Familiarise Yourself with AI/ML Concepts
Since the role involves applying AI/ML techniques, make sure you can talk about these concepts confidently. Brush up on recent advancements in AI/ML and think about how they could apply to classification processes. This will highlight your proactive approach to leveraging technology.
✨Communicate Effectively
Practice explaining complex technical concepts in simple terms. You’ll need to collaborate with both technical and non-technical teams, so being able to communicate clearly is key. Consider doing mock interviews to refine your communication skills.
