At a Glance
- Tasks: Lead data management and enhance AI products with high-quality training datasets.
- Company: Bloomberg, a leader in financial data and innovative technology.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on cutting-edge technology.
- Why this job: Join a dynamic team driving AI innovation in the financial sector.
- Qualifications: Bachelor's degree in STEM and 4+ years in data management.
The predicted salary is between 48000 - 72000 £ per year.
Senior Data Management Professional - Data Engineering
Location: London
Business Area: Data
Ref # 10044247
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 innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing customer support to our clients.
Our Team:
The Bloomberg Data AI group brings innovative AI technologies into Bloomberg\'s Data organization while supplying deep financial domain expertise to the development of AI-powered products. We partner closely with team members to align AI innovation with Bloomberg\'s strategic objectives, focusing on optimizing data workflows and elevating the quality, intelligence, and usability of the data that drives our products. Our work amplifies the impact of the Data organization by delivering intelligent data solutions and domain-informed systems that improve the capabilities and competitiveness of Bloomberg\'s offerings.
What\'s the Role?
A Senior Data Management Professional (DMP) is a key role within our organization responsible for providing domain expertise in both financial concepts and annotation program management, to the development of our AI products. These individuals act as proactive technical leaders by setting the framework in achieving quality and consistency in the evaluation and training datasets for models that power our AI-enhanced products, and delivering scalable governance in annotation program management across Bloomberg Data. Beyond governing data processes and being problem solvers, they are expected to transform the responsibilities of the team and scale the impact beyond what\'s possible today.
The role in the Data AI Annotation team covers all annotation program components in developing the evaluation and training of AI models at Bloomberg. Being responsible for the quality of the annotated data, and product quality will be a crucial part of the role, with key work spanning ownership around consensus management, adjudication, and instruction and task design. The team is a critical partner in ensuring the stability and growth of the company which relies on bringing new technology to customers with increased interests in Artificial Intelligence.
We\'ll trust you to:
Build strategies to analyze processes and data engineering questions to ensure our datasets are fit-for-purpose.
Safeguard the creation of high-quality training data for generative AI models in collaboration with the annotation project coordinator.
Collaborate on database schema design and configure ETL pipelines to onboard new data sets.
Leverage data annotation tools and platforms, including labeling software and data management systems to ensure quality.
Apply domain expertise to inform annotation decisions and ensure high-quality outputs.
Review and further improve annotation guidelines, and promote the development of standard processes in data annotation.
Rely upon data analysis skills to identify trends, patterns, and anomalies, and make informed decisions on annotation approaches.
Lead on problem-solving to resolve sophisticated annotation challenges and ensure data quality.
Stay up-to-date with industry trends and standard methodologies in data annotation and finance/news.
Be ready to take a hands-on role in project and product coordination when needed- with input from Technical specialist, Annotation manager and Senior annotators.
You\'ll need to have:
- A bachelor\'s degree or above in Statistics, Data Analytics and Data Science or other STEM related fields.
- A minimum of four years of demonstrable experience in data management concepts such as data engineering, data quality and data modeling.
- Demonstrable experience in Data Profiling/Analysis/Engineering using tools such as SQL and Python or R.
- Experience using data visualization tools such as Tableau, Qlik Sense or Splunk.
- Past projects that involved owning financial datasets, or other demonstrable work with financial-market concepts.
- Proficiency in discussing technical concepts and experience evaluating trade-offs in design with Engineering and Product.
- Extensive experience in communicating results in a clear, concise manner using data visualization tools.
- Consistent track record in taking a logical approach and applying critical thinking skills in order to address problems.
We\'d Love to See:
DAMA CDMP or DCAM certifications.
Keen interest and familiarity with generative AI frameworks.
Understanding of the importance of high quality annotations.
Experience in using Bloomberg Data, Bloomberg Terminal, and/or enterprise financial data products.
Interest in solving problems and developing data-driven methodologies for high precision & high recall anomaly detection.
Past project experience using the Agile/Scrum project management methodology.
Senior Data Management Professional - Data Engineering in Camden Town employer: Bloomberg
Bloomberg is an exceptional employer, particularly for those in the Senior Data Management Professional role, offering a dynamic work culture that thrives on innovation and collaboration. Located in London, employees benefit from a vibrant city atmosphere while engaging in cutting-edge AI technologies that enhance financial data solutions. With a strong emphasis on professional growth, Bloomberg provides ample opportunities for skill development and career advancement, making it an ideal place for individuals seeking meaningful and rewarding employment in the data engineering field.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Management Professional - Data Engineering in Camden Town
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data management and engineering. We want you to showcase your problem-solving skills and domain expertise!
✨Tip Number 3
Showcase your projects! Bring examples of your past work, especially those involving financial datasets or AI models. This will help us see your hands-on experience in action.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Senior Data Management Professional - Data Engineering in Camden Town
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Data Management Professional role. Highlight your data engineering expertise and any relevant financial concepts you've worked with. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data management and how your background makes you a perfect fit for this role. Don't forget to mention any experience with AI technologies or data annotation, as it's super relevant to what we do.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex data challenges in the past. We love candidates who can think critically and come up with innovative solutions, so share those stories that demonstrate your problem-solving prowess!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you'll find all the details about the role and our company culture there, which can help you tailor your application even further!
How to prepare for a job interview at Bloomberg
✨Know Your Data Inside Out
Make sure you brush up on your data management concepts, especially around data engineering and quality. Be prepared to discuss your experience with SQL, Python, or R, and how you've used these tools in past projects. This will show that you not only understand the technical side but can also apply it effectively.
✨Showcase Your Problem-Solving Skills
Since the role involves tackling complex annotation challenges, come ready with examples of how you've approached similar problems in the past. Highlight your critical thinking skills and how you've used data analysis to identify trends or anomalies. This will demonstrate your ability to think on your feet.
✨Familiarise Yourself with AI Trends
Stay updated on the latest trends in AI and data annotation. Being able to discuss current methodologies and frameworks will not only impress your interviewers but also show your genuine interest in the field. It’s a great way to connect your knowledge with Bloomberg's focus on innovative AI technologies.
✨Prepare for Collaborative Discussions
Collaboration is key in this role, so be ready to talk about your experiences working in teams. Think of examples where you’ve successfully partnered with others to achieve a common goal, especially in relation to data workflows or project coordination. This will highlight your teamwork skills and adaptability.
