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 Company Financials team provides our clients with fast and accurate market-moving data so they can stay on top of their game: broker estimates, financial filings, and any other dataset that is useful to understand financial performance in the markets. Our products run on intelligence and industry-specific insights provided by our industry teams. We combine financial modeling, industry expertise, data management, and technical skills to curate critical metrics and drive insights from our data.
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We are dedicated to crafting an outstanding financial analysis and modeling product while constantly looking to improve and expand our existing offering through a deep understanding of the markets we operate in, the sectors we cover, and our clients' current and future needs.
What's the role?
The Company Financials Data Quality team is looking for a highly motivated individual with a passion for finance, data, and technology to build and optimize our data product by developing and implementing our data quality strategy and quality assurance practices. As a Data Management Professional, you will help to develop our business outcome-based data strategies to optimize the value of data for our customers and improve data operations.
We'll trust you to:
- Develop, refine, and complete the strategy for how to achieve best-in-class data quality for the Company Financials data products
- Perform data profiling and apply statistical methods to support data quality measurements
- Collaborate with domain experts in Data, as well as colleagues in Product and Engineering, on implementation strategies to improve data quality
- Lead projects globally to improve data quality across all datasets under Company Financials
- Provide insights and recommendations to enhance decision making capability in business planning, process improvement, and solution management
- Keep up with the industry trends, standards, and innovation in the data quality domain
- Work in a fast paced, multifaceted, and collaborative setting
You'll need to have:
- A BA/BS degree or higher in Computer Science, Mathematics, or relevant data technology field, or equivalent professional work experience
- 4+ years of Python programming and scripting in a production environment
- 4+ years experience in Data Analysis, Financial Market Research, and/or Information Technology
- Sound understanding of data quality as a domain of data management (DAMA CDMP, DCAM certification a plus)
- Demonstrable ability to conduct data profiling and data analysis (using Python is a plus) and visualize results with tools such as Qlik Sense or Tableau
- Strong analytical abilities with passion for data and evidence-based decision-making
- Superb communication and project management skills
- Understanding of basic equity markets concepts and their application to financial data
- Solid ability to combine technical skills with business insight
We'd love to see:
- A Master's degree, equivalent experience, or certification such as a CFA charter holder or CAIA
- Agile/Scrum Project Management experience
- Experience using data analysis and visualization tools such as Tableau or QlikSense
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!
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.
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