Senior Data Management Professional - Data Engineering -pany Financials BIBloomberg runs on data. Our products are fueled by powerful information. Webine 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:
Thepany 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. Webine financial modeling, industry expertise, data management, and technical skills to curate critical metrics and drive insights from our data.
We are dedicated to crafting a best-in-class financial analysis and modeling product while constantly looking to enhance 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?
Thepany Financials Business Intelligence team is looking for a Data Engineer who canbine a deep interest in nuanced, industry-specific data sets with a broad interest in connecting these data sets to drive insights at scale. In this role you will need to demonstrate a strong technical understanding of both data ingestion into and consumption from Business Intelligence software to drive meaningful customer oues. You are expected to use your skills to help drive the next generation ofpany Financials products,bining humans, processes, and technology in novel ways to tackle meaningful problems. You will need to lead and influence partners from various backgrounds; while working closely while working closely with partners across Product Data & Technology, including Product Managers, Engineering and otherpany Financials groups to meet the needs of our external and internal clients.

We'll trust you to:

Proactively create strategies to analyze processes and data quality questions to ensure our datasets are fit-for-purpose Get to know how data moves through a sophisticated system and identify the best ways to constructively and safely expose it to partners Gather feedback from internal and external workflow users including clients, vendors and globalpany financials teams, and synthesize this feedback into a meaningful action plan Understand the software development lifecycle stages, and identify the right-sized solution for the right phase of a product's development Leverage technical knowledge of Bloomberg's proprietary or open-source stack to implement high-standard and innovative solutions

You'll need to have:
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.

A bachelor's degree or above in Statistics,puter Science, Quantitative Finance, or other STEM related field 3+ years of experience in the financial/fintech services industry, including exchanges, market data providers or financial technology institutionsExperience in using object-oriented programming languages (eg. Python) in development or production environment Some experience or familiarity with system architecture - tracking the flow of data through a large and heterogeneous system Familiarity with various databases, schemas, modeling, as well as structured and unstructured formats (PDF, HTML, XBRL, JSON, CSV etc.) Deep familiarity with some Business Intelligence software, whether Qlik Sense, Alteryx, Tableau, or something similar, along with a demonstrated ability understand how it performs under various kinds of load and the inherent tradeoffs in processing data at scale Strong project management skills and ability to prioritize and adapt to tasks accordingly with a customer focused mentality Ability to formulate hypotheses in the face of ambiguity, and to find efficient ways to validate them Powerful collaboration skills to work across departments and regions, excellent written and verbalmunication skills
We'd love to see:
Advanced degree in a relevant subject and/or Certified Data Management Professional (CDMP, or working towards it) Experience in Bloombergpany Financials products, Bloomberg Terminal fluency, and/or enterprise financial data products Knowledge of advanced statistical methods and/or Machine Learning, Artificial Intelligence, and Natural language Processing in business use-cases