Senior Data Management Professional – Finance

Our Company is looking for a Data Engineer who can combine 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 outcomes. You are expected to use your skills to help drive the next generation of Company Financials products, combining 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 other Company 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 global company 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:

A bachelor’s degree or above in Statistics, Computer 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 institutions*
Experience 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 verbal communication 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 Bloomberg Company 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
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!