Bloomberg

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.

The 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 equity 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.

We are dedicated to crafting a best-in-class 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 Data Engineer with a passion for Data Science and a deep interest in connecting diverse multifaceted, industry-specific data sets to drive product insights at scale. In this role you will need to develop a strong technical and practical understanding of how data is ingested into and consumed from our data processing and delivery technology stack to drive important customer outcomes. You are encouraged to use this knowledge to drive the evolution of our data anomaly detection systems to reduce errors in client-facing data, in part by analyzing large volumes of data and ensuring that it is ready to use. In order to do this, you'll lead and influence partners with varying levels of technical and product expertise, across Product, Data & Technology.

We'll trust you to:

• Proactively build 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

• Capture 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

• 4+ years of experience in the financial/fin tech services industry, including exchanges, market data providers or financial technology institutions

• Experience, either in a professional or academic setting, of getting data into and out of machine learning models, as well as a demonstrated ability to explain how they work with their respective trade offs

• Some experience or familiarity with system architecture - tracking the flow of data through a large and heterogeneous system

• Confidence, as well as proven ability and coding experience, in using object-oriented programming languages (eg. Python) in development or production environment to address data quality issues

• Familiarity with various databases, schemas, modeling, as well as the ingestion of structured and unstructured formats (PDF, HTML, XBRL, JSON, CSV etc.)

• Strong project management skills and ability to prioritize and adapt to tasks accordingly with a customer focused mentality

• Ability to formulate sound 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/Master’s degree in a Finance or STEM subject and/or Certified Data Management Professional (CDMP) designation

• Experience in Bloomberg Company Financials products, Bloomberg Terminal fluency, and/or enterprise financial data products

• Familiarity with use cases of sophisticated statistical methods such as Machine Learning, Artificial Intelligence, and Natural Language Processing

• Someone who has experience developing methodologies for high precision & high recall anomaly detection for non-normally distributed, high frequency data