Product Data Science - Enterprise Data | New York, NY | Bloomberg Careers

Product Data Science - Enterprise Data

Careers at Bloomberg

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New York, NY

Posted Aug 2, 2022 - Requisition No. 106018

We’re Bloomberg Enterprise Data - fast paced, innovative and expanding. We have worked hard and smart to become the $1bn business we are today. We partner closely with our clients, taking time to understand their unique businesses and individual data and technology needs. Our endless selection of datasets, covering all asset types, with multiple delivery technologies and flexible scheduling mean our clients are able to get exactly the data they need, when they need it, in the format they prefer. Without us, they simply can’t operate. Firms that commit to utilizing only highest-quality data can eliminate the data inconsistencies inherent to working with multiple vendors and lower their costs overall. A partnership with Bloomberg Enterprise Data allows just this, giving them strategic advantage.

What is the role?

We are looking for a motivated self-starter to join Product Data Science in Enterprise Data. The person in this role will have opportunity to closely interact and work with various stakeholders to be the gatekeeper and ensure the highest quality for product development, launch and enhancement. You will use your quantitative skills, knowledge of statistical models and programming skills to conduct model and data analysis for our most innovative products. This includes but not limited to Bloomberg ESG (Environmental, Social, and Governance) products, Risk & Investment Analytics products, and Bloomberg Data License products.  

Bloomberg ESG (Environmental, Social, and Governance) products: Bloomberg build machine learning model which produce Greenhouse Gas emission, water estimation for more than 50,000 companies globally. GHG estimates takes comprehensive model input data and leverages a deep pool of expertise in building machine learning models.

Bloomberg Risk & Investment Analytics (RIA) products: Bloomberg RIA product provide investors with quantitative tools to estimate liquidity risk (Liquidity Assessment or LQA), credit risk (Market implied probability of default or MIPD) , fund risk, climate risk and etc.  The model leverages various input data source like trade data, pricing data, reference data and ect.

Bloomberg Data License Bulk products:  Data License is the technology that delivers Bloomberg’s data content sets, providing reference, pricing and regulatory data across your enterprise and feeding accounting, portfolio management and compliance systems. Bulk products currently cover more than 7000 datasets with over 50 million securities. Data License is built using the latest data science tools and methods, including Tidy Data principles.

We’ll trust you to:

  • Perform data analysis on a large scale of datasets
  • Prepare exploratory data analysis including statistical and visual summaries
  • Assess machine learning model performance, identify model weakness and propose potential model performance enhancements
  • Monitor model stability/performance
  • Communicate results to product managers, quantitative researchers and software developers
  • Collaborate with product, engineering and sales teams on product delivery, task prioritization and product roadmap
  • Answer client questions and address client feedback in product enhancements/bugfixes
  • Conduct product usage analysis to improve data product offerings
  • Contribute to scaling team activities through automation

You’ll need to have:

  • Advanced degree in quantitative discipline (financial engineering, statistics, computer science, finance, engineering, etc)
  • 3 or more years in analytical fields such as data science, quantitative analysis, model validation, data mining
  • Intermediate to Professional programming skills in Python and SQL
  • Solid statistics and mathematical knowledge to perform quantitative analysis
  • Track record of gathering, matching, and pre-processing large data sets from varied sources and of different characteristics
  • The ability to show special attention to data integrity
  • Strong communication skills both written and spoken

If this sounds like you:

Apply if you think you're a good match and we'll get in touch with you to let you know next steps.

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 maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email amer_recruit@bloomberg.net.

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