Quantitative Product Researcher - Enterprise Data | New York, NY | Bloomberg Careers

Quantitative Product Researcher - Enterprise Data

Careers at Bloomberg

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New York, NY

Posted Apr 24, 2023 - Requisition No. 115767

Bloomberg's Enterprise Data department develops data offerings that are considered outstanding by the capital markets community. Across real-time market data, reference data, historical pricing data, and analytics we offer:

  • The most comprehensive and highest quality content in the industry
  • Distribution platforms that are flexible, reliable, fast, and easy to onboard
  • Easy to use data that is ready for analysis

These datasets serve as a primary source of information across the front, middle, and back offices at the most respected capital markets firms across the globe.

What’s the role?  

Workflows in capital markets are changing rapidly as firms embrace new data-centric approaches to meet demands from clients, requirements from regulators, and challenges from competitors. Bloomberg’s Enterprise Data helps clients achieve all of this by developing new and innovative solutions that synthesize our big datasets, quantitative research expertise, and knowledge of client needs. These products will move the value proposition beyond the traditional data most commonly used across the enterprise today.

We'll expect you to:

  • Uncover opportunities to develop the next generation of products and services and own the development process from end to end
  • Develop prototypes of data-driven products and solutions and be responsible for the outcome throughout user interviews, acquiring feedback, and rapid prototyping
  • Work with the quant research team on prototypes that require a deeper level of machine learning expertise
  • Collaborate with Engineering and Product teams on prototype deployments
  • Stay up-to-date with innovations and industry trends in data science and financial data

You'll need to have:

  • 2+ years of related work experience*
  • Master's Degree
  • Knowledge of financial markets and common use cases of data products
  • Proven proficiency in Python
  • Demonstrated understanding of Data Science and ML techniques

We’d love to see:

  • Deep understanding of quantitative trading workflows
  • Experience applying machine learning to financial modeling problems
  • Experience in prototyping and product development
  • Degree in a quantitative subject area
  • Knowledge of AWS, GCP, and/or Azure data science and machine learning services
  • Experience with tools and frameworks enabling large-scale data analysis (e.g Spark)
  • Ability and willingness to craft documentation and present to a technical and non-technical audience

*Please note we use years of experience as a guide, but we will certainly consider applications from all candidates who are able to demonstrate the skills necessary for the role.

If this sounds like you, please apply!

We'll get in touch with you to let you know next steps. In the meantime, check out https://www.bloomberg.com/company/what-we-do/

Bloomberg is an equal opportunity employer, and we value diversity at our company. We do not discriminate based on 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.

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.

Salary Range: 160,000 - 250,000 USD Annually + Benefits + Bonus

The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.

We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation [Exempt roles only], paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.

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