Risk Product Analyst - Enterprise Data

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New York, NY

Posted Apr 24, 2024 - Requisition No. 124828

What is Bloomberg Enterprise Data?

We are Bloomberg Enterprise Data - fast paced, innovative and expanding!  We partner closely with our clients, taking time to understand their unique businesses and individual data and financial technology (FinTech) needs. Our endless selection of datasets, covering all asset types, with multiple delivery technologies and flexible scheduling enables our clients to get exactly the data they need, when they need it, in the format they prefer. Put simply, our award-winning data powers the capital markets.

The Role:

We are looking for a Product Analyst in Enterprise Data to closely interact and work with various stakeholders to be the gatekeeper and ensure the data quality for product development, launch and enhancement. You will use your quantitative skills, knowledge of finance, risk management ,pricing, and programming skills to conduct data analysis for our most innovative products. This includes, but is not limited to Risk & Investment Analytics products , Market implied probability of default(MIPD), Fund Risk & ESG Analytics, Physical Risk Indicators, Fixed income holiday pricing and other Bloomberg Data License products.  

We’ll trust you to:

  • Perform data analysis on a large scale of datasets
  • Prepare exploratory data analysis including statistical and visual summaries, assess data and product quality, identify product weakness, and propose potential enhancements.
  • Communicate results to product managers 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 like monitoring of daily production data generation.

You’ll need to have:

  • Master’s degree in quantitative discipline (financial engineering, statistics, computer science, finance, engineering, etc)
  • 3+ years of experience in analytical fields such as data science, quantitative analysis, model validation, data mining*
  • working experience with clients , business managers or product managers in Identifying their needs and taking proactive steps to effectively communicate project processes.
  • working experience with risk management related products for areas in liquidity risk, credit risk, climate risk, physical risk and ect.
  • Programming skills in Python and SQL
  • Statistics and mathematical knowledge to perform quantitative analysis
  • Experience gathering, matching, and pre-processing large data sets from varied sources and of different characteristics
  • Attention to data integrity

*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.

Does this sound like you?

Apply if you think we're a good match and we'll get in touch with you to let you know next steps. In the meantime, check out http://www.bloomberg.com/professional. Enterprise Data page: https://data.bloomberg.com/

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.

Salary Range: 110,000 - 225,000 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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