Senior Data Management Professional - Data Engineering - Curves

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New York, NY

Posted May 28, 2024 - Requisition No. 125640

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 information, 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 - all while working very closely with our clients.

Our Team:

Sovereign Yield Curves are an important barometer in the financial markets, as they provide an indication of expectations for future interest rates and therefore future economic growth and inflation. They are also used as a benchmark for other debt in the market. We cover over 150 Sovereign yield curves and they are used by thousands of clients daily. The importance of ensuring accurate and timely data is paramount given the impact this has on our clients. We work closely with Treasuries and Central Banks globally in that regard, as well as with the wider Rates Market.

What’s the role?

As a Curves Data Engineer you will be responsible for developing and growing our automated processes, improving existing ETLs, and developing quality controls by using technology solutions. This will also involve close collaboration with Treasuries and Central Banks, as well as internal partners within our Engineering and Product departments.

We'll Trust You To:

  • Have good understanding about yield curves and their importance as well as general fixed income knowledge
  • Use technical skills to develop, scale, and maintain the data pipelines and processes that interact with our databases
  • Effectively collaborate with a variety of internal partners across Data, Engineering, Business, and Sales on strategic product development and execution
  • Use statistics and data visualization to generate insights about ongoing operations and projects and communicate the results effectively
  • Incorporate machine learning and statistics to detect anomalies and drive quality improvements in areas such as accuracy, completeness, consistency, and reliability
  • Communicate with impact, ensuring sophisticated information is articulated in a meaningful way to a varied audience including senior executives
  • Be using technology to solve problems and optimize current processes in areas such as data quality, data acquisition, and workflow automation, alongside domain experts and technical account managers
  • Develop an in-depth understanding of the Curves workflows and how data is used and consumed by our clients
  • Work with clients on ad-hoc basis, either in support of questions around the dataset, or the technology behind it or as part of collaboration on automation projects with various Treasuries and Central Banks

You’ll Need to Have:

  • A BA/BS degree or higher in Computer Science, Mathematics, or relevant Data Technology field, or equivalent professional work experience
  • 4+ years of programming and scripting in a production environment (Python, Javascript, etc)
  • 4+ years of experience working with databases either SQL or NoSQL
  • Understanding of Machine Learning, Applied Statistics, and Data Analytics
  • Understanding and experience of large-scale, distributed systems
  • Strong problem-solving skills, particularly to modify and improve processes and workflows
  • Excellent written and verbal communication skills to explain technical processes and solutions to business partners and management
  • High attention to detail, as well as decision-making and problem-solving skills
  • Ability to work independently as well as in a distributed team environment

We’d Love to See:

  • Agile/Scrum Project Management experience
  • Experience using data analysis and visualization tools such as Tableau or QlikSense

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.

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

Bloomberg provides reasonable adjustment/accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job or to perform your job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you would prefer to discuss this confidentially, please email (Americas), (Europe, the Middle East and Africa), or (Asia-Pacific), based on the region you are submitting an application for.

Salary Range: 110,000 - 170,000 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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