Job Information
Bloomberg Senior Data Management Professional - Data Engineering - Securitized Products Cross Asset Sector in Skillman, New Jersey
The Global Securitized Products Data Team is responsible for researching and supporting a $12 trillion global securitized product market. The securitized product market uses financial engineering to transform a variety of assets (residential and commercial mortgages, auto and equipment leases, managed corporate loan portfolios, credit card debt, and even music royalties) into securities that are structured to meet nearly any investor appetite. Our team supports the full data lifecycle and analytical capabilities, through reverse financial engineering, of all securitized products globally for Bloomberg.
This specific team, Securitized Product Cross Asset Sector Team, focuses on process and product improvements through technical innovations, data modeling, and data management that go across the various securitized products asset sectors as well as across other Bloomberg yellow keys. They work very closely with all of our other Securitized Products teams as well as our Engineering, Data Transformation and Data Management Labs Teams. They are also responsible for growing and developing technical data management expertise across the securitized products data teams globally.
What’s the Role?
As a Data Engineer on the Securitized Products Cross Asset Sector Team, you will leverage your technical skills and domain expertise to identify innovative workflow efficiencies, create & improve ETL processes, developing quality controls, and code & maintain workflow configurations across the Securitized Products Data Teams and in-line with Bloomberg Data as a whole. You will work closely with all our other Securitized Products teams globally as well as with our Engineering partners, Data Product Managers, Data Transformation Team, and Data Management Labs Teams to understand our dataset requirements and implement holistic, sustainable technical solutions.
We’ll trust you to:
Analyze internal processes to find opportunities for efficiencies and providing increased value to external and internal clients
Enhance, build, and maintain database schemas and dataset ETL workflows
Enhance, build, and maintain data quality workflows
Understand customer needs and Securitized Products markets to ensure our dataset and processes are fit-for-purpose to provide ready to use information
Communicate and collaborate across teams both within Securitized Products and with our various partners in Engineering, Data, and Product
You’ll need to have:
Bachelor’s degree or higher in Computer Science, Quantitative Finance, or relevant data technology field, or equivalent professional work experience
3+ years of programming (Python preferred) in a production environment
Proficiency using scripting languages to build pre-processing services and query large datasets
Broad understand of Fixed Income markets, preferably Securitized Products
Excellent project management skills and the ability to multi-task in a fast-paced environment
Ability to work independently as well as in a team environment
We’d love to see:
Demonstrated Securitized Products knowledge
Strong knowledge of statistics to model and measure data quality of large interconnected datasets
Knowledge of AI, NLP, and Machine Learning frameworks
Experience working in an Agile development team
Experience in conducting technical training and mentoring others
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.
Salary: 110000,170000,USD,Annual