Bloomberg
Senior Data Management Professional - Data Engineer - Loans Data
Bloomberg, Blue Bell, Pennsylvania, United States
Senior Data Management Professional - Data Engineer - Loans Data
This range is provided by Bloomberg. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $110,000.00/yr - $190,000.00/yr
Location: Skillman
Ref # 10046298
Description & Requirements 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 this data, 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.
Our Team Our Securities Credit Data teams are responsible for the timely and accurate entry of new bonds and loans being brought to market, secondary market review and updates, as well as extensive client facing support. In addition, responsibilities include developing new data pipelines, implementing data validations, reviewing processes for efficiencies, finding opportunities to expand data sets. Our Loans team works closely with internal partners including the Engineering, Core Product, News and Enterprise.
We are committed to delivering best-in-class quality and improving and expanding our Private Credit offerings through a deep understanding of market dynamics alongside our clients' current and future needs.
What’s the role? As a Data Engineer for Loans, you will use your domain expertise to handle and improve the financial data that feeds Bloomberg products, identify innovative workflow efficiencies, implement technical solutions to enhance our systems, products and processes, and establish links with key players in the financial market.
You will be responsible for the data management of our loans product as well as creating pipelines from additional sources, establishing and implementing our automation, data alignment and data quality strategies. You will ensure the best use of our existing Loans data as well as leading the technical implementation of on-boarding new datasets.
You will use your experience to define what a fit-for-purpose data product looks like. You will work to plan and deliver the data modeling and technology strategy and roadmap which should align to the overall product vision.
We’ll Trust You To
Develop data-driven strategies, balancing the best of technical, product, financial and dataset knowledge, and work with our engineering and product departments to craft solutions
Analyze internal processes to find opportunities for improvement, as well as implement innovative solutions
Communicate and collaborate across team members and complementary teams including Engineering, Product, Enterprise Data, and News
Design data models to create data storage solutions for our raw and enriched data and contribute to our data alignment strategy by following the FAIR data principles
Develop data quality strategies for the Loans dataset and implement scalable, lasting solutions
Use data visualization skills to report on results of ongoing operations and projects, as required
You’ll Need To Have
4+ years of programming experience in a development and/or production environment
Proficiency using scripting languages to build pre-processing services that can be integrated in our data pipelines
A proven grasp of data modeling principles and technologies to perform requirements analysis as well as conceptual, logical, and physical modeling
Experience profiling new datasets, and implementing high volume, low-latency ETL pipelines
Understanding of data quality standard methodologies to improve the value of the dataset
Proven track record of effective project management and a customer focused mentality
We’d Like To See
Advanced degree/Master’s degree or equivalent experience in a Finance or STEM subject and/or CFA designation (or working towards it)
Familiarity with use cases of sophisticated statistical methods such as Machine Learning, Artificial Intelligence, and Natural language Processing
Experience designing optimal database structures
Experience working in an Agile development team
Benefits Salary Range = 110000 - 190000 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.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Engineering and Information Technology
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Base pay range $110,000.00/yr - $190,000.00/yr
Location: Skillman
Ref # 10046298
Description & Requirements 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 this data, 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.
Our Team Our Securities Credit Data teams are responsible for the timely and accurate entry of new bonds and loans being brought to market, secondary market review and updates, as well as extensive client facing support. In addition, responsibilities include developing new data pipelines, implementing data validations, reviewing processes for efficiencies, finding opportunities to expand data sets. Our Loans team works closely with internal partners including the Engineering, Core Product, News and Enterprise.
We are committed to delivering best-in-class quality and improving and expanding our Private Credit offerings through a deep understanding of market dynamics alongside our clients' current and future needs.
What’s the role? As a Data Engineer for Loans, you will use your domain expertise to handle and improve the financial data that feeds Bloomberg products, identify innovative workflow efficiencies, implement technical solutions to enhance our systems, products and processes, and establish links with key players in the financial market.
You will be responsible for the data management of our loans product as well as creating pipelines from additional sources, establishing and implementing our automation, data alignment and data quality strategies. You will ensure the best use of our existing Loans data as well as leading the technical implementation of on-boarding new datasets.
You will use your experience to define what a fit-for-purpose data product looks like. You will work to plan and deliver the data modeling and technology strategy and roadmap which should align to the overall product vision.
We’ll Trust You To
Develop data-driven strategies, balancing the best of technical, product, financial and dataset knowledge, and work with our engineering and product departments to craft solutions
Analyze internal processes to find opportunities for improvement, as well as implement innovative solutions
Communicate and collaborate across team members and complementary teams including Engineering, Product, Enterprise Data, and News
Design data models to create data storage solutions for our raw and enriched data and contribute to our data alignment strategy by following the FAIR data principles
Develop data quality strategies for the Loans dataset and implement scalable, lasting solutions
Use data visualization skills to report on results of ongoing operations and projects, as required
You’ll Need To Have
4+ years of programming experience in a development and/or production environment
Proficiency using scripting languages to build pre-processing services that can be integrated in our data pipelines
A proven grasp of data modeling principles and technologies to perform requirements analysis as well as conceptual, logical, and physical modeling
Experience profiling new datasets, and implementing high volume, low-latency ETL pipelines
Understanding of data quality standard methodologies to improve the value of the dataset
Proven track record of effective project management and a customer focused mentality
We’d Like To See
Advanced degree/Master’s degree or equivalent experience in a Finance or STEM subject and/or CFA designation (or working towards it)
Familiarity with use cases of sophisticated statistical methods such as Machine Learning, Artificial Intelligence, and Natural language Processing
Experience designing optimal database structures
Experience working in an Agile development team
Benefits Salary Range = 110000 - 190000 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.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Engineering and Information Technology
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