Senior Data Management Professional - Automation Engineer - Funds - 19750 - Bloomberg
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Bloomberg
Senior Data Management Professional - Automation Engineer - Funds
Location
New York
Business Area
Data
Ref #
10051572
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:
The Funds team in Data is responsible for the data management of the Bloomberg public funds data product. We cover hundreds of thousands of funds across every continent of the globe consuming data from thousands of providers and ingesting and normalising this data into a consistent data model. The various datasets represent millions to billions of individually sourced and processed data points every year and is a significant daily operation.
The Role:
The Funds Data team is seeking a motivated and detail-oriented Automation Engineering to help drive our automation efforts. You'll be responsible for improving automation rates across the product by identifying inefficiencies, applying modern technologies (including AI/ML where appropriate), and building solutions that improve the data quality along the way. As a Data Management Professional, you will help to develop outcome-based data strategies to optimize the value of data for our customers and improve data operations.
We'll trust you to:
Analyze and optimize existing workflows, identifying opportunities for automation and scalability
Perform quarterly reports outlining data profiling and apply statistical methods to support data quality measurements
Design, build and maintain data pipelines and tools to improve straight-through processing and accuracy.
Evaluate and apply AI/ML/NLP techniques to enhance extraction processes and decision-making
Collaborate with subject matter authorities in Data, as well as colleagues in Product and Engineering, on roadmaps to improve automation rates and ensure consistency in quality in maintained or improved
Lead projects globally to improve data quality for a variety of customer types and use cases
Employ quantitative methods to advise and enhance on decision making capability in business planning, process improvement, and solution management
Keep up with the industry trends, standards, and innovation in the data quality domain
Work in a fast paced, multifaceted & collaborative setting
You'll Need to Have:
A BA/BS degree or higher
3+ years of Python programming and scripting in a production environment
Ability to work independently as well as in a distributed team environment
Exceptional problem-solving skills, numerical proficiency and high attention to detail
Experience building or maintaining automated workflows, pipelines, or data systems
Understanding and experience in large-scale distributed systems
Solid ability to combine technical data science traits with good business insight
Strong analytical abilities with passion for data and evidence-based decision-making
Excellent written and verbal communication skills, especially when explaining technical processes and solutions to business partners and management
We'd love to see:
Knowledge of Funds Data and their uses
Experience with data visualization or BI tools such as Tableau or Qlik Sense
Understanding of Machine Learning, applied statistics and data analytics
If this sounds like you:
Apply! If you think we're a good match. We'll get in touch to let you know the next steps!
Salary Range = 110,000 - 190,000 USD Annual + 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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Accommodations
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Equal Opportunity
Bloomberg is an equal opportunity employer and prohibits discrimination in employment. It is Bloomberg's policy to provide equal opportunity and access for all persons, and the Company is committed to attracting, retaining, developing, and promoting the most qualified individuals without regard to 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, self-identified or perceived sex, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy, childbirth or related medical conditions, or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law (each, a "Protected Characteristic"). Bloomberg prohibits treating applicants or employees less favorably in connection with the terms and conditions of employment, in all phases of the employment process, because of one or more Protected Characteristics.
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