Senior Data Management Professional - Automation Engineer - Classifications

LocationPrincetonBusiness AreaDataRef #10050771Description & RequirementsBloomberg 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 Classifications team builds and maintains the taxonomies that group companies and securities by business activities and risk profiles. These classifications form the foundation for peer group analysis, benchmarking, and market trend evaluation. When clients compare investment opportunities, evaluate sector exposures, or analyze historical performance, classification data provides the consistent framework that makes these insights possible.We Enable Clients ToAssess how global, regional, or local industry trends affect portfoliosCompare and report on sector exposures versus peers and benchmarksIdentify investment opportunities across developed and emerging marketsAnalyze sector and industry contributions to portfolio performanceBuild consistently defined, sector-based investment and rotation strategiesWhat’s the role? As a Classifications Automation Engineer, you will be responsible for streamlining and scaling the delivery of classification data across asset types by designing and implementing automated workflows. You will partner with stakeholders to identify inefficiencies, apply modern technologies (including AI/ML where appropriate), and build solutions that improve data accuracy, consistency, and timeliness.You will play a key role in transforming manual or semi-manual processes into robust, automated pipelines while developing business intelligence to monitor performance and outcomes.We’ll Trust You ToAnalyze and optimize existing workflows, identifying opportunities for automation and scalabilityDesign, build, and maintain automated data pipelines and tools to improve efficiency and accuracyEvaluate and apply AI/ML/NLP techniques to enhance classification processes and decision-makingPartner with Data, Engineering, Product, and Business teams to deliver scalable solutionsDevelop metrics and monitoring to ensure data quality, timeliness, and operational performanceUnderstand financial datasets and client use cases to inform automation prioritiesYou’ll Need To HaveBachelor’s degree with at least 4 years of relevant experience, or a Master’s degree with at least 3 years of relevant experience4+ years of Python programming and scripting in a production environmentExperience building or maintaining automated workflows, pipelines, or data systems Knowledge of Artificial Intelligence (AI), Natural Language Processing (NLP), or Machine Learning (ML) conceptsStrong analytical thinking and problem-solving skills with attention to detailEffective communication and collaboration skills across technical and non-technical teamsAdaptability and a proactive approach to driving change and improvementLegal authorization to work full-time in the United States without current or future visa sponsorshipWe’d Love To SeeExperience with Agile development methodologies (e.g., Scrum)Familiarity with the Bloomberg TerminalKnowledge of financial markets and instrumentsExperience with data visualization or BI tools such as Tableau or Qlik SenseDoes 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 Range = 110,000 - 190,000 USD Annual + Benefits + BonusThe 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.Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.