Senior Data Management Professional

We ll Trust You To:

• Own the data coverage, quality, and curation of 15-20 companies across Bloomberg Terminal, financial models, and enterprise data products
• Perform data profiling and exploratory data analysis to identify and prioritize areas of investments in our data offering
• Research and productionize advanced data quality solutions by leveraging subject matter expertise and technical acumen
• Use Python to query, analyze, and automate workflows
• Analyze industry trends and market-moving events to ensure our datasets reflect relevant, high-value information for clients
• Troubleshoot and resolve data quality escalations, collaborating with clients and stakeholders to ensure datasets are fit-for-purpose
• Develop financial models and apply data-driven insights to enhance product offerings
• Apply subject matter expertise to support the development of AI/ML automation initiatives
• Build interconnected data models across Bloomberg s product offering
• Manage client and internal stakeholder relationships
• Mentor and train junior team members to strengthen team capabilities

You ll Need To Have:

• Bachelor s degree in Finance, Accounting, Statistics, Business, STEM, or a related field or equivalent experience
• 4+ years of relevant experience in financial data analysis, equity research, financial modeling, or a related field
• Strong coding proficiency in Python or R for data analysis and workflow optimization
• Advanced experience working with Pandas (Python) or dplyr (R)
• Deep understanding of financial statements, financial modeling, and industry analysis
• Competency in applied statistics, with emphasis on descriptive statistics and statistical inference
• Basic knowledge of relational data modelling with a focus on conceptual data model and data normalization
• Strong problem-solving skills and ability to thrive in a fast-paced environment
• Excellent communication skills, with the ability to effectively translate business needs into actionable data solutions
• Proven ability to support and engage with stakeholders to ensure product success

We d Love to See:

• Master s degree or CFA designation (or in progress)
• Sector-specific expertise and understanding of key industry drivers (buy-side or sell-side equity research experience a plus)
• Exposure to data management principles, business intelligence tools or quality assurance and control
• Foundational knowledge of core LLM concepts
• Experience using Bloomberg Terminal and Company Financials products