Manager - Company Financials Industries Data

Manager - Company Financials

Bloomberg runs on data. Our products are powered by information. We combine data and context to give our clients the full picture, around the clock and across the globe. In Data, we are responsible for delivering this data, news, and analytics through innovative technology, at scale, quickly and accurately. We apply problem-solving skills to identify workflow efficiencies and implement technology solutions that enhance our systems, products, and processes.

Our Team:

The Company Financials team delivers fast, accurate, market-moving data including broker estimates, financial filings, and other datasets crucial for understanding company performance. We combine financial knowledge, industry expertise, data management, and technical skills to curate fit-for-purpose data and drive new products.

We are dedicated to crafting a best-in-class offering while continuously enhancing and expanding our products. This is achieved through a deep understanding of the markets we operate in, the sectors we cover, and our clients' current and future needs.

What's the Role?

We have an exciting opportunity for a global manager to lead a distributed team across different regions in our Financials vertical, which includes coverage of Banks, Asset Managers, FinTech, REITs and Insurance sectors. You will be expected to guide four teams through their respective team leaders across AMER, APAC and EMEA to think strategically, apply data management best practices across a wide range of datasets, and deliver high-quality data. You will influence and drive the technical and product development of both the data and the people by implementing standard processes for data management assets within the organization. You will also collaborate extensively with colleagues across global business units.

We'll Trust You To:

• Build and lead global teams of team leaders and senior individual contributors
• Recruit, mentor, and develop industry-specialist analysts who deliver high-quality data, financial modeling, content curation, and client solutions
• Partner with global counterparts and internal teams including Product, Bloomberg Intelligence, Engineering, and Financial Products to evolve workflows, ensure consistent data quality, and drive adoption across clients
• Lead proactive data-quality management with customer-focused metrics managing technical projects and engaging in technical discussions with partners
• Bring deep sector and dataset expertise to develop Bloomberg's data strategy
• Advance organizational skills in data management, modeling, engineering, analytics, and financial modeling to deliver robust, multi-product data solutions
• Stay ahead of with new technologies including AI and machine learning, business intelligence, and Bloomberg's tech stack

You'll Need To Have:

• 7+ years of management experience with direct reports, ideally leading diverse and global teams
• A solid grasp of data management principles and technologies such as data modeling, data analysis, data quality, process engineering and statistics to tell a narrative and/or generate data-driven insights
• Sophisticated Python/Pandas skills, proficiency in Applied Statistics (descriptive methods, inferential statistics and sampling), understanding of AI/ML techniques for tabular data and foundational understanding of data modeling techniques
• Good understanding of the wide-ranging impact of financial data and deep knowledge of financial statement analysis, financial modeling and industry analysis
• Experience with Business Intelligence tools such as Qlik Sense or PowerBI

We'd Love To See:

• Master's degree (or equivalent experience) in a relevant field, and/or CFA designation (or progress toward it)
• Understanding of modern data stack infrastructure, mainly data ingestion, storage, and orchestration
• Curiosity in equity markets and fundamental understanding of a sector KPIs and drivers, ideally within Financials or subsectors
• Demonstrable experience leading product development or sales initiatives passionate about delivering impactful data solutions to financial services clients
• Knowledge of Bloomberg Company Financials products and clients' workflows as well as proficiency with the Bloomberg Terminal

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