Team Leader - Equity Corporate Actions - M&A, IPO And Private Deals Data

Details

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 workflow efficiencies and implement technology solutions to enhance our systems, products, and processes.

Our Team

Our Equity Corporate Actions Data team underpins Bloomberg’s Terminal and enterprise services by sourcing, validating, and publishing accurate equity reference and corporate-actions information—from distributions, to mergers & acquisitions, stock splits, spin-offs, and beyond—to hundreds of thousands of users worldwide. Within this group, this role will focus on leading coverage of deal-related datasets, including mergers & acquisitions, IPOs, and private deals.

What’s the Role?

You will lead and develop a team of Corporate Actions analysts covering the Americas region. Your role is key in ensuring consistency of standards for the delivery of accurate and timely financial data to our worldwide clients, while continually seeking new ways to operate more efficiently. Working with your team, you will be expected to drive the delivery of day-to-day product offerings, while leveraging technology to automate and evolve the data product for the future. The role involves extensive collaboration with global colleagues across Product, Engineering, and News.

Responsibilities

• Lead & mentor a team of Corporate Actions analysts, delivering day-to-day on what clients rely on while developing new skill-sets
• Coach analysts to connect daily tasks to long-term data-product strategy and foster ‘big-picture’ thinking
• Instill a high-performance, feedback-rich culture that recognizes excellence and drives continuous learning
• Champion end-to-end data stewardship by embedding robust governance frameworks that safeguard consistency and integrity across every data element
• Orchestrate automation at scale—combine AI/ML extraction with structured data-management techniques using proprietary and industry-standard toolkits to streamline validation, enrichment, and reconciliation
• Track and ensure fit-for-purpose quality by monitoring accuracy, timeliness, completeness, coverage, and continuity KPIs, and correct anomalies surfaced via business-intelligence analytics
• Evolve the data product in partnership with Product and Engineering—advance data-model architecture, integrate new sources, and pilot LLM-powered solutions to deliver measurable client value
• Deliver client-first service by upholding strict SLAs, resolving incidents quickly, and translating client feedback into prioritized backlog items

Requirements

• Bachelor’s degree with at least 4 years of relevant experience, or a Master’s degree with at least 3 years of relevant experience
• 3+ years leading a high-performing team of data analysts or subject-matter experts, setting clear targets and coaching for continuous improvement
• Deep hands-on expertise in data quality, data modelling, and data engineering, plus hands-on command of modern processing paradigms, tools, and architectures
• Experience building and operationalizing production-grade data pipelines that ingest, normalize, validate, publish, and continuously improve large-scale financial datasets
• Advanced SQL and Python (or similar languages) expertise and ability to guide teammates developing automation pipelines and data validation rules
• In-depth knowledge of the Equity Corporate Actions domain, particularly datasets related to mergers & acquisitions, IPOs, and private deals, and its downstream use-cases
• Strong stakeholder management and communication skills; able to explain complex data-management concepts to technical and non-technical audiences
• Strong analytical problem-solving skills to turn data insights into actionable improvements

Nice to Have

• Advanced degree in a data-related discipline or recognized credential such as DAMA CDMP
• Contributions to corporate actions working groups or standards bodies demonstrating thought leadership in data-management best practices

Compensation & Benefits

Salary Range: 135,000 - 230,000 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 geographic location, work experience, market conditions, education/training and skill level.

The company offers a comprehensive benefits plan 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) with match, life insurance, and wellness programs. The Company does not provide benefits directly to contingent workers/contractors and interns.

How to Apply

Apply via the provided Bloomberg careers link if interested. If the company believes you're a good match, they will contact you with next steps.