Team Leader - Equity Corporate Actions - M&A, IPO and Private Deals Data
Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI
Data Engineering @ 6
Data Pipelines @ 4
LLM
Machine Learning
Python @ 6
SQL @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Bloomberg runs on data. Its products are fueled by powerful information that combines data and context to support clients worldwide. The Data organization delivers data, news, and analytics through innovative technology, applying problem-solving skills to identify workflow efficiencies and implement technology solutions that enhance systems, products, and processes.
The Equity Corporate Actions Data team supports Bloomberg's Terminal and enterprise services by sourcing, validating, and publishing accurate equity reference and corporate-actions information, including distributions, mergers and acquisitions, stock splits, and spin-offs. This role focuses on deal-related datasets, including mergers and acquisitions, IPOs, and private deals.
The role leads and develops a team of Corporate Actions analysts covering the Americas region from New York. It is responsible for maintaining consistent standards for accurate and timely financial data delivery, improving operational efficiency, delivering day-to-day product offerings, and using technology to automate and evolve the data product. The role collaborates extensively with global colleagues across Product, Engineering, and News.
Responsibilities
- Lead and mentor a team of Corporate Actions analysts while developing the skills needed to evolve the group.
- Coach analysts to connect daily tasks with long-term data-product strategy and encourage big-picture thinking.
- Foster a high-performance, feedback-rich culture that recognizes excellence and drives continuous learning.
- Establish end-to-end data stewardship through governance frameworks that protect consistency and integrity across data elements.
- Orchestrate automation at scale by combining AI/ML extraction with structured data-management techniques and proprietary and industry-standard tools to streamline validation, enrichment, and reconciliation.
- Track accuracy, timeliness, completeness, coverage, and continuity KPIs, using business-intelligence analytics to identify and correct anomalies.
- Evolve the data product with Product and Engineering by advancing data-model architecture, integrating new sources, and piloting LLM-powered solutions.
- Uphold client SLAs, resolve incidents quickly, and translate 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.
- At least 3 years of experience leading a high-performing team of data analysts or subject-matter experts, including setting targets and coaching for continuous improvement.
- Deep hands-on expertise in data quality, data modelling, and data engineering, along with 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 programming languages, with the ability to guide teammates developing automation pipelines and data-validation rules.
- In-depth knowledge of the Equity Corporate Actions domain, particularly mergers and acquisitions, IPOs, and private-deal datasets and their downstream use cases.
- Ability to establish relationships with internal and external stakeholders and communicate complex data-management concepts to technical and non-technical audiences.
- Strong analytical, creative, and flexible problem-solving skills.
- An advanced degree in a data-related discipline or a recognized credential such as the DAMA Certified Data Management Professional (CDMP) is desirable.
- Contributions to corporate-actions working groups or standards bodies are desirable.
Benefits
Benefits may include merit increases, incentive compensation for exempt roles, paid holidays, paid time off, medical, dental, vision, short- and long-term disability benefits, 401(k) matching, life insurance, and wellness programs.