Description
Research & Estimates delivers trusted, timely, and comprehensive Broker Research & Estimates content to support buy-side and sell-side customers globally.
The Content Analyst is responsible for collecting, reviewing, validating, and maintaining high-quality estimates data from various broker sources.
Responsibilities
- Collect, review, validate, and maintain financial estimates data accurately and within required timelines.
- Review and interpret estimates available from broker research and Broker Analyst Model sources.
- Ensure data quality, accuracy, timeliness, and completeness in line with established standards.
- Investigate and take ownership of data queries, collaborating with internal teams and stakeholders to resolve issues.
- Develop knowledge of financial markets, accounting concepts, market practices, and Estimates content.
- Identify opportunities to improve data quality, workflows, and operational efficiency.
- Support new tools, applications, workflows, automation, and other process improvement initiatives.
- Contribute to team projects and support the implementation of process or workflow changes.
- Follow established data policies, procedures, operational standards, and controls.
Qualifications & Competencies
- Interest in financial markets, financial data, research, or the FinTech industry.
- Good analytical and problem-solving skills with strong attention to detail.
- Ability to work effectively in a time-sensitive environment and manage priorities.
- Good written and verbal communication skills.
- Ability to work independently while collaborating effectively within a team.
- Customer-focused mindset and commitment to delivering accurate and timely data.
- Working knowledge of Microsoft Office applications, particularly Excel.
- Willingness to learn new financial concepts, processes, systems, and technologies.
- Knowledge of tools such as SQL, Power Apps, Python, or similar technologies is an advantage but not required.
Digital & Technical Skills
- Working knowledge of Microsoft Excel and Word.
- Ability and willingness to learn internal databases, applications, and content-processing tools.
- Ability to use online resources effectively and responsibly for research and data validation.
- Openness to learning and using new technologies that support data quality, automation, and process improvement.