Associate Content Specialist
FactSet
New York, United States0–2 yrs2h agovia LinkedIn
This job at a glance
- Who can apply
- New grads and up to 2 years · Bachelor's degree
- Must know
- OnboardingOperationsData analysis
- Nice to have
- PythonSQL
- Work
- On-site in New York
- Pay
- Not stated by the employer.
- Skill demand
- Operations20%of 56 similar entry-level jobs posted in the US this week
- Listed
- Nov 10, 2026 · still open
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About the Role
The Associate Content Specialist role is part of the Real Time Price Development team, responsible for onboarding, maintaining, and enhancing the real-time market data that powers FactSet's products. This team plays a critical role in delivering reliable, high-quality data to investment professionals. The role requires flexibility to work evening hours as needed to support Asia-Pacific market coverage.
Key Responsibilities
- Test and validate new real-time market data content and functionality to ensure data accuracy and quality.
- Support the onboarding, maintenance, and enhancement of real-time market data across FactSet products.
- Review market data provider notifications and assess the impact of content, market, and feed changes.
- Investigate data anomalies and partner with Engineering and Operations teams to identify and resolve issues.
- Define, document, and validate business rules and data requirements for content onboarding and maintenance.
- Collaborate with cross-functional teams to improve workflows, processes, and the overall client experience.
- Take ownership of assigned tasks and projects, ensuring deliverables are completed accurately and on time.
- Develop subject matter expertise in assigned content areas and serve as a resource for data-related questions.
Requirements & Tech Stack
- Demonstrated knowledge of financial markets and market data concepts.
- Experience using AI tools (e.g., ChatGPT, Copilot, Gemini, Claude) to support research, problem-solving, content creation, and day-to-day productivity.
- Experience with SQL, Python, or other programming languages, a plus.
Qualifications
- Bachelor’s degree in Finance, Economics, Mathematics, Data Analysis, or a related field.
- Demonstrated ability to learn and apply new concepts, technologies, and processes quickly.
- Attention to detail with a focus on data accuracy and quality.
- Strong analytical and problem-solving skills.
- Strong communication and collaboration skills.
- Must be legally authorized to work in the United States without the need for employer sponsorship now or at any time in the future.