Research Operations Associate

About AlphaSense: The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! About the Team: The Research Operations team is critical to the evolution and reliability of AlphaSense’s Financial Data products. By focusing on operational excellence, data quality, and technical administration, the team directly drives product utility and client trust. About the Role: The Research Operations Associate will play a central role in building, maintaining, and evolving our Financial Data content set within our Financial Data team. In this role, you won't just manage data — you'll be an integral part of operationalizing our strategy, conducting intensive analysis, and developing the tools that drive team success. This role sits at the intersection of capital markets and data, offering hands-on exposure to both the mechanics of financial markets and the systems that power them. It is an excellent launchpad for someone looking to grow their operational skillset within the finance industry. Who You Are: Education & Market Knowledge: Bachelor's degree in Finance, Economics, Data Analytics, Mathematics, or a related quantitative field. Experience Level: 1+ years of experience in finance or a related analytical field, or equivalent exposure through internships and coursework in statistics, financial accounting, or business analytics. Advanced Excel & Data Tools: Proficiency in Excel (VLOOKUPs/XLOOKUPs, Index-Match, Pivot Tables, Data Validation, basic Macro/VBA), SQL for database querying, and Python (Pandas) for automating repetitive data tasks.Visualization & Financial Platforms: Basic experience with Tableau or Power BI; familiarity with Bloomberg, FactSet, or S&P Capital IQ (including through university lab access) is a plus. Data Integrity & Attention to Detail: A perfectionist mindset toward data entry, maintenance, and accuracy — in operations, the small things are the big things. Documentation, Organization & Time Management: Ability to write clear Standard Operating Procedures (SOPs) for repeatable workflows, while managing recurring deliverables (e.g., weekly reports) alongside ad-hoc requests from senior analysts; must be able to work EST hours. What You’ll Do: Produce Weekly Schedules: Streamline the production of weekly schedules to ensure the Global Equity Research team is positioned for high-velocity output Drive Research Prioritization: Develop and refine data-driven reporting frameworks for predictive models, enabling the team to strategically prioritize workflow and resource allocation. Identify Growth Opportunities: Conduct rigorous gap analyses to pinpoint areas for coverage expansion. Advance Financial Data Content: Audit, evaluate and remediate vendor data questions and entity related matters impacting the flow of Financial Data content. Lifecycle Event Management: Serve as a subject matter expert on coverage lifecycle events, facilitating seamless transitions during corporate actions such as ac