Note: The job is a remote job and is open to candidates in USA. AlphaSense is a leading provider of AI-driven market intelligence, helping professionals make informed decisions. The Research Operations Associate will be integral in managing and evolving the Financial Data content set, focusing on operational excellence, data quality, and technical administration.

Responsibilities

• 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 acquisitions, delistings, and restructurings
• Workflow Optimization: Analyze existing workflows and technical documentation to enhance departmental scalability and efficiency
• Quantify Impact: Synthesize internal KPIs and client engagement metrics into reports that provide visibility into team performance and market reach
• Tech Stack Administration: Manage user access and permissions across the Research team’s suite of proprietary tools, ensuring secure and uninterrupted workflow

Skills

• Bachelor's degree in Finance, Economics, Data Analytics, Mathematics, or a related quantitative field
• 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
• 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
• Basic experience with Tableau or Power BI; familiarity with Bloomberg, FactSet, or S&P Capital IQ (including through university lab access) is a plus
• A perfectionist mindset toward data entry, maintenance, and accuracy
• Ability to write clear Standard Operating Procedures (SOPs) for repeatable workflows
• Ability to manage recurring deliverables (e.g., weekly reports) alongside ad-hoc requests from senior analysts
• Must be able to work EST hours

Benefits

• You may also be offered a performance-based bonus, equity, and a generous benefits program.

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