Research Operations Associate

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AlphaSense

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

🤖 Artificial Intelligence

💸 Finance

🏢 Enterprise

💰 Debt Financing on 2022-06

Artificial Intelligence • Finance • Enterprise

AlphaSense is a market intelligence and search platform that empowers companies to unlock critical insights across an extensive universe of public and private content, including company filings, broker research, expert calls, and market trends. Its AI-driven technology affords users the ability to conduct comprehensive due diligence with speed and accuracy, reducing uncertainty and blind spots in decision-making. Trusted by major corporations, financial institutions, and asset management firms globally, AlphaSense serves sectors such as financial services, health care, and technology by providing generative AI-powered solutions that integrate internal proprietary data with external premium content.

📋 Description

• Streamline the production of weekly schedules to ensure the Global Equity Research team is positioned for high-velocity output • Develop and refine data-driven reporting frameworks for predictive models, enabling strategic prioritization of workflow and resource allocation. • Conduct rigorous gap analyses to pinpoint areas for coverage expansion. • Audit, evaluate and remediate vendor data questions and entity related matters. • Serve as a subject matter expert on coverage lifecycle events. • Analyze existing workflows and technical documentation to enhance departmental scalability and efficiency. • Synthesize internal KPIs and client engagement metrics into performance reports. • Manage user access and permissions across the Research team’s suite of proprietary tools.

🎯 Requirements

• 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 is a plus. • A perfectionist mindset toward data entry, maintenance, and accuracy. • Ability to write clear Standard Operating Procedures (SOPs) for repeatable workflows, while managing recurring deliverables alongside ad-hoc requests from senior analysts; must be able to work EST hours.

🏖️ Benefits

• Performance-based bonus • Equity • Generous benefits program