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AlphaSense India
Mumbai
Source: AlphaSense India careers · View original posting
From AlphaSense India's posting. “We” and “our” refer to the employer.
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!
AlphaSense is seeking a motivated, detail-oriented Annotations Specialist to play a key role in advancing data annotation and analysis for AI model training and evaluating AI-based model outputs.
The successful candidate will join a dynamic team of AI researchers and product managers focused on developing next-generation Generative AI (GenAI) features for market intelligence. You will be responsible for data annotation, testing the AlphaSense product, and coordinating production releases, working closely with the team to ensure the functionality and quality of your assigned module.
MBA in Finance (or related field) paired with an undergraduate degree in Finance, Accounting, or Commerce (B.Com/M.Com/BMS/BBA).
Deep understanding of financial statements, corporate filings, earnings reports, and capital markets data.
A zero defect mindset with exceptional attention to detail when analysing complex data.
Ability to clearly explain technical and financial edge cases to research engineers.
Ability to thrive in a fast paced environment both independently and collaboratively.
Proficiency with workspace tools (G Suite, MS Excel/Office)
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