The Role:

AlphaSense is seeking a motivated and detail-oriented Associate Financial Analyst to play a key role in advancing the annotations and analysis of data for AI model training and in the evaluation of AI-based model outputs.

The successful candidate will join a dynamic team of software experts, AI researchers, and product managers focused on developing next-generation Generative AI (GenAI) features for market intelligence. This role offers the opportunity to collaborate with financial analysts from diverse backgrounds, including sell-side research, management consulting, and data annotation, to provide essential insights that drive the company's GenAI strategies and contribute to the development of cutting-edge GenAI products.

Note: This position requires a strong focus on the analysis of high-quality research reports and is distinct from traditional accounting or routine financial reporting functions.

Responsibilities:

• Analyse and interpret a variety of financial documents, including earnings calls, U.S. SEC and global filings, broker research reports, expert call transcripts, news, and regulatory content.

• Evaluate and rank language model outputs based on criteria such as comprehensiveness, factual accuracy, coverage, and fluency.

• Analyse customer usage patterns of the AlphaSense platform and data sources to identify opportunities for product enhancements and new AI model applications.

• Ensure the quality and consistency of data collection for AI model evaluation/training.

• Collaborate with Product Managers and AI Researchers to define data annotation guidelines and processes for various Generative AI projects.

• Apply hands on knowledge of a wide range of financial reports and documents.

• Demonstrate the ability to thoroughly review, comprehend, and synthesise information from diverse sources to extract key details and formulate actionable insights.

• Maintain a strong understanding of industry trends related to data annotation, AI ethics, and emerging technologies relevant to our AI offerings.

Requirements:

• Chartered Accountant (CA) certification or completion of all three levels of the CFA program.

• Demonstrates exceptional understanding of financial concepts and data.

• 1 to 2 years of relevant experience in financial analysis.

• Excellent written and verbal communication skills.

• Proven ability to collaborate effectively in a cross-functional environment and communicate clearly with both technical and non-technical stakeholders.

• Exceptional analytical and critical thinking skills, with the ability to synthesise complex information into clear insights and actionable recommendations.

• Strong project management skills, including problem-solving, time management, prioritisation, adaptability, research proficiency, and a commitment to quality management.

• Proficiency in workplace productivity tools, such as GSuite and MS Office.