Research Associate II

Overview

Research Associate II role creating and delivering high-quality financial content from sell-side research using data extraction technologies and domain expertise. Not an Equity Research or Financial Modeling role.

What you'll do

• Prepare insightful financial content from sell-side research using a mix of extraction technologies and sector knowledge.
• Develop and demonstrate a strong understanding of diverse business models for public-listed companies.
• Track events for a set of companies, starting with corporate earnings and M&A transactions, with a focus on changes in models.
• Identify and flag errors in financial models using structured rules and statistics-based tools.
• Collaborate actively within the team to continuously improve the efficiency of the overall data collection process.
• Apply knowledge of financial statements, GAAP/Recurring income, and other financial concepts to ensure data accuracy.
• Break down and interpret financial models to understand the building blocks of a company's business model.
• Apply an eye for detail and leverage structured tools to identify and correct modeling errors proactively.
• Quickly learn the end-to-end process and build the capability to take on a reviewer role.
• Collaborate on model interpretation, share knowledge on sector-specific nuances, and support consistency in output.
• Highlight critical errors or modeling anomalies to team leads and cross-functional partners to improve decision-making inputs.
• Partner with cross-functional teams to share best practices and align quality and operational standards.
• Articulate findings and insights clearly to stakeholders across the organization, both verbally and in writing.
• Engage actively during onboarding and training, raising process-related queries and contributing to knowledge-sharing sessions.

What you'll need

• Understanding of financial statements (Income Statement, Balance Sheet, Cash Flow Statement).
• Knowledge of GAAP and non-GAAP/Recurring income concepts.
• Familiarity with financial concepts and ratio analysis.
• Ability to interpret and deconstruct sell-side financial models.
• Proficiency in Excel and financial data platforms.
• Strong analytical skills with the ability to apply structured frameworks to complex financial data.
• Ability to identify patterns, anomalies, and errors in financial models.
• Knowledge of diverse business models across sectors, industries, and geographies.
• Understanding of corporate events (earnings, M&A, restructuring) and their modeling implications.
• Capability to learn the full end-to-end process and independently take on a reviewer function.
• Positive attitude with a high level of attention to detail.
• Strong problem-solving and troubleshooting mindset.
• Excellent critical thinking and analytical aptitude.
• Effective communication skills, able to clearly articulate findings and insights to stakeholders.
• Collaborative team player who actively contributes to shared team goals.
• Self-motivated with the ability to quickly adapt and upskill in a fast-paced environment.
• 0–2 years of experience in financial research, data operations, or related roles.

Nice to have

• Experience with data extraction tools and technologies.
• Understanding of consensus model creation and management.
• Familiarity with AI/ML-based data extraction workflows.
• Deep sector expertise in specific industries.
• Prior experience in creating or validating consensus models.
• Post Graduate CFA Level 2 cleared; or Undergraduate with CFA Level 3 cleared.
• Fresher candidates with strong academic background and interest in financial markets are encouraged to apply.

Details

• Location: Mumbai, Maharashtra, India.
• Willingness to work across shifts on a rotational basis (Day / Morning / Night shifts as required).