The Research Associate II is responsible for creating and delivering high-quality financial content from sell-side research, leveraging both advanced data extraction technologies and domain expertise. This role plays a critical part in delivering accurate and actionable financial insights that empower clients to make well-informed investment decisions.
By ensuring the highest standards of data quality and reliability, this position strengthens the credibility and usability of consensus data - directly contributing to client satisfaction, business success, and a strong presence in the financial markets.

Prepare insightful financial content from sell-side research using a mix of extraction technologies and sector knowledge.
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.
Partner with cross-functional teams to share best practices and align quality, and operational standards.
Engaging actively during onboarding and training, raising process-related queries, contributing to knowledge-sharing sessions.

Accuracy and quality of financial content processed from sell-side research (error rate / quality score).
Reduction in errors identified in consensus models over time, reflecting improved data quality.
Understanding of financial statements (Income Statement, Balance Sheet, Cash Flow Statement).
Familiarity with financial concepts and ratio analysis.
Ability to interpret and deconstruct sell-side financial models.
Experience with data extraction tools and technologies (preferred).
Proficiency in Excel and financial data platforms.
Familiarity with AI/ML-based data extraction workflows (a plus).

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.
Prior experience in creating or validating consensus models (a plus).

Willingness to work across shifts on a rotational basis (Day / Morning / Night shifts as required).
Preferred Education & Experience

- Post Graduate CFA Level 2 cleared (a plus) or Undergraduate with CFA Level 3 cleared (a plus).
- 0-2 years of experience in financial research, data operations, or related roles. Fresher candidates with strong academic background and interest in financial markets are encouraged to apply.

Research Associates and Specialists within the Data Research & Operations team.
Cross-functional teams including Data Quality, Technology, and Process Excellence.
Internal stakeholders across the investing community who rely on accurate financial content.
Sector and domain experts providing guidance on financial models and research methodologies.

Advancing Essential Intelligence.

We're more than 35,000 solid worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.

Throughout our history,



the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.
Health & Wellness: Health care coverage designed for the mind and body.
Flexible Downtime: Generous time off helps keep you energized for your time on.
Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.
At S&P; Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. Recruitment Fraud Alert:
S&P; Global never requires any candidate to pay money for job applications, interviews, offer letters, 'pre-employment training' or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity .

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S&P; Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person.

20 - Professional (EEO-2 Job Categories-United States of America), DTMGOP203 - Entry Professional (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)

📌 Research Fellow Full-time (India)
🏢 S&P Global Market Intelligence
📍 India