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NewFull-time· datascience · analytics
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S&P Global

Research Associate II

Pay

₹6L–10L LPA

+22% vs avg

Location

Mumbai

On-site

Batch

2024, 2025, 2026

eligible

Closes

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Posted 1h ago · 1,992 views this week

₹6L–10L LPA

Full-time · Mumbai · On-site

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Description

About the role

The Research Associate II at S&P Global in Mumbai creates high‑quality financial content by extracting data from sell‑side research and applying strong domain knowledge. The role focuses on ensuring accurate consensus data, tracking corporate events, and supporting stakeholders with clear insights.

Responsibilities

  • Prepare insightful financial content from sell‑side research using extraction tools and sector expertise.
  • Track corporate earnings, M&A and other events, flagging errors in financial models with statistical tools.
  • Collaborate with the team to improve data collection efficiency and maintain high data quality.
  • Apply GAAP, recurring income concepts and financial statement knowledge to validate information.
  • Communicate findings and model anomalies to cross‑functional partners and support reviewer readiness.
  • Participate in onboarding, knowledge‑sharing sessions and adapt to shift rotations as needed.

Eligibility

  • Post‑graduate degree (CFA Level 2 cleared is a plus) or undergraduate degree (CFA Level 3 cleared is a plus).
  • 0–2 years of experience in financial research, data operations or related fields; freshers with strong academic background are welcome.
  • Ability to work across day, morning or night shifts on a rotational basis.

Skills

  • Proficiency in Excel and familiarity with data extraction tools.
  • Understanding of financial statements, GAAP and non‑GAAP/recurring income concepts.
  • Ability to interpret and deconstruct sell‑side financial models.
  • Strong analytical mindset with attention to detail and problem‑solving skills.
  • Effective written and verbal communication for stakeholder interaction.

Skills

· 10 total

Required7

excelai/mlfinancial modelinggaapfinancial statement analysisdata extraction toolsconsensus modeling

Nice to have3

machine learningfinancial data platformssector expertise