S&P Global is hiring for the position of Apprentice, Index Management in Mumbai, India. Candidates with a Bachelor’s/ Master’s Degree are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
Job Description:
| Company Name | S&P Global |
| Position | Apprentice, Index Management |
| Qualifications | Bachelor’s/ Master’s Degree |
| Experience | Freshers |
| Location | Mumbai, India |
Key Responsibilities:
- Support quantitative research initiatives related to Index Engineering.
- Explore internal analytical platforms to identify workflow improvements and operational efficiencies.
- Support exploratory projects focused on workflow optimisation, analytical research, and new technology initiatives.
- Assist in developing Python-based analytical utilities and workflow automation solutions, where appropriate.
- Review and validate structured data outputs under appropriate supervision.
- Support the documentation of workflows, methodologies, and operational processes.
- Collaborate with global teams on testing, quality assurance, and exploratory research initiatives.
- Participate in projects involving Databricks and other internal analytical platforms.
- Present analytical findings, observations, and recommendations clearly to team members and stakeholders.
- Develop foundational knowledge of index concepts, financial datasets, and internal team workflows.
Eligibility Criteria:
- Currently pursuing or recently completed a Bachelor’s or Master’s degree in Finance, Economics, Mathematics, Statistics, Financial Engineering, Data Science, or another quantitative discipline.
- Strong interest in financial markets, investing, quantitative finance, or index investing.
- Ability to work from the Mumbai, India office throughout the internship period.
- Strong ability to analyse numerical data and solve analytical problems.
- Intermediate proficiency in Python, with a basic understanding of data analysis concepts.
- Familiarity with Git, version control systems, and collaborative software development workflows.
- Strong analytical thinking, attention to detail, and a willingness to learn.
Preferred Skills:
- Knowledge of financial markets, ETFs, passive investing, or index concepts is an added advantage.
- Exposure to tools and frameworks such as pandas, NumPy, Streamlit, or Databricks is preferred.
- Familiarity with structured datasets, data processing workflows, and financial market analytics.
- Ability to work independently on structured tasks while seeking guidance from team members when required.
- Strong communication and collaboration skills, with the ability to work effectively in a global team environment.
- Curiosity, initiative, and willingness to explore ambiguous problems and propose practical solutions.
About Company:
S&P Global Sustainable1 is the central source for sustainably intelligence from S&P Global. Sustainable1 matches customers with the ESG products, insights and solutions from across S&P Global’s divisions to help meet their unique needs. Our comprehensive coverage across global markets combined with in-depth ESG intelligence provides financial institutions, corporations and governments an unmatched level of clarity and confidence to successfully navigate the transition to a sustainable future. Our data and well-informed point of view on critical topics like energy transition, climate resilience, positive impact and sustainable finance allow us to go deep on the details that define the big picture so customers can make decisions with conviction.
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