Are you passionate about financial markets, quantitative analysis, and data-driven problem solving?
The Index Engineering team at S&P Dow Jones Indices develops bespoke index solutions for institutional clients across global financial markets. This internship offers an opportunity to work at the intersection of finance, quantitative research, and technology, supporting projects that contribute to the design, development, and enhancement of innovative investment indices.
This role focuses primarily on financial data exploration, index research, quantitative analysis, and process improvement, where Python is used as an analytical tool to solve business problems.
This internship is ideal for students interested in building careers in Quantitative Finance, Index Engineering, Financial Analytics, Investment Research, or Financial Engineering. It is also suitable for those with a technical background who are looking to transition into quantitative finance.
The Team:
The Index Engineering team designs and develops bespoke equity indices for institutional clients across global financial markets. Our team members, based in New York, New Jersey, and Mumbai, combine financial market research, index methodology, quantitative analysis, and technology to create investment solutions.
This internship is ideal for students interested in quantitative finance, financial markets, and using python as a tool for financial analysis rather than traditional software development.
The Impact:
The Index Engineering team contributes to the development and launch of bespoke index products that serve a diverse global client base.
In this role, you will collaborate with experienced analysts and engineers on internal process improvements, exploratory research initiatives, and technology enhancements that drive operational efficiency and support innovation within the team.
Your work will help improve analytical workflows while providing valuable exposure to global financial markets and quantitative investing.
What’s in it for you:
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- Gain hands-on exposure to Index Engineering and quantitative finance.
- Develop practical analytical and problem-solving skills using real-world financial datasets.
- Work on exploratory and automation-focused initiatives, including enhancements to internal platforms and dashboards.
- Gain exposure to bespoke index development, financial markets, and index methodologies.
- Apply Python to solve financial data and workflow challenges rather than traditional software development tasks.
- Work with global teams across research, analytics, technology, and product management.
- Build practical analytical and problem-solving skills in a fast-paced financial services environment.
- Explore industry-leading analytical platforms such as Databricks and internal quantitative research tools to develop solutions that directly support company objectives.
- Build a strong foundation for careers in Quantitative Finance, Financial Analytics, Index Engineering, Investment Research, or Financial Data Science.
Responsibilities:
- Support quantitative research initiatives related to Index Engineering.
- Explore internal analytical platforms to identify workflow improvements and operational efficiencies.
- Support exploratory projects related to workflow improvements, analytical research, or new technology initiatives.
- Assist in developing Python-based analytical utilities and workflow automation where appropriate.
- Review and validate structured data outputs under supervision.
- Support 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 to team members.
- Develop foundational knowledge of index concepts, financial datasets, and internal team workflows.
Additional Notes:
- This internship focuses on analytical support, exploratory initiatives, and workflow enhancement projects.
- Interns will receive guidance from experienced team members and will not be expected to independently manage production index workflows or proprietary systems.
Basic Qualifications:
- 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.
- Must be able to work out of the Mumbai, India office during the internship period.
- Ability to analyze numerical data and solve analytical problems.
- Intermediate proficiency in Python and familiarity with basic data analysis concepts.
- Familiarity with Git/version control and collaborative development workflows.
- Strong analytical thinking, attention to detail, and willingness to learn.
Preferred Qualifications:
- Understanding one or more of the following is an advantage - financial markets, ETFs, passive investing, or index concepts.
- Exposure to tools and frameworks such as pandas, NumPy, Streamlit, or Databricks.
- Familiarity with structured datasets, data processing workflows, and financial market analytics.
- Ability to work independently on structured tasks with guidance from the team.
- Strong communication and collaboration skills in a global team environment.
- Curiosity, initiative, and willingness to explore ambiguous problems and propose solutions.
Ideal Candidate:
- This internship is particularly suited for candidates who aspire to build a career in Quantitative Finance, Index Engineering, Financial Analytics, Investment Research, or Financial Engineering.
- Have a strong curiosity about how investment indices are designed, engineered, and maintained.
- Enjoy solving analytical and business problems using data.
- View python as a tool for solving financial and analytical challenges rather than purely software development.
- Are eager to learn about quantitative investing, global financial markets, and index methodologies
- Are self-motivated, curious, and comfortable working in a collaborative global environment.
- Possess a finance background with strong analytical skills or have a technical background and are seeking to transition into quantitative finance.
About S&P Global Dow Jones Indices
At S&P Dow Jones Indices, we provide iconic and innovative index solutions backed by unparalleled expertise across the asset-class spectrum. By bringing transparency to the global capital markets, we empower investors everywhere to make decisions with conviction. We’re the largest global resource for index-based concepts, data and research, and home to iconic financial market indicators, such as the S&P 500® and the Dow Jones Industrial Average®. More assets are invested in products based upon our indices than any other index provider in the world. With over USD 7.4 trillion in passively managed assets linked to our indices and over USD 11.3 trillion benchmarked to our indices, our solutions are widely considered indispensable in tracking market performance, evaluating portfolios and developing investment strategies.
S&P Dow Jones Indices is a division of S&P Global (NYSE: SPGI). S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world’s leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit www.spglobal.com/spdji.
What’s In It For You?
Our Mission:
Advancing Essential Intelligence.
Our People:
We're more than 35,000 strong 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 are changing the way people see things and empowering them to make an impact on the world we live in. 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.
Our Values:
Integrity, Discovery, Partnership
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.
Benefits:
We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.
Our benefits include:
- Health & Wellness: Health care coverage designed for the mind and body.
- Flexible Downtime: Generous time off helps keep you energized for your time on.
- Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
- 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.
- Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
- Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.
For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries
Global Hiring and Opportunity at S&P Global:
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. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
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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. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.
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