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Index Analyst Intern; Summer

Job in New York City, Richmond County, New York, USA
Listing for: Syntax
Seasonal/Temporary, Apprenticeship/Internship position
Listed on 2026-02-17
Job specializations:
  • Finance & Banking
    Financial Analyst
Job Description & How to Apply Below
Position: Index Analyst Intern (Summer 2026)
About Syntax Data

Syntax LLC is a financial data and technology company that codifies business models into a relational system we call Affinity Data. Syntax operates through three segments:
Affinity Data, Syntax Direct, and Syntax Indices. Using its patented FIS technology inspired by systems sciences, the Affinity Data segment offers the most comprehensive, granular, and accurate product line revenue data available on the market. The Syntax Direct segment then uses this abundance of data to facilitate the near instantaneous creation and ongoing management of boundless direct indexing solutions and rules-based equity portfolios through a fully automated platform.

The Syntax Indices segment offers customized and proprietary indices, including core global benchmarks and micro- and macro-thematic, smart beta, defined outcome, and target volatility indices. These indices are foundational for a range of financial products, such as ETFs, UITs, and structured products.

About the Role

The Index Intern will support our team by assisting with the research, creation, and development of market indices.

Responsibilities will include:

* Completing research related to index design and development

* Maintenance and monitoring of capital action activity covering global equity markets

* Compiling index-related data and preparing statistical reports that will be shared with the team and clients

The Ideal candidate will have:

* Microsoft Office proficiency with advanced Excel knowledge

* Studying Finance, Economics or Math

* Applied math skills, particularly financial statistics

* Programming skills, especially in Python and VBA

* Familiarity with data terminals such as Bloomberg, Eikon, and Fact Set

* Strong organizational and time management skills

* Experience working with and analyzing large datasets

* Excellent communication skills, both in written and spoken English

* Positive and proactive attitude with flexibility to accommodate a changing environment and willingness to take on new responsibilities

* Strong attention to detail

Learn more at
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