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Location
Hybrid (New York, United States)
Seniority
Intern
Employment
Internship

Confirmed on the employer's own hiring board on Nov 14, 2026. First seen by Alion on Nov 14, 2026.

Overview
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We have the most comprehensive, transparent, and accessible financial data in the world. Quickly uncover insights designed to power portfolios that rise above the rest.

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 comprehensive, granular product-line revenue data. Syntax Direct™ uses this data to facilitate the creation and ongoing management of direct indexing solutions and rules-based equity portfolios through an automated platform. Syntax Indices™ offers customized and proprietary indices, including core global benchmarks, thematic, smart beta, defined outcome, and target volatility indices. These indices serve as the foundation for a range of financial products, including 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 FactSet
  • 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
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