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Indexing Jobs in New York (NOW HIRING)

Index Investment Strategy produces the research, data, and commentary that investors, allocators, and financial intermediaries trust, and carries our voice through paid, owned, and earned media.

Index Investment Strategy produces the research, data, and commentary that investors, allocators, and financial intermediaries trust, and carries our voice through paid, owned, and earned media.

Role Overview As an Index Options Trader at G-20, you will be responsible for managing and optimizing a discretionary index options portfolio. You will collaborate with a team of traders ...

Index Investment Strategy produces the research, data, and commentary that investors, allocators, and financial intermediaries trust, and carries our voice through paid, owned, and earned media.

Role Overview As an Index Options Trader at G-20, you will be responsible for managing and optimizing a discretionary index options portfolio. You will collaborate with a team of traders ...

Role Overview As an Index Options Trader at G-20, you will be responsible for managing and optimizing a discretionary index options portfolio. You will collaborate with a team of traders ...

The Index Governance Operations (IGO) Methodology Team at S&P Dow Jones Indices (S&P DJI)maintains the document library hosting all S&P DJI methodologies, policy documents, and relatedcommunications ...

Showing results 21-40

Indexing information

See New York salary details

$11

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$27

How much do indexing jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for indexing in New York is $20.80, according to ZipRecruiter salary data. Most workers in this role earn between $17.88 and $23.41 per hour, depending on experience, location, and employer.

What is indexing and what does an indexer do?

Indexing is the process of creating organized listings or databases to help users quickly locate information within books, articles, databases, or digital content. An indexer analyzes text or data and identifies key topics, names, and concepts, then creates an index or tagging system that makes retrieval easy and efficient. Indexers may work with printed publications, library catalogs, databases, or online platforms, and their work is crucial for effective information management and discovery.

What are the key skills and qualifications needed to thrive as an indexer, and why are they important?

To thrive as an Indexer, you need strong attention to detail, excellent language and analytical skills, and typically a background in library science or information management. Familiarity with indexing software (such as CINDEX or SKY Index), taxonomies, and metadata standards is often required. Strong organizational abilities, time management, and the capacity to interpret complex information are essential soft skills. These competencies ensure the creation of accurate, user-friendly indexes that enhance information retrieval and usability for end users.

What are some common challenges faced by indexing professionals, and how can they be addressed?

Indexing professionals often encounter challenges such as managing large volumes of data, maintaining accuracy under tight deadlines, and adapting to evolving indexing standards or software. To address these, it’s important to develop strong organizational skills, stay updated with industry guidelines, and become proficient in the latest indexing tools. Regular communication with editors and subject matter experts also helps ensure that the index meets the needs of the target audience and maintains high quality.

What is the difference between Indexing vs Cataloging?

AspectIndexingCataloging
CredentialsTypically requires library science or information science degreesOften requires similar degrees, with emphasis on classification systems
Work EnvironmentLibraries, archives, digital databasesLibraries, museums, archives, digital repositories
PurposeOrganize information for quick retrievalCreate detailed records for identification and classification
Common UsageIndexing is used for search optimization and quick accessCataloging is used for detailed record-keeping and classification

Indexing and cataloging are related but distinct roles in information management. Indexing focuses on creating searchable entries for quick retrieval, while cataloging involves detailed classification and record creation for comprehensive organization. Both are essential in library and information sciences, often overlapping in skills and environment.

How do you become an indexer?

To become an indexer, you typically need strong reading and organizational skills, attention to detail, and familiarity with indexing software or tools. Many indexers gain experience through training programs, online courses, or by working in related fields such as editing or publishing. Building a portfolio and joining professional associations can also help establish credibility in the field.

What are the most commonly searched types of Indexing jobs in New York?

The most popular types of Indexing jobs in New York are:

What are popular job titles related to Indexing jobs in New York?

For Indexing jobs in New York, the most frequently searched job titles are:

What cities in New York are hiring for Indexing jobs?

Cities in New York with the most Indexing job openings:

Infographic showing various Indexing job openings in New York as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $43,272 per year, or $20.8 per hour.

Senior Director, Index Research & Development

Intercontinental Exchange Holdings, Inc.

Manhattan, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago


Key responsibilities

  • Lead the design, development, and implementation of next-generation index methodologies.

  • Collaborate with teams and stakeholders to translate research insights into index products and ensure methodologies are validated and maintained.

  • Present research findings and recommendations to executive leadership and external stakeholders.


Job description

Overview
Job Purpose
We are seeking an exceptional Senior Director of Index Research & Development to lead our Index Research & Development team in designing, developing, and implementing next-generation index methodologies. This strategic leadership role will drive innovation in index construction, backtesting new ideas and approaches to provide solutions to evolving investor needs. While the core role is the development of new indices and approaches to index construction, a critical part of the role is to also deliver thought leadership to our clients and put ICE Data Indices at the forefront of innovation in index design. This Index R&D role is not confined to any specific asset segment boundaries. Suitable candidates are expected to be deeply knowledgeable of fixed income securities and analytics, but also familiar with equities and commodity futures, swaps, etc., and all associated quantitative methods for analyzing risk and return of these market segments.
Responsibilities
  • Strategic Leadership
    • Define and execute the strategic vision for Index R&D initiatives aligned with business objectives
    • Lead, mentor, and develop a team of quantitative researchers, data scientists, and index specialists
    • Collaborate with senior leadership to identify market opportunities and drive product innovation
    • Establish research priorities and allocate resources across multiple concurrent projects
    • Present research findings and recommendations to executive leadership and external stakeholders
  • Index Methodology & Research
    • Design and develop sophisticated index methodologies incorporating advanced quantitative techniques
    • Conduct rigorous research on factor models, portfolio construction, and risk-adjusted performance optimization
    • Evaluate and implement cutting-edge approaches to index weighting, rebalancing, and constituent selection
    • Perform quantitative analysis of market microstructure, liquidity dynamics, and transaction cost modeling
    • Develop proprietary frameworks for ESG integration, thematic indices, and alternative beta strategies
  • Technical Innovation
    • Architect scalable quantitative frameworks and computational infrastructure for index calculation and backtesting
    • Implement advanced numerical methods including optimization algorithms, Monte Carlo simulation, and machine learning techniques
    • Develop automated data pipelines and analytical tools to enhance research productivity
    • Ensure robust validation, testing, and quality control of all methodologies and systems
    • Stay current with academic research and industry best practices in quantitative finance
  • Cross-Functional Collaboration
    • Partner with Product Management to translate research insights into commercially viable index products
    • Collaborate with Index Operations to ensure seamless implementation and maintenance of methodologies
    • Work with Sales and Client Services teams to provide technical expertise and thought leadership
    • Engage with external clients, consultants, and industry partners on complex quantitative challenges
    • Contribute to white papers, publications, and conference presentations to enhance firm visibility

Knowledge and Experience
  • Advanced degree (Ph.D. or Master's) in Quantitative Finance, Financial Engineering, Mathematics, Statistics, Computer Science, Physics, or related quantitative field
  • 10+ years of progressive experience in quantitative research within indices, asset management, investment banking, or financial markets
  • Proven track record of developing and implementing quantitative methodologies in production environments
  • 5+ years of leadership experience managing quantitative research or analytics teams
  • Programming: Expert-level proficiency in Python for quantitative analysis, statistical modeling, and automation
  • Database: Advanced SQL skills for complex data extraction, transformation, and analysis
  • Numerical Methods: Deep expertise in advanced numerical techniques including:
    • Optimization algorithms (linear, quadratic, convex, non-convex)
    • Stochastic calculus and time series analysis
    • Numerical linear algebra and matrix computations
    • Monte Carlo methods and statistical simulation
    • Computational efficiency and algorithm design
  • Strong understanding of index construction methodologies, factor models, and portfolio theory
  • Experience with distributed computing frameworks and large-scale data processing
  • Comprehensive knowledge of global equity, fixed income, commodity, and/or multi-asset indices
  • Deep understanding of market microstructure, trading mechanisms, and regulatory frameworks
  • Expertise in risk modeling, performance attribution, and quantitative portfolio analytics
  • Familiarity with benchmark governance, index licensing, and industry standards (IOSCO principles)

Preferred Knowledge and Experience
  • Machine learning and predictive modeling (supervised and unsupervised learning)
  • Feature engineering and dimensionality reduction techniques
  • Natural language processing for alternative data analysis
  • Deep learning frameworks (TensorFlow, PyTorch) for financial applications
  • Experience with R, MATLAB, C++, or Julia
  • Cloud computing platforms (AWS, Azure, Google Cloud)
  • Big data technologies (Spark, Hadoop, Databricks)
  • Version control (Git) and DevOps practices
  • Published research in peer-reviewed journals or industry publications
  • CFA, FRM, or other relevant professional certifications
  • Experience with ESG data, alternative data sources, and climate risk analytics
  • Track record of patent applications or proprietary methodology development

New York Base Salary Range
The expected base salary for this role, if located in New York, is between $242,00 - 320,00 USD. The base salary range does not include Intercontinental Exchange's incentive compensation. While we provide this range as general guidance, at ICE we compensate employees based on the skillset and experience of the individual. Regular full-time ICE employees are eligible for a suite of competitive employee benefits, including healthcare coverage (medical, dental and vision), a 401(k) plan, life insurance, time off, and paid leave for qualifying circumstances.
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Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.