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Text Analytics Jobs in New York (NOW HIRING)

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$70.6K

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How much do text analytics jobs pay per year?

As of Sep 10, 2026, the average yearly pay for text analytics in New York is $137,111.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,400.00 and $163,000.00 per year, depending on experience, location, and employer.

What is a text analytics?

A Text Analytics job involves extracting meaningful insights from unstructured text data using techniques like Natural Language Processing (NLP), machine learning, and statistical methods. Professionals in this field analyze text from sources such as customer reviews, social media, and documents to identify patterns, sentiment, and trends. Their work helps businesses make data-driven decisions, automate processes, and improve customer experiences. Common responsibilities include text preprocessing, developing models, and visualizing results for stakeholders.

What does a text analytics do?

Professionals in Text Analytics often work on projects such as sentiment analysis, topic modeling, entity recognition, and document classification, drawing insights from unstructured text data. A typical day may involve leveraging machine learning algorithms, cleaning and preprocessing text datasets, and presenting findings to stakeholders via reports or dashboards. Many text analytics specialists collaborate closely with data science teams, software developers, and business analysts to integrate their work into larger products and solutions. These responsibilities not only help organizations better understand customer feedback and market trends but also enable the automation of information extraction and decision-making processes. Over time, excelling in these areas can open doors to senior data science roles, lead analyst positions, or specialized NLP research opportunities.

What are the key skills and qualifications needed to thrive in text analytics?

To thrive in Text Analytics, you need expertise in natural language processing (NLP), data analysis, and strong programming skills in languages such as Python or R, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools like NLTK, SpaCy, TensorFlow, and data visualization platforms, as well as relevant certifications in data science or machine learning, is highly valued. Critical thinking, communication, and problem-solving abilities help professionals interpret complex textual data and convey insights to diverse audiences. These skills are important because they enable you to extract actionable information from large datasets, drive data-driven decision-making, and support organizational goals efficiently.

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

The most popular types of Text Analytics jobs in New York are:

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

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

What job categories do people searching Text Analytics jobs in New York look for?

The top searched job categories for Text Analytics jobs in New York are:

Text Analytics jobs near you
Infographic showing various Text Analytics job openings in New York as of September 2026, with employment types broken down into 2% Internship, 89% Full Time, 7% Part Time, and 2% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution, with an average salary of $137,111 per year, or $65.9 per hour.

Quantitative Research Analyst - Quantitative Analytics Unit

Manhattan, NY • On-site

Risk Professionals, Inc.
See more jobs at Risk Professionals, Inc.external

Other

Posted 19 days ago

Job description

The Office of Risk Analysis (ORS) within Division of Examinations is seeking a Quantitative Research Analyst (Financial Engineer), SK-1501-14 in New York, NY. The Quantitative Analytics Unit (QAU) within ORS is responsible for quantitatively driven analytical projects supporting EXAMS. The QAU applies mathematics, statistics, machine learning, AI and other modern data science methods to further the Division's monitoring and identification of securities laws violations.

Duties

In this role as a Quantitative Research Analyst, you will be responsible for:

  • Being at the forefront of the Division's development and application of text analytics, AI, LLMs, RAGs, Fine-Tuning;
  • Working in modern programming languages such as Python, R, C#/C++, q/kdb+ or functional languages on data analytics projects;
  • Communicating highly technical concepts and issues, including model parameters, to non-technical audiences in an examination context;
  • Researching areas such as the analysis of investment returns, risk and derivatives instruments, employing financial theory, applied mathematics, and hands-on coding;
  • Developing sophisticated modeling to help identify manipulative or disruptive trading; and
  • Support active examinations of registered entities for which advanced analytic methods are required.
BASIC REQUIREMENT:
  • Degree: Mathematics, statistics, or actuarial science. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
  • ORCombination of education and experience: Courses equivalent to a major field of study as shown in paragraph A above, plus additional education or appropriate experience.
  • MINIMUM QUALIFICATION REQUIREMENT: In addition to meeting the basic requirement, applicants must also meet the minimum qualification requirement SK-14: Applicant must have at least one year of specialized experience equivalent to the GS/SK-13 level. Specialized experience includes the following:
  • Applying the theories, principles, and processes of quantitative research to financial and securities industry data; AND
  • Utilizing AI, LLMs, machine learning; AND
  • Modeling and coding in languages such as Python, R, C/C++/C#, kdb+/q in Linux and cloud environment; AND
  • Manipulating large data sets to develop hands-on programmatic applications of probability and statistics.
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