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Nlp Finance Jobs (NOW HIRING)

Point72

NLP Engineer

New York, NY · On-site

We are seeking an NLP engineer to join a quant research team within Point72. The ideal candidate ... Interest in financial markets * Collaborative mindset * Commitment to the highest ethical standards ...

Point72

NLP Engineer

New York, NY · On-site

We are seeking an NLP engineer to join a quant research team within Point72. The ideal candidate ... Interest in financial markets * Collaborative mindset * Commitment to the highest ethical standards ...

Point72

NLP / AI Engineer

New York, NY · On-site

We are seeking a NLP engineer for a NLP research team within Point72. The ideal candidate has a ... Interest in financial markets * Collaborative mindset About Point72: Point72 Asset Management is a ...

Point72

NLP / AI Engineer

New York, NY · On-site

We are seeking a NLP engineer for a NLP research team within Point72. The ideal candidate has a ... Interest in financial markets * Collaborative mindset About Point72: Point72 Asset Management is a ...

NLP Logix

Program Manager

Jacksonville, FL · On-site

$90K - $120K/yr

Jacksonville, FL -- 100% Onsite NLP Logix is seeking a Program Manager to help drive the successful ... Track budgets, forecasts, burn rates, and financial risks. * Identify blockers, coordinate ...

New

NLP Logix

Delivery Operations Analyst

Jacksonville, FL · On-site

$55K - $65K/yr

Delivery Operations Analyst At NLP Logix, we help organizations turn ambitious AI ideas into real ... What You'll Bring * Entry-level, internship, or academic experience in analytics, finance ...

Machinify

Staff Data Scientist | NLP

$180K - $230K/yr

... financial outcomes and drive down healthcare costs. We're hiring a Data Scientist focused on ... Design and train NLP models for tasks like classification, entity extraction, retrieval ...

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All JobsNlp Finance Jobs

Nlp Finance information

See salary details

$37.5K

$122.7K

$196.5K

How much do nlp finance jobs pay per year?

As of Aug 7, 2026, the average yearly pay for nlp finance in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is NLP Finance?

NLP Finance refers to the application of Natural Language Processing (NLP) techniques in the financial industry. NLP is a branch of artificial intelligence that focuses on the interaction between computers and human language. In finance, NLP is used to analyze financial documents, news, social media, and other text data to extract insights, detect trends, and automate processes such as sentiment analysis, risk assessment, and fraud detection. This helps financial institutions make more informed decisions and improve operational efficiency.

What are the key skills and qualifications needed to thrive as an NLP Finance specialist?

To thrive as an NLP Finance Specialist, you need strong expertise in natural language processing, machine learning, and financial data analysis, typically supported by a degree in computer science, data science, or a related field. Proficiency with programming languages like Python, NLP libraries (such as spaCy, NLTK, or Hugging Face), and experience with financial data platforms and APIs are essential. Excellent problem-solving, analytical thinking, and communication skills help you interpret complex financial data and collaborate with stakeholders. These skills are crucial for developing reliable NLP solutions that extract insights from financial texts, driving better decision-making in a fast-paced industry.

How does an NLP Finance professional typically collaborate with data scientists and financial analysts on projects?

NLP Finance professionals often work closely with data scientists and financial analysts to develop models that extract insights from unstructured financial data, such as earnings calls, news articles, and reports. They contribute their expertise in natural language processing by designing algorithms and tools that make this data more accessible and actionable for the team. Effective collaboration usually involves regular meetings to align on project goals, sharing domain-specific knowledge, and integrating NLP outputs into broader financial models or dashboards. Clear communication and a strong understanding of both finance and NLP methodologies are key to successful teamwork in this role.

What is the difference between Nlp Finance vs Data Analyst?

AspectNlp FinanceData Analyst
Required CredentialsDegree in Finance, Computer Science, or related fields; knowledge of NLP toolsBachelor's or higher in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentFinancial institutions, tech companies, or consulting firms focusing on financial dataVarious industries including finance, healthcare, marketing, often in office settings
Employer & Industry UsageFinance firms leveraging NLP for sentiment analysis, risk assessmentOrganizations analyzing large datasets to inform business decisions across sectors

While both roles involve data analysis skills, Nlp Finance specializes in applying natural language processing techniques to financial data, whereas Data Analysts work broadly across industries analyzing diverse datasets. Nlp Finance professionals focus on language-based data within finance, making their expertise more niche compared to the generalist role of Data Analysts.

What cities are hiring for Nlp Finance jobs? Cities with the most Nlp Finance job openings:
What states have the most Nlp Finance jobs? States with the most job openings for Nlp Finance jobs include:
What job categories do people searching Nlp Finance jobs look for? The top searched job categories for Nlp Finance jobs are:
Nlp Finance jobs near you
Infographic showing various Nlp Finance job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

NLP Engineer

Point72

New York, NY • On-site

Full-time

Re-posted 20 days ago

Job description

ROLE/RESPONSIBILTIES:
We are seeking an NLP engineer to join a quant research team within Point72. The ideal candidate has a track record of developing modern NLP solutions, including the use of LLMs, agents, RAG, etc.
We believe the investment world offers unique opportunities to use modern NLP methods.
Responsibilities may include:
  • Exploring and combining rich internal and external textual datasets
  • Formulating research hypothesis to derive alpha
  • Building GenAI solutions, leveraging both internal models and external APIs

REQUIREMENTS:
  • Bachelor, Master's or PhD degree in computer science or another quantitative discipline
  • Experience in NLP, particularly LLMs
  • Proficient in Python, SQL and general software engineering principles (github, testing, etc.)
  • Data science stack familiarity
  • Interest in financial markets
  • Collaborative mindset
  • Commitment to the highest ethical standards

ABOUT POINT72:
Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry's brightest talent by cultivating an investor-led culture and committing to our people's long-term growth.

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