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Nlp Finance Jobs (NOW HIRING)

NLP Logix

Agile Delivery Manager

Jacksonville, FL · On-site

$90K - $115K/yr

Agile Delivery Manager NLP Logix is seeking an Agile Delivery Manager to help drive successful ... Experience in financial services, healthcare, government, or other regulated industries. * Bachelor ...

NLP Logix

Agile Delivery Manager

Jacksonville, FL · On-site

NLP Logix is seeking an Agile Delivery Manager to help drive successful client delivery across ... Experience in financial services, healthcare, government, or other regulated industries. • ...

S&P Global

AI+ Finance Lead

Manhattan, NY · On-site

$115 - $201/hr

The ideal candidate has prior experience leading initiatives that harness AI/ML, NLP and GenAI technologies to improve Finance processes, operational efficiency and organizational performance. Key ...

S&P Global

AI+ Finance Lead

New York, NY

$115K/yr

The ideal candidate has prior experience leading initiatives that harness AI/ML, NLP and GenAI technologies to improve Finance processes, operational efficiency and organizational performance. Key ...

Spgi

AI+ Finance Lead

New York, NY · On-site

$115K/yr

The ideal candidate has prior experience leading initiatives that harness AI/ML, NLP and GenAI technologies to improve Finance processes, operational efficiency and organizational performance. Key ...

S&P Global

AI+ Finance Lead

Dallas, TX · On-site

$115 - $201/hr

The ideal candidate has prior experience leading initiatives that harness AI/ML, NLP and GenAI technologies to improve Finance processes, operational efficiency and organizational performance. Key ...

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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.

Agile Delivery Manager

NLP Logix

Jacksonville, FL • On-site

$90K - $115K/yr

Full-time

Re-posted 5 days ago

Job description

Agile Delivery Manager

NLP Logix is seeking an Agile Delivery Manager to help drive successful client delivery across technology, analytics, AI, machine learning, and data-focused projects. This blended Agile and project delivery role combines Scrum Master and Project Manager responsibilities to help teams stay organized, remove blockers, manage delivery risks, and communicate clearly with clients.

This role is ideal for someone who enjoys creating clarity in fast-moving work, coordinating across technical and client-facing teams, and connecting day-to-day sprint execution to broader project commitments.

What Makes This Role Unique

  • Work on client-facing technology and data-driven delivery, including analytics, AI, machine learning, software, and cross-functional product work.
  • Operate at both the Agile team level and the project delivery level.
  • Collaborate across Product, Engineering, Data Science, Client Success, Release Management, and Delivery Operations.
  • Help improve delivery consistency, visibility, communication, and accountability.

Key Responsibilities

  • Facilitate or support Agile ceremonies, including sprint planning, standups, backlog refinement, reviews, and retrospectives.
  • Help teams maintain clear priorities, sprint goals, backlog readiness, and delivery focus.
  • Track blockers, risks, issues, dependencies, milestones, decisions, and action items.
  • Manage delivery execution for assigned client engagements, workstreams, or teams.
  • Coordinate cross-functional work across technical, product, delivery, and client-facing stakeholders.
  • Communicate delivery progress, risks, timeline impacts, readiness needs, and next steps to internal and client stakeholders.
  • Maintain accurate delivery information in tools such as Jira, Azure DevOps, Smartsheet, or similar systems.
  • Support consistent delivery practices, operating rhythms, and continuous improvement.

Required Qualifications

  • 2–4 years of experience in Agile delivery, project delivery, delivery coordination, Scrum Master work, technology delivery, or a related role.
  • Working knowledge of Agile practices, Scrum ceremonies, sprint execution, and backlog flow.
  • Understanding of project delivery fundamentals, including scope, timelines, risks, issues, dependencies, milestones, and action tracking.
  • Experience coordinating work across multiple stakeholders, teams, or workstreams.
  • Strong communication, facilitation, organization, and follow-through skills.
  • Ability to identify risks early, clarify ownership, and drive practical next steps.
  • Ability to work in a fast-moving environment with shifting priorities and evolving client needs.

Preferred Qualifications

  • Experience in client-facing technology delivery, professional services, consulting, software development, analytics, AI, machine learning, or data-focused delivery work.
  • Experience using Jira, Azure DevOps, Smartsheet, MS Project, or similar delivery tools.
  • Experience supporting Agile, software, engineering, data science, or cross-functional product teams.
  • Experience in financial services, healthcare, government, or other regulated industries.
  • Bachelor’s degree in Project Management, Business, Information Systems, Computer Science, Operations, or a related field.
  • Agile, Scrum, CAPM, PMP, PMI-ACP, SAFe, or similar certification.

Additional Information

NLP Logix is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.

NLP Logix participates in E-Verify. Employment eligibility will be verified after an offer of employment has been accepted and Form I-9 has been completed, in accordance with federal requirements.