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AI Research Scientist - Natural Language Processing (NLP) - Senior Associate

JP Morgan Chase

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AI Research Scientist - Natural Language Processing (NLP) - Senior Associate

full-timePosted: Nov 20, 2025

Job Description

AI Research Scientist - Natural Language Processing (NLP) - Senior Associate

Location: New York, NY, United States

Job Family: AI Research

About the Role

JPMorgan Chase & Co. is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. Our AI Research team is at the forefront of exploring and advancing cutting-edge research in artificial intelligence, including machine learning and natural language processing (NLP), to drive innovation in the financial sector. As an AI Research Scientist - Natural Language Processing (NLP) - Senior Associate in our New York office, you will contribute to groundbreaking projects that leverage NLP to enhance fraud detection, automate compliance reporting, and provide actionable insights from vast financial text corpora. This role offers the opportunity to work on high-impact initiatives that directly influence JPMorgan's global operations, blending academic rigor with practical application in a dynamic, collaborative environment. In this position, you will lead research efforts to develop state-of-the-art NLP models tailored to financial services challenges, such as extracting sentiment from market news for trading strategies or generating summaries of regulatory documents. You will collaborate closely with data engineers, product teams, and business leaders to translate research prototypes into scalable solutions that improve efficiency and decision-making across investment banking, consumer banking, and asset management divisions. Your work will involve experimenting with advanced techniques like transformer-based architectures and large language models, ensuring they meet the stringent security and accuracy standards of the financial industry. We seek a passionate researcher who thrives in an interdisciplinary setting and is eager to push the boundaries of AI in finance. At JPMorgan Chase, you will have access to world-class resources, including massive datasets and computational infrastructure, to pursue innovative ideas that can redefine how we serve our clients. Join us to make a meaningful impact on the future of financial services through AI excellence.

Key Responsibilities

  • Conduct cutting-edge research in NLP to develop innovative AI solutions for JPMorgan Chase's financial services
  • Design, implement, and evaluate advanced NLP models for applications like fraud detection, customer sentiment analysis, and automated report generation
  • Collaborate with cross-functional teams including data scientists, engineers, and business stakeholders to integrate AI research into production systems
  • Analyze large-scale financial datasets, including unstructured text from market reports, emails, and regulatory documents
  • Publish research findings in leading AI conferences and contribute to JPMorgan's internal knowledge base
  • Mentor junior researchers and interns on NLP techniques and best practices
  • Stay abreast of emerging trends in AI and NLP, applying them to solve real-world challenges in risk management and investment advisory
  • Ensure AI models comply with financial regulations and ethical standards, focusing on explainability and robustness
  • Prototype and scale NLP solutions to enhance decision-making processes across JPMorgan's global operations
  • Participate in AI Research team initiatives to advance machine learning capabilities in the financial sector

Required Qualifications

  • PhD in Computer Science, Machine Learning, Natural Language Processing, or a related field
  • 3+ years of experience in AI/ML research, with a focus on NLP applications
  • Strong publication record in top-tier conferences such as ACL, EMNLP, or NeurIPS
  • Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow
  • Experience with large-scale data processing and model deployment in production environments
  • Demonstrated ability to collaborate in cross-functional teams within a fast-paced industry setting
  • U.S. work authorization and ability to obtain necessary security clearances for financial services

Preferred Qualifications

  • Experience in financial domain applications of NLP, such as sentiment analysis for market predictions or regulatory compliance
  • Background in generative AI models or transformer architectures applied to financial text data
  • Prior work at a leading tech or financial institution on AI-driven projects
  • Familiarity with ethical AI practices and bias mitigation in NLP systems
  • Contributions to open-source NLP libraries or tools

Required Skills

  • Deep expertise in NLP techniques including BERT, GPT models, and sequence-to-sequence learning
  • Proficiency in Python, PyTorch, TensorFlow, and Hugging Face Transformers
  • Strong knowledge of machine learning algorithms and statistical methods
  • Experience with data preprocessing, feature engineering, and handling imbalanced financial datasets
  • Familiarity with cloud platforms like AWS or Azure for scalable AI deployments
  • Analytical problem-solving skills for complex financial use cases
  • Excellent communication skills for presenting research to non-technical stakeholders
  • Team collaboration and project management abilities
  • Understanding of financial concepts such as risk assessment and market analysis
  • Proficiency in version control (Git) and agile development methodologies
  • Knowledge of ethical AI, model interpretability, and regulatory compliance (e.g., GDPR, SEC rules)
  • Experience with big data tools like Spark or Hadoop for text processing
  • Strong research mindset with ability to innovate and experiment
  • Adaptability to fast-paced environments in the financial services industry

Benefits

  • Competitive base salary and performance-based annual bonuses
  • Comprehensive health, dental, and vision insurance plans
  • 401(k) retirement savings plan with generous company matching
  • Paid time off, including vacation, sick days, and parental leave
  • Professional development opportunities, including tuition reimbursement and access to AI conferences
  • Wellness programs with gym memberships and mental health support
  • Employee stock purchase plan and financial planning services
  • Flexible work arrangements, including hybrid options in New York

JP Morgan Chase is an equal opportunity employer.

Locations

  • New York, US

Salary

Estimated Salary Rangehigh confidence

250,000 - 400,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Deep expertise in NLP techniques including BERT, GPT models, and sequence-to-sequence learningintermediate
  • Proficiency in Python, PyTorch, TensorFlow, and Hugging Face Transformersintermediate
  • Strong knowledge of machine learning algorithms and statistical methodsintermediate
  • Experience with data preprocessing, feature engineering, and handling imbalanced financial datasetsintermediate
  • Familiarity with cloud platforms like AWS or Azure for scalable AI deploymentsintermediate
  • Analytical problem-solving skills for complex financial use casesintermediate
  • Excellent communication skills for presenting research to non-technical stakeholdersintermediate
  • Team collaboration and project management abilitiesintermediate
  • Understanding of financial concepts such as risk assessment and market analysisintermediate
  • Proficiency in version control (Git) and agile development methodologiesintermediate
  • Knowledge of ethical AI, model interpretability, and regulatory compliance (e.g., GDPR, SEC rules)intermediate
  • Experience with big data tools like Spark or Hadoop for text processingintermediate
  • Strong research mindset with ability to innovate and experimentintermediate
  • Adaptability to fast-paced environments in the financial services industryintermediate

Required Qualifications

  • PhD in Computer Science, Machine Learning, Natural Language Processing, or a related field (experience)
  • 3+ years of experience in AI/ML research, with a focus on NLP applications (experience)
  • Strong publication record in top-tier conferences such as ACL, EMNLP, or NeurIPS (experience)
  • Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow (experience)
  • Experience with large-scale data processing and model deployment in production environments (experience)
  • Demonstrated ability to collaborate in cross-functional teams within a fast-paced industry setting (experience)
  • U.S. work authorization and ability to obtain necessary security clearances for financial services (experience)

Preferred Qualifications

  • Experience in financial domain applications of NLP, such as sentiment analysis for market predictions or regulatory compliance (experience)
  • Background in generative AI models or transformer architectures applied to financial text data (experience)
  • Prior work at a leading tech or financial institution on AI-driven projects (experience)
  • Familiarity with ethical AI practices and bias mitigation in NLP systems (experience)
  • Contributions to open-source NLP libraries or tools (experience)

Responsibilities

  • Conduct cutting-edge research in NLP to develop innovative AI solutions for JPMorgan Chase's financial services
  • Design, implement, and evaluate advanced NLP models for applications like fraud detection, customer sentiment analysis, and automated report generation
  • Collaborate with cross-functional teams including data scientists, engineers, and business stakeholders to integrate AI research into production systems
  • Analyze large-scale financial datasets, including unstructured text from market reports, emails, and regulatory documents
  • Publish research findings in leading AI conferences and contribute to JPMorgan's internal knowledge base
  • Mentor junior researchers and interns on NLP techniques and best practices
  • Stay abreast of emerging trends in AI and NLP, applying them to solve real-world challenges in risk management and investment advisory
  • Ensure AI models comply with financial regulations and ethical standards, focusing on explainability and robustness
  • Prototype and scale NLP solutions to enhance decision-making processes across JPMorgan's global operations
  • Participate in AI Research team initiatives to advance machine learning capabilities in the financial sector

Benefits

  • general: Competitive base salary and performance-based annual bonuses
  • general: Comprehensive health, dental, and vision insurance plans
  • general: 401(k) retirement savings plan with generous company matching
  • general: Paid time off, including vacation, sick days, and parental leave
  • general: Professional development opportunities, including tuition reimbursement and access to AI conferences
  • general: Wellness programs with gym memberships and mental health support
  • general: Employee stock purchase plan and financial planning services
  • general: Flexible work arrangements, including hybrid options in New York

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JP Morgan Chase logo

AI Research Scientist - Natural Language Processing (NLP) - Senior Associate

JP Morgan Chase

Software and Technology Jobs

AI Research Scientist - Natural Language Processing (NLP) - Senior Associate

full-timePosted: Nov 20, 2025

Job Description

AI Research Scientist - Natural Language Processing (NLP) - Senior Associate

Location: New York, NY, United States

Job Family: AI Research

About the Role

JPMorgan Chase & Co. is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. Our AI Research team is at the forefront of exploring and advancing cutting-edge research in artificial intelligence, including machine learning and natural language processing (NLP), to drive innovation in the financial sector. As an AI Research Scientist - Natural Language Processing (NLP) - Senior Associate in our New York office, you will contribute to groundbreaking projects that leverage NLP to enhance fraud detection, automate compliance reporting, and provide actionable insights from vast financial text corpora. This role offers the opportunity to work on high-impact initiatives that directly influence JPMorgan's global operations, blending academic rigor with practical application in a dynamic, collaborative environment. In this position, you will lead research efforts to develop state-of-the-art NLP models tailored to financial services challenges, such as extracting sentiment from market news for trading strategies or generating summaries of regulatory documents. You will collaborate closely with data engineers, product teams, and business leaders to translate research prototypes into scalable solutions that improve efficiency and decision-making across investment banking, consumer banking, and asset management divisions. Your work will involve experimenting with advanced techniques like transformer-based architectures and large language models, ensuring they meet the stringent security and accuracy standards of the financial industry. We seek a passionate researcher who thrives in an interdisciplinary setting and is eager to push the boundaries of AI in finance. At JPMorgan Chase, you will have access to world-class resources, including massive datasets and computational infrastructure, to pursue innovative ideas that can redefine how we serve our clients. Join us to make a meaningful impact on the future of financial services through AI excellence.

Key Responsibilities

  • Conduct cutting-edge research in NLP to develop innovative AI solutions for JPMorgan Chase's financial services
  • Design, implement, and evaluate advanced NLP models for applications like fraud detection, customer sentiment analysis, and automated report generation
  • Collaborate with cross-functional teams including data scientists, engineers, and business stakeholders to integrate AI research into production systems
  • Analyze large-scale financial datasets, including unstructured text from market reports, emails, and regulatory documents
  • Publish research findings in leading AI conferences and contribute to JPMorgan's internal knowledge base
  • Mentor junior researchers and interns on NLP techniques and best practices
  • Stay abreast of emerging trends in AI and NLP, applying them to solve real-world challenges in risk management and investment advisory
  • Ensure AI models comply with financial regulations and ethical standards, focusing on explainability and robustness
  • Prototype and scale NLP solutions to enhance decision-making processes across JPMorgan's global operations
  • Participate in AI Research team initiatives to advance machine learning capabilities in the financial sector

Required Qualifications

  • PhD in Computer Science, Machine Learning, Natural Language Processing, or a related field
  • 3+ years of experience in AI/ML research, with a focus on NLP applications
  • Strong publication record in top-tier conferences such as ACL, EMNLP, or NeurIPS
  • Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow
  • Experience with large-scale data processing and model deployment in production environments
  • Demonstrated ability to collaborate in cross-functional teams within a fast-paced industry setting
  • U.S. work authorization and ability to obtain necessary security clearances for financial services

Preferred Qualifications

  • Experience in financial domain applications of NLP, such as sentiment analysis for market predictions or regulatory compliance
  • Background in generative AI models or transformer architectures applied to financial text data
  • Prior work at a leading tech or financial institution on AI-driven projects
  • Familiarity with ethical AI practices and bias mitigation in NLP systems
  • Contributions to open-source NLP libraries or tools

Required Skills

  • Deep expertise in NLP techniques including BERT, GPT models, and sequence-to-sequence learning
  • Proficiency in Python, PyTorch, TensorFlow, and Hugging Face Transformers
  • Strong knowledge of machine learning algorithms and statistical methods
  • Experience with data preprocessing, feature engineering, and handling imbalanced financial datasets
  • Familiarity with cloud platforms like AWS or Azure for scalable AI deployments
  • Analytical problem-solving skills for complex financial use cases
  • Excellent communication skills for presenting research to non-technical stakeholders
  • Team collaboration and project management abilities
  • Understanding of financial concepts such as risk assessment and market analysis
  • Proficiency in version control (Git) and agile development methodologies
  • Knowledge of ethical AI, model interpretability, and regulatory compliance (e.g., GDPR, SEC rules)
  • Experience with big data tools like Spark or Hadoop for text processing
  • Strong research mindset with ability to innovate and experiment
  • Adaptability to fast-paced environments in the financial services industry

Benefits

  • Competitive base salary and performance-based annual bonuses
  • Comprehensive health, dental, and vision insurance plans
  • 401(k) retirement savings plan with generous company matching
  • Paid time off, including vacation, sick days, and parental leave
  • Professional development opportunities, including tuition reimbursement and access to AI conferences
  • Wellness programs with gym memberships and mental health support
  • Employee stock purchase plan and financial planning services
  • Flexible work arrangements, including hybrid options in New York

JP Morgan Chase is an equal opportunity employer.

Locations

  • New York, US

Salary

Estimated Salary Rangehigh confidence

250,000 - 400,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Deep expertise in NLP techniques including BERT, GPT models, and sequence-to-sequence learningintermediate
  • Proficiency in Python, PyTorch, TensorFlow, and Hugging Face Transformersintermediate
  • Strong knowledge of machine learning algorithms and statistical methodsintermediate
  • Experience with data preprocessing, feature engineering, and handling imbalanced financial datasetsintermediate
  • Familiarity with cloud platforms like AWS or Azure for scalable AI deploymentsintermediate
  • Analytical problem-solving skills for complex financial use casesintermediate
  • Excellent communication skills for presenting research to non-technical stakeholdersintermediate
  • Team collaboration and project management abilitiesintermediate
  • Understanding of financial concepts such as risk assessment and market analysisintermediate
  • Proficiency in version control (Git) and agile development methodologiesintermediate
  • Knowledge of ethical AI, model interpretability, and regulatory compliance (e.g., GDPR, SEC rules)intermediate
  • Experience with big data tools like Spark or Hadoop for text processingintermediate
  • Strong research mindset with ability to innovate and experimentintermediate
  • Adaptability to fast-paced environments in the financial services industryintermediate

Required Qualifications

  • PhD in Computer Science, Machine Learning, Natural Language Processing, or a related field (experience)
  • 3+ years of experience in AI/ML research, with a focus on NLP applications (experience)
  • Strong publication record in top-tier conferences such as ACL, EMNLP, or NeurIPS (experience)
  • Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow (experience)
  • Experience with large-scale data processing and model deployment in production environments (experience)
  • Demonstrated ability to collaborate in cross-functional teams within a fast-paced industry setting (experience)
  • U.S. work authorization and ability to obtain necessary security clearances for financial services (experience)

Preferred Qualifications

  • Experience in financial domain applications of NLP, such as sentiment analysis for market predictions or regulatory compliance (experience)
  • Background in generative AI models or transformer architectures applied to financial text data (experience)
  • Prior work at a leading tech or financial institution on AI-driven projects (experience)
  • Familiarity with ethical AI practices and bias mitigation in NLP systems (experience)
  • Contributions to open-source NLP libraries or tools (experience)

Responsibilities

  • Conduct cutting-edge research in NLP to develop innovative AI solutions for JPMorgan Chase's financial services
  • Design, implement, and evaluate advanced NLP models for applications like fraud detection, customer sentiment analysis, and automated report generation
  • Collaborate with cross-functional teams including data scientists, engineers, and business stakeholders to integrate AI research into production systems
  • Analyze large-scale financial datasets, including unstructured text from market reports, emails, and regulatory documents
  • Publish research findings in leading AI conferences and contribute to JPMorgan's internal knowledge base
  • Mentor junior researchers and interns on NLP techniques and best practices
  • Stay abreast of emerging trends in AI and NLP, applying them to solve real-world challenges in risk management and investment advisory
  • Ensure AI models comply with financial regulations and ethical standards, focusing on explainability and robustness
  • Prototype and scale NLP solutions to enhance decision-making processes across JPMorgan's global operations
  • Participate in AI Research team initiatives to advance machine learning capabilities in the financial sector

Benefits

  • general: Competitive base salary and performance-based annual bonuses
  • general: Comprehensive health, dental, and vision insurance plans
  • general: 401(k) retirement savings plan with generous company matching
  • general: Paid time off, including vacation, sick days, and parental leave
  • general: Professional development opportunities, including tuition reimbursement and access to AI conferences
  • general: Wellness programs with gym memberships and mental health support
  • general: Employee stock purchase plan and financial planning services
  • general: Flexible work arrangements, including hybrid options in New York

Target Your Resume for "AI Research Scientist - Natural Language Processing (NLP) - Senior Associate" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for AI Research Scientist - Natural Language Processing (NLP) - Senior Associate. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "AI Research Scientist - Natural Language Processing (NLP) - Senior Associate" , JP Morgan Chase

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

AI ResearchFinancial ServicesBankingJP MorganAI Research

Answer 10 quick questions to check your fit for AI Research Scientist - Natural Language Processing (NLP) - Senior Associate @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.