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Lead NLP Engineer

JP Morgan Chase

Software and Technology Jobs

Lead NLP Engineer

full-timePosted: Oct 1, 2025

Job Description

Lead NLP Engineer

Location: New York, NY, United States

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are at the forefront of leveraging predictive science to drive innovation in the financial services industry. As a Lead NLP Engineer in our Predictive Science team based in New York, NY, you will play a pivotal role in reshaping how we harness natural language processing to unlock insights from vast amounts of unstructured financial data. This position offers the opportunity to lead cutting-edge projects that enhance trading strategies, risk assessment, and customer experiences for one of the world's largest financial institutions. Join a collaborative environment where your expertise in AI and finance can make a tangible impact on global markets. In this leadership role, you will spearhead the development of sophisticated NLP models tailored to the complexities of financial texts, such as analyzing sentiment in earnings calls, extracting key events from news feeds, and automating compliance checks on regulatory documents. Working closely with quants, data engineers, and business leaders, you will integrate these models into JP Morgan's proprietary platforms, ensuring they deliver actionable intelligence while maintaining the highest standards of security and regulatory compliance. Your innovations will directly contribute to predictive analytics that inform investment decisions and mitigate risks in volatile markets. We value engineers who thrive in a fast-paced setting and are passionate about pushing the boundaries of NLP in finance. This role not only demands technical excellence but also the ability to mentor teams and communicate complex concepts to executive stakeholders. With access to JP Morgan's world-class resources, including advanced computing infrastructure and a global network of experts, you will have the platform to advance your career while helping shape the future of banking. If you are ready to lead transformative AI initiatives at the intersection of technology and finance, apply today to join our team in New York.

Key Responsibilities

  • Lead the design, development, and implementation of advanced NLP models to analyze financial texts, sentiment, and market intelligence
  • Collaborate with data scientists, quants, and business stakeholders to integrate NLP solutions into trading, risk management, and compliance systems at JP Morgan Chase
  • Optimize NLP pipelines for efficiency and scalability, handling terabytes of financial data in real-time
  • Conduct research on state-of-the-art NLP techniques, such as large language models (LLMs), and apply them to predictive analytics in capital markets
  • Ensure model robustness, interpretability, and adherence to financial regulations, including bias mitigation in AI-driven decisions
  • Mentor junior engineers and contribute to the NLP Center of Excellence within JP Morgan's Predictive Science team
  • Evaluate and incorporate emerging technologies like multimodal NLP for combining text with financial charts and audio transcripts
  • Drive innovation in fraud detection and customer insights using NLP on transaction narratives and client communications
  • Present findings and model performance to senior leadership to influence strategic decisions in global markets

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Linguistics, or a related field; advanced degree preferred
  • 5+ years of experience in natural language processing (NLP) engineering, with a focus on machine learning applications
  • Proven track record of developing and deploying NLP models in production environments, particularly in financial services
  • Strong proficiency in Python and relevant libraries such as NLTK, spaCy, Transformers, and Hugging Face
  • Experience with large-scale data processing and model optimization for real-time financial applications
  • Familiarity with regulatory compliance in finance, including data privacy standards like GDPR and SEC requirements
  • Ability to collaborate with cross-functional teams in a fast-paced, high-stakes environment

Preferred Qualifications

  • Master's or PhD in NLP, AI, or Computational Linguistics
  • Experience working at a major financial institution, such as investment banking or asset management
  • Background in handling unstructured financial data like market reports, earnings calls, and regulatory filings
  • Knowledge of cloud platforms like AWS or Azure for scalable NLP deployments
  • Publications or contributions to open-source NLP projects

Required Skills

  • Expertise in NLP frameworks (e.g., TensorFlow, PyTorch, BERT variants)
  • Proficiency in Python, Java, or Scala for scalable data processing
  • Experience with vector databases and semantic search (e.g., Pinecone, FAISS)
  • Knowledge of financial domain-specific NLP tasks like named entity recognition for entities (e.g., stocks, companies)
  • Strong machine learning fundamentals, including supervised/unsupervised learning and deep learning
  • Data engineering skills with tools like Apache Spark, Kafka for streaming financial data
  • Familiarity with ethical AI practices and explainable AI in regulated industries
  • Analytical problem-solving for complex financial scenarios
  • Excellent communication skills for technical and non-technical audiences
  • Project management abilities to lead NLP initiatives from ideation to deployment
  • Understanding of big data technologies (e.g., Hadoop, SQL/NoSQL databases)
  • Adaptability to evolving tech stacks in a dynamic banking environment
  • Team collaboration and leadership in agile development cycles

Benefits

  • Competitive base salary and performance-based bonuses aligned with JP Morgan's financial success
  • Comprehensive health, dental, and vision insurance with low employee premiums
  • 401(k) retirement savings plan with generous company matching contributions
  • Paid time off including vacation, sick days, and parental leave
  • Professional development programs, including tuition reimbursement for advanced certifications in AI and finance
  • Wellness initiatives with gym memberships, mental health support, and onsite fitness centers in New York
  • Employee stock purchase plan and access to JP Morgan's global mobility opportunities
  • Hybrid work model with flexibility for remote days and modern office amenities in NYC

JP Morgan Chase is an equal opportunity employer.

Locations

  • New York, US

Salary

Estimated Salary Rangehigh confidence

250,000 - 450,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Expertise in NLP frameworks (e.g., TensorFlow, PyTorch, BERT variants)intermediate
  • Proficiency in Python, Java, or Scala for scalable data processingintermediate
  • Experience with vector databases and semantic search (e.g., Pinecone, FAISS)intermediate
  • Knowledge of financial domain-specific NLP tasks like named entity recognition for entities (e.g., stocks, companies)intermediate
  • Strong machine learning fundamentals, including supervised/unsupervised learning and deep learningintermediate
  • Data engineering skills with tools like Apache Spark, Kafka for streaming financial dataintermediate
  • Familiarity with ethical AI practices and explainable AI in regulated industriesintermediate
  • Analytical problem-solving for complex financial scenariosintermediate
  • Excellent communication skills for technical and non-technical audiencesintermediate
  • Project management abilities to lead NLP initiatives from ideation to deploymentintermediate
  • Understanding of big data technologies (e.g., Hadoop, SQL/NoSQL databases)intermediate
  • Adaptability to evolving tech stacks in a dynamic banking environmentintermediate
  • Team collaboration and leadership in agile development cyclesintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Linguistics, or a related field; advanced degree preferred (experience)
  • 5+ years of experience in natural language processing (NLP) engineering, with a focus on machine learning applications (experience)
  • Proven track record of developing and deploying NLP models in production environments, particularly in financial services (experience)
  • Strong proficiency in Python and relevant libraries such as NLTK, spaCy, Transformers, and Hugging Face (experience)
  • Experience with large-scale data processing and model optimization for real-time financial applications (experience)
  • Familiarity with regulatory compliance in finance, including data privacy standards like GDPR and SEC requirements (experience)
  • Ability to collaborate with cross-functional teams in a fast-paced, high-stakes environment (experience)

Preferred Qualifications

  • Master's or PhD in NLP, AI, or Computational Linguistics (experience)
  • Experience working at a major financial institution, such as investment banking or asset management (experience)
  • Background in handling unstructured financial data like market reports, earnings calls, and regulatory filings (experience)
  • Knowledge of cloud platforms like AWS or Azure for scalable NLP deployments (experience)
  • Publications or contributions to open-source NLP projects (experience)

Responsibilities

  • Lead the design, development, and implementation of advanced NLP models to analyze financial texts, sentiment, and market intelligence
  • Collaborate with data scientists, quants, and business stakeholders to integrate NLP solutions into trading, risk management, and compliance systems at JP Morgan Chase
  • Optimize NLP pipelines for efficiency and scalability, handling terabytes of financial data in real-time
  • Conduct research on state-of-the-art NLP techniques, such as large language models (LLMs), and apply them to predictive analytics in capital markets
  • Ensure model robustness, interpretability, and adherence to financial regulations, including bias mitigation in AI-driven decisions
  • Mentor junior engineers and contribute to the NLP Center of Excellence within JP Morgan's Predictive Science team
  • Evaluate and incorporate emerging technologies like multimodal NLP for combining text with financial charts and audio transcripts
  • Drive innovation in fraud detection and customer insights using NLP on transaction narratives and client communications
  • Present findings and model performance to senior leadership to influence strategic decisions in global markets

Benefits

  • general: Competitive base salary and performance-based bonuses aligned with JP Morgan's financial success
  • general: Comprehensive health, dental, and vision insurance with low employee premiums
  • general: 401(k) retirement savings plan with generous company matching contributions
  • general: Paid time off including vacation, sick days, and parental leave
  • general: Professional development programs, including tuition reimbursement for advanced certifications in AI and finance
  • general: Wellness initiatives with gym memberships, mental health support, and onsite fitness centers in New York
  • general: Employee stock purchase plan and access to JP Morgan's global mobility opportunities
  • general: Hybrid work model with flexibility for remote days and modern office amenities in NYC

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JP Morgan Chase logo

Lead NLP Engineer

JP Morgan Chase

Software and Technology Jobs

Lead NLP Engineer

full-timePosted: Oct 1, 2025

Job Description

Lead NLP Engineer

Location: New York, NY, United States

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are at the forefront of leveraging predictive science to drive innovation in the financial services industry. As a Lead NLP Engineer in our Predictive Science team based in New York, NY, you will play a pivotal role in reshaping how we harness natural language processing to unlock insights from vast amounts of unstructured financial data. This position offers the opportunity to lead cutting-edge projects that enhance trading strategies, risk assessment, and customer experiences for one of the world's largest financial institutions. Join a collaborative environment where your expertise in AI and finance can make a tangible impact on global markets. In this leadership role, you will spearhead the development of sophisticated NLP models tailored to the complexities of financial texts, such as analyzing sentiment in earnings calls, extracting key events from news feeds, and automating compliance checks on regulatory documents. Working closely with quants, data engineers, and business leaders, you will integrate these models into JP Morgan's proprietary platforms, ensuring they deliver actionable intelligence while maintaining the highest standards of security and regulatory compliance. Your innovations will directly contribute to predictive analytics that inform investment decisions and mitigate risks in volatile markets. We value engineers who thrive in a fast-paced setting and are passionate about pushing the boundaries of NLP in finance. This role not only demands technical excellence but also the ability to mentor teams and communicate complex concepts to executive stakeholders. With access to JP Morgan's world-class resources, including advanced computing infrastructure and a global network of experts, you will have the platform to advance your career while helping shape the future of banking. If you are ready to lead transformative AI initiatives at the intersection of technology and finance, apply today to join our team in New York.

Key Responsibilities

  • Lead the design, development, and implementation of advanced NLP models to analyze financial texts, sentiment, and market intelligence
  • Collaborate with data scientists, quants, and business stakeholders to integrate NLP solutions into trading, risk management, and compliance systems at JP Morgan Chase
  • Optimize NLP pipelines for efficiency and scalability, handling terabytes of financial data in real-time
  • Conduct research on state-of-the-art NLP techniques, such as large language models (LLMs), and apply them to predictive analytics in capital markets
  • Ensure model robustness, interpretability, and adherence to financial regulations, including bias mitigation in AI-driven decisions
  • Mentor junior engineers and contribute to the NLP Center of Excellence within JP Morgan's Predictive Science team
  • Evaluate and incorporate emerging technologies like multimodal NLP for combining text with financial charts and audio transcripts
  • Drive innovation in fraud detection and customer insights using NLP on transaction narratives and client communications
  • Present findings and model performance to senior leadership to influence strategic decisions in global markets

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Linguistics, or a related field; advanced degree preferred
  • 5+ years of experience in natural language processing (NLP) engineering, with a focus on machine learning applications
  • Proven track record of developing and deploying NLP models in production environments, particularly in financial services
  • Strong proficiency in Python and relevant libraries such as NLTK, spaCy, Transformers, and Hugging Face
  • Experience with large-scale data processing and model optimization for real-time financial applications
  • Familiarity with regulatory compliance in finance, including data privacy standards like GDPR and SEC requirements
  • Ability to collaborate with cross-functional teams in a fast-paced, high-stakes environment

Preferred Qualifications

  • Master's or PhD in NLP, AI, or Computational Linguistics
  • Experience working at a major financial institution, such as investment banking or asset management
  • Background in handling unstructured financial data like market reports, earnings calls, and regulatory filings
  • Knowledge of cloud platforms like AWS or Azure for scalable NLP deployments
  • Publications or contributions to open-source NLP projects

Required Skills

  • Expertise in NLP frameworks (e.g., TensorFlow, PyTorch, BERT variants)
  • Proficiency in Python, Java, or Scala for scalable data processing
  • Experience with vector databases and semantic search (e.g., Pinecone, FAISS)
  • Knowledge of financial domain-specific NLP tasks like named entity recognition for entities (e.g., stocks, companies)
  • Strong machine learning fundamentals, including supervised/unsupervised learning and deep learning
  • Data engineering skills with tools like Apache Spark, Kafka for streaming financial data
  • Familiarity with ethical AI practices and explainable AI in regulated industries
  • Analytical problem-solving for complex financial scenarios
  • Excellent communication skills for technical and non-technical audiences
  • Project management abilities to lead NLP initiatives from ideation to deployment
  • Understanding of big data technologies (e.g., Hadoop, SQL/NoSQL databases)
  • Adaptability to evolving tech stacks in a dynamic banking environment
  • Team collaboration and leadership in agile development cycles

Benefits

  • Competitive base salary and performance-based bonuses aligned with JP Morgan's financial success
  • Comprehensive health, dental, and vision insurance with low employee premiums
  • 401(k) retirement savings plan with generous company matching contributions
  • Paid time off including vacation, sick days, and parental leave
  • Professional development programs, including tuition reimbursement for advanced certifications in AI and finance
  • Wellness initiatives with gym memberships, mental health support, and onsite fitness centers in New York
  • Employee stock purchase plan and access to JP Morgan's global mobility opportunities
  • Hybrid work model with flexibility for remote days and modern office amenities in NYC

JP Morgan Chase is an equal opportunity employer.

Locations

  • New York, US

Salary

Estimated Salary Rangehigh confidence

250,000 - 450,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Expertise in NLP frameworks (e.g., TensorFlow, PyTorch, BERT variants)intermediate
  • Proficiency in Python, Java, or Scala for scalable data processingintermediate
  • Experience with vector databases and semantic search (e.g., Pinecone, FAISS)intermediate
  • Knowledge of financial domain-specific NLP tasks like named entity recognition for entities (e.g., stocks, companies)intermediate
  • Strong machine learning fundamentals, including supervised/unsupervised learning and deep learningintermediate
  • Data engineering skills with tools like Apache Spark, Kafka for streaming financial dataintermediate
  • Familiarity with ethical AI practices and explainable AI in regulated industriesintermediate
  • Analytical problem-solving for complex financial scenariosintermediate
  • Excellent communication skills for technical and non-technical audiencesintermediate
  • Project management abilities to lead NLP initiatives from ideation to deploymentintermediate
  • Understanding of big data technologies (e.g., Hadoop, SQL/NoSQL databases)intermediate
  • Adaptability to evolving tech stacks in a dynamic banking environmentintermediate
  • Team collaboration and leadership in agile development cyclesintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Linguistics, or a related field; advanced degree preferred (experience)
  • 5+ years of experience in natural language processing (NLP) engineering, with a focus on machine learning applications (experience)
  • Proven track record of developing and deploying NLP models in production environments, particularly in financial services (experience)
  • Strong proficiency in Python and relevant libraries such as NLTK, spaCy, Transformers, and Hugging Face (experience)
  • Experience with large-scale data processing and model optimization for real-time financial applications (experience)
  • Familiarity with regulatory compliance in finance, including data privacy standards like GDPR and SEC requirements (experience)
  • Ability to collaborate with cross-functional teams in a fast-paced, high-stakes environment (experience)

Preferred Qualifications

  • Master's or PhD in NLP, AI, or Computational Linguistics (experience)
  • Experience working at a major financial institution, such as investment banking or asset management (experience)
  • Background in handling unstructured financial data like market reports, earnings calls, and regulatory filings (experience)
  • Knowledge of cloud platforms like AWS or Azure for scalable NLP deployments (experience)
  • Publications or contributions to open-source NLP projects (experience)

Responsibilities

  • Lead the design, development, and implementation of advanced NLP models to analyze financial texts, sentiment, and market intelligence
  • Collaborate with data scientists, quants, and business stakeholders to integrate NLP solutions into trading, risk management, and compliance systems at JP Morgan Chase
  • Optimize NLP pipelines for efficiency and scalability, handling terabytes of financial data in real-time
  • Conduct research on state-of-the-art NLP techniques, such as large language models (LLMs), and apply them to predictive analytics in capital markets
  • Ensure model robustness, interpretability, and adherence to financial regulations, including bias mitigation in AI-driven decisions
  • Mentor junior engineers and contribute to the NLP Center of Excellence within JP Morgan's Predictive Science team
  • Evaluate and incorporate emerging technologies like multimodal NLP for combining text with financial charts and audio transcripts
  • Drive innovation in fraud detection and customer insights using NLP on transaction narratives and client communications
  • Present findings and model performance to senior leadership to influence strategic decisions in global markets

Benefits

  • general: Competitive base salary and performance-based bonuses aligned with JP Morgan's financial success
  • general: Comprehensive health, dental, and vision insurance with low employee premiums
  • general: 401(k) retirement savings plan with generous company matching contributions
  • general: Paid time off including vacation, sick days, and parental leave
  • general: Professional development programs, including tuition reimbursement for advanced certifications in AI and finance
  • general: Wellness initiatives with gym memberships, mental health support, and onsite fitness centers in New York
  • general: Employee stock purchase plan and access to JP Morgan's global mobility opportunities
  • general: Hybrid work model with flexibility for remote days and modern office amenities in NYC

Target Your Resume for "Lead NLP Engineer" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Lead NLP Engineer. Takes only 15 seconds!

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

Check Your ATS Score for "Lead NLP Engineer" , 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

Predictive ScienceFinancial ServicesBankingJP MorganPredictive Science

Answer 10 quick questions to check your fit for Lead NLP Engineer @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.