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Applied AI ML Director, Risk Management & Compliance

JP Morgan Chase

Software and Technology Jobs

Applied AI ML Director, Risk Management & Compliance

full-timePosted: Nov 4, 2025

Job Description

Applied AI ML Director, Risk Management & Compliance

Location: LONDON, United Kingdom

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are at the forefront of leveraging artificial intelligence to transform risk management and compliance in the global financial services industry. As the Applied AI ML Director in our Predictive Science team, you will lead innovative efforts to integrate generative AI solutions that enhance decision-making, mitigate risks, and ensure regulatory adherence. Based in our dynamic London office, you will shape the strategic direction of AI applications for areas such as fraud detection, credit risk assessment, and anti-money laundering (AML) processes. This role offers the opportunity to drive cutting-edge GenAI initiatives that not only safeguard our clients' assets but also position JP Morgan Chase as a leader in ethical AI deployment within banking. Your leadership will involve directing a talented team of AI experts to develop scalable models that predict market volatilities, automate compliance reporting, and simulate risk scenarios with unprecedented accuracy. Collaborating closely with business leaders, technology partners, and regulatory experts, you will champion AI governance frameworks to address challenges like data privacy under GDPR and model explainability for Basel III compliance. By fostering a culture of innovation, you will pilot GenAI tools that streamline operations, reduce false positives in risk alerts, and provide actionable insights for senior management, all while upholding JP Morgan's commitment to responsible AI practices in a highly regulated environment. This position is ideal for a visionary leader passionate about the intersection of AI and finance, with the chance to influence enterprise-wide strategies at one of the world's largest financial institutions. You will thrive in a collaborative setting that values diversity, continuous learning, and impactful results, contributing to JP Morgan Chase's mission of powering the progress of global economies through advanced technology.

Key Responsibilities

  • Lead the development and implementation of generative AI strategies to enhance risk management and compliance processes at JP Morgan Chase
  • Oversee a team of AI/ML engineers and data scientists, fostering innovation in predictive modeling for credit, market, and operational risks
  • Collaborate with senior executives to align AI initiatives with firm-wide goals, ensuring compliance with global regulatory standards
  • Drive the adoption of GenAI tools for automating compliance monitoring, fraud detection, and scenario analysis in financial services
  • Identify emerging AI trends and technologies, piloting solutions to mitigate risks in trading, lending, and customer onboarding
  • Ensure ethical AI deployment by establishing governance frameworks to address bias, transparency, and data privacy in risk models
  • Partner with technology and business units to integrate AI solutions into core banking platforms, measuring impact on efficiency and accuracy
  • Mentor and develop talent within the Predictive Science team, promoting a culture of continuous learning in AI for finance
  • Present AI strategy updates to regulatory bodies and internal audit teams, demonstrating robust risk controls
  • Manage budgets and resources for AI projects, optimizing for ROI in a high-stakes financial environment

Required Qualifications

  • Advanced degree (Master's or PhD) in Computer Science, Data Science, Machine Learning, or a related quantitative field
  • 10+ years of experience in AI/ML, with at least 5 years in leadership roles directing teams in financial services or risk management
  • Proven track record of developing and deploying generative AI solutions in regulated environments, such as banking or compliance
  • Deep expertise in risk modeling, compliance frameworks, and regulatory requirements like GDPR, Basel III, and AML
  • Experience leading cross-functional teams in agile environments, with a focus on innovation in predictive analytics
  • Strong understanding of ethical AI practices and bias mitigation in financial decision-making
  • Ability to communicate complex technical concepts to senior stakeholders and regulators

Preferred Qualifications

  • Experience at a major financial institution like JP Morgan Chase or similar, working on AI-driven risk solutions
  • Publications or patents in AI/ML applications for finance, particularly in generative AI for compliance
  • Familiarity with cloud platforms (e.g., AWS, Azure) and scalable AI infrastructure in a global banking context
  • Certification in AI ethics or financial risk management (e.g., FRM, CFA with AI focus)
  • Prior involvement in AI strategy development for enterprise-wide risk and compliance initiatives

Required Skills

  • Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) for building generative AI models
  • Proficiency in Python, R, and SQL for data manipulation and AI pipeline development
  • Knowledge of natural language processing (NLP) and large language models (LLMs) applied to compliance texts
  • Experience with risk analytics tools like SAS, MATLAB, or custom financial modeling software
  • Strong leadership and team management skills in multicultural, high-pressure environments
  • Excellent communication and stakeholder engagement abilities for C-suite and regulatory interactions
  • Deep understanding of financial regulations and AI governance in banking
  • Analytical problem-solving with a focus on ethical AI and bias detection
  • Project management skills using Agile/Scrum methodologies for AI initiatives
  • Familiarity with big data technologies (e.g., Hadoop, Spark) for handling financial datasets
  • Strategic thinking to align AI innovations with business objectives in risk management
  • Adaptability to fast-evolving AI technologies and financial market dynamics
  • Technical writing for documenting AI models and compliance reports

Benefits

  • Competitive base salary and performance-based annual bonus, reflecting JP Morgan's commitment to rewarding excellence
  • Comprehensive health, dental, and vision insurance with global coverage for employees and dependents
  • Generous 401(k) matching and pension contributions, tailored for long-term financial security in the banking sector
  • Unlimited paid time off policy, plus statutory holidays and flexible working arrangements in London
  • Professional development stipend for certifications, conferences, and advanced AI/ML training
  • On-site fitness centers, wellness programs, and mental health support through JP Morgan's employee assistance resources
  • Relocation assistance and expatriate benefits for international roles, including housing and visa support
  • Exclusive access to JP Morgan's learning academy with courses on finance, AI, and leadership

JP Morgan Chase is an equal opportunity employer.

Locations

  • LONDON, GB

Salary

Estimated Salary Rangehigh confidence

350,000 - 650,000 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 machine learning frameworks (e.g., TensorFlow, PyTorch) for building generative AI modelsintermediate
  • Proficiency in Python, R, and SQL for data manipulation and AI pipeline developmentintermediate
  • Knowledge of natural language processing (NLP) and large language models (LLMs) applied to compliance textsintermediate
  • Experience with risk analytics tools like SAS, MATLAB, or custom financial modeling softwareintermediate
  • Strong leadership and team management skills in multicultural, high-pressure environmentsintermediate
  • Excellent communication and stakeholder engagement abilities for C-suite and regulatory interactionsintermediate
  • Deep understanding of financial regulations and AI governance in bankingintermediate
  • Analytical problem-solving with a focus on ethical AI and bias detectionintermediate
  • Project management skills using Agile/Scrum methodologies for AI initiativesintermediate
  • Familiarity with big data technologies (e.g., Hadoop, Spark) for handling financial datasetsintermediate
  • Strategic thinking to align AI innovations with business objectives in risk managementintermediate
  • Adaptability to fast-evolving AI technologies and financial market dynamicsintermediate
  • Technical writing for documenting AI models and compliance reportsintermediate

Required Qualifications

  • Advanced degree (Master's or PhD) in Computer Science, Data Science, Machine Learning, or a related quantitative field (experience)
  • 10+ years of experience in AI/ML, with at least 5 years in leadership roles directing teams in financial services or risk management (experience)
  • Proven track record of developing and deploying generative AI solutions in regulated environments, such as banking or compliance (experience)
  • Deep expertise in risk modeling, compliance frameworks, and regulatory requirements like GDPR, Basel III, and AML (experience)
  • Experience leading cross-functional teams in agile environments, with a focus on innovation in predictive analytics (experience)
  • Strong understanding of ethical AI practices and bias mitigation in financial decision-making (experience)
  • Ability to communicate complex technical concepts to senior stakeholders and regulators (experience)

Preferred Qualifications

  • Experience at a major financial institution like JP Morgan Chase or similar, working on AI-driven risk solutions (experience)
  • Publications or patents in AI/ML applications for finance, particularly in generative AI for compliance (experience)
  • Familiarity with cloud platforms (e.g., AWS, Azure) and scalable AI infrastructure in a global banking context (experience)
  • Certification in AI ethics or financial risk management (e.g., FRM, CFA with AI focus) (experience)
  • Prior involvement in AI strategy development for enterprise-wide risk and compliance initiatives (experience)

Responsibilities

  • Lead the development and implementation of generative AI strategies to enhance risk management and compliance processes at JP Morgan Chase
  • Oversee a team of AI/ML engineers and data scientists, fostering innovation in predictive modeling for credit, market, and operational risks
  • Collaborate with senior executives to align AI initiatives with firm-wide goals, ensuring compliance with global regulatory standards
  • Drive the adoption of GenAI tools for automating compliance monitoring, fraud detection, and scenario analysis in financial services
  • Identify emerging AI trends and technologies, piloting solutions to mitigate risks in trading, lending, and customer onboarding
  • Ensure ethical AI deployment by establishing governance frameworks to address bias, transparency, and data privacy in risk models
  • Partner with technology and business units to integrate AI solutions into core banking platforms, measuring impact on efficiency and accuracy
  • Mentor and develop talent within the Predictive Science team, promoting a culture of continuous learning in AI for finance
  • Present AI strategy updates to regulatory bodies and internal audit teams, demonstrating robust risk controls
  • Manage budgets and resources for AI projects, optimizing for ROI in a high-stakes financial environment

Benefits

  • general: Competitive base salary and performance-based annual bonus, reflecting JP Morgan's commitment to rewarding excellence
  • general: Comprehensive health, dental, and vision insurance with global coverage for employees and dependents
  • general: Generous 401(k) matching and pension contributions, tailored for long-term financial security in the banking sector
  • general: Unlimited paid time off policy, plus statutory holidays and flexible working arrangements in London
  • general: Professional development stipend for certifications, conferences, and advanced AI/ML training
  • general: On-site fitness centers, wellness programs, and mental health support through JP Morgan's employee assistance resources
  • general: Relocation assistance and expatriate benefits for international roles, including housing and visa support
  • general: Exclusive access to JP Morgan's learning academy with courses on finance, AI, and leadership

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JP Morgan Chase logo

Applied AI ML Director, Risk Management & Compliance

JP Morgan Chase

Software and Technology Jobs

Applied AI ML Director, Risk Management & Compliance

full-timePosted: Nov 4, 2025

Job Description

Applied AI ML Director, Risk Management & Compliance

Location: LONDON, United Kingdom

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are at the forefront of leveraging artificial intelligence to transform risk management and compliance in the global financial services industry. As the Applied AI ML Director in our Predictive Science team, you will lead innovative efforts to integrate generative AI solutions that enhance decision-making, mitigate risks, and ensure regulatory adherence. Based in our dynamic London office, you will shape the strategic direction of AI applications for areas such as fraud detection, credit risk assessment, and anti-money laundering (AML) processes. This role offers the opportunity to drive cutting-edge GenAI initiatives that not only safeguard our clients' assets but also position JP Morgan Chase as a leader in ethical AI deployment within banking. Your leadership will involve directing a talented team of AI experts to develop scalable models that predict market volatilities, automate compliance reporting, and simulate risk scenarios with unprecedented accuracy. Collaborating closely with business leaders, technology partners, and regulatory experts, you will champion AI governance frameworks to address challenges like data privacy under GDPR and model explainability for Basel III compliance. By fostering a culture of innovation, you will pilot GenAI tools that streamline operations, reduce false positives in risk alerts, and provide actionable insights for senior management, all while upholding JP Morgan's commitment to responsible AI practices in a highly regulated environment. This position is ideal for a visionary leader passionate about the intersection of AI and finance, with the chance to influence enterprise-wide strategies at one of the world's largest financial institutions. You will thrive in a collaborative setting that values diversity, continuous learning, and impactful results, contributing to JP Morgan Chase's mission of powering the progress of global economies through advanced technology.

Key Responsibilities

  • Lead the development and implementation of generative AI strategies to enhance risk management and compliance processes at JP Morgan Chase
  • Oversee a team of AI/ML engineers and data scientists, fostering innovation in predictive modeling for credit, market, and operational risks
  • Collaborate with senior executives to align AI initiatives with firm-wide goals, ensuring compliance with global regulatory standards
  • Drive the adoption of GenAI tools for automating compliance monitoring, fraud detection, and scenario analysis in financial services
  • Identify emerging AI trends and technologies, piloting solutions to mitigate risks in trading, lending, and customer onboarding
  • Ensure ethical AI deployment by establishing governance frameworks to address bias, transparency, and data privacy in risk models
  • Partner with technology and business units to integrate AI solutions into core banking platforms, measuring impact on efficiency and accuracy
  • Mentor and develop talent within the Predictive Science team, promoting a culture of continuous learning in AI for finance
  • Present AI strategy updates to regulatory bodies and internal audit teams, demonstrating robust risk controls
  • Manage budgets and resources for AI projects, optimizing for ROI in a high-stakes financial environment

Required Qualifications

  • Advanced degree (Master's or PhD) in Computer Science, Data Science, Machine Learning, or a related quantitative field
  • 10+ years of experience in AI/ML, with at least 5 years in leadership roles directing teams in financial services or risk management
  • Proven track record of developing and deploying generative AI solutions in regulated environments, such as banking or compliance
  • Deep expertise in risk modeling, compliance frameworks, and regulatory requirements like GDPR, Basel III, and AML
  • Experience leading cross-functional teams in agile environments, with a focus on innovation in predictive analytics
  • Strong understanding of ethical AI practices and bias mitigation in financial decision-making
  • Ability to communicate complex technical concepts to senior stakeholders and regulators

Preferred Qualifications

  • Experience at a major financial institution like JP Morgan Chase or similar, working on AI-driven risk solutions
  • Publications or patents in AI/ML applications for finance, particularly in generative AI for compliance
  • Familiarity with cloud platforms (e.g., AWS, Azure) and scalable AI infrastructure in a global banking context
  • Certification in AI ethics or financial risk management (e.g., FRM, CFA with AI focus)
  • Prior involvement in AI strategy development for enterprise-wide risk and compliance initiatives

Required Skills

  • Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) for building generative AI models
  • Proficiency in Python, R, and SQL for data manipulation and AI pipeline development
  • Knowledge of natural language processing (NLP) and large language models (LLMs) applied to compliance texts
  • Experience with risk analytics tools like SAS, MATLAB, or custom financial modeling software
  • Strong leadership and team management skills in multicultural, high-pressure environments
  • Excellent communication and stakeholder engagement abilities for C-suite and regulatory interactions
  • Deep understanding of financial regulations and AI governance in banking
  • Analytical problem-solving with a focus on ethical AI and bias detection
  • Project management skills using Agile/Scrum methodologies for AI initiatives
  • Familiarity with big data technologies (e.g., Hadoop, Spark) for handling financial datasets
  • Strategic thinking to align AI innovations with business objectives in risk management
  • Adaptability to fast-evolving AI technologies and financial market dynamics
  • Technical writing for documenting AI models and compliance reports

Benefits

  • Competitive base salary and performance-based annual bonus, reflecting JP Morgan's commitment to rewarding excellence
  • Comprehensive health, dental, and vision insurance with global coverage for employees and dependents
  • Generous 401(k) matching and pension contributions, tailored for long-term financial security in the banking sector
  • Unlimited paid time off policy, plus statutory holidays and flexible working arrangements in London
  • Professional development stipend for certifications, conferences, and advanced AI/ML training
  • On-site fitness centers, wellness programs, and mental health support through JP Morgan's employee assistance resources
  • Relocation assistance and expatriate benefits for international roles, including housing and visa support
  • Exclusive access to JP Morgan's learning academy with courses on finance, AI, and leadership

JP Morgan Chase is an equal opportunity employer.

Locations

  • LONDON, GB

Salary

Estimated Salary Rangehigh confidence

350,000 - 650,000 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 machine learning frameworks (e.g., TensorFlow, PyTorch) for building generative AI modelsintermediate
  • Proficiency in Python, R, and SQL for data manipulation and AI pipeline developmentintermediate
  • Knowledge of natural language processing (NLP) and large language models (LLMs) applied to compliance textsintermediate
  • Experience with risk analytics tools like SAS, MATLAB, or custom financial modeling softwareintermediate
  • Strong leadership and team management skills in multicultural, high-pressure environmentsintermediate
  • Excellent communication and stakeholder engagement abilities for C-suite and regulatory interactionsintermediate
  • Deep understanding of financial regulations and AI governance in bankingintermediate
  • Analytical problem-solving with a focus on ethical AI and bias detectionintermediate
  • Project management skills using Agile/Scrum methodologies for AI initiativesintermediate
  • Familiarity with big data technologies (e.g., Hadoop, Spark) for handling financial datasetsintermediate
  • Strategic thinking to align AI innovations with business objectives in risk managementintermediate
  • Adaptability to fast-evolving AI technologies and financial market dynamicsintermediate
  • Technical writing for documenting AI models and compliance reportsintermediate

Required Qualifications

  • Advanced degree (Master's or PhD) in Computer Science, Data Science, Machine Learning, or a related quantitative field (experience)
  • 10+ years of experience in AI/ML, with at least 5 years in leadership roles directing teams in financial services or risk management (experience)
  • Proven track record of developing and deploying generative AI solutions in regulated environments, such as banking or compliance (experience)
  • Deep expertise in risk modeling, compliance frameworks, and regulatory requirements like GDPR, Basel III, and AML (experience)
  • Experience leading cross-functional teams in agile environments, with a focus on innovation in predictive analytics (experience)
  • Strong understanding of ethical AI practices and bias mitigation in financial decision-making (experience)
  • Ability to communicate complex technical concepts to senior stakeholders and regulators (experience)

Preferred Qualifications

  • Experience at a major financial institution like JP Morgan Chase or similar, working on AI-driven risk solutions (experience)
  • Publications or patents in AI/ML applications for finance, particularly in generative AI for compliance (experience)
  • Familiarity with cloud platforms (e.g., AWS, Azure) and scalable AI infrastructure in a global banking context (experience)
  • Certification in AI ethics or financial risk management (e.g., FRM, CFA with AI focus) (experience)
  • Prior involvement in AI strategy development for enterprise-wide risk and compliance initiatives (experience)

Responsibilities

  • Lead the development and implementation of generative AI strategies to enhance risk management and compliance processes at JP Morgan Chase
  • Oversee a team of AI/ML engineers and data scientists, fostering innovation in predictive modeling for credit, market, and operational risks
  • Collaborate with senior executives to align AI initiatives with firm-wide goals, ensuring compliance with global regulatory standards
  • Drive the adoption of GenAI tools for automating compliance monitoring, fraud detection, and scenario analysis in financial services
  • Identify emerging AI trends and technologies, piloting solutions to mitigate risks in trading, lending, and customer onboarding
  • Ensure ethical AI deployment by establishing governance frameworks to address bias, transparency, and data privacy in risk models
  • Partner with technology and business units to integrate AI solutions into core banking platforms, measuring impact on efficiency and accuracy
  • Mentor and develop talent within the Predictive Science team, promoting a culture of continuous learning in AI for finance
  • Present AI strategy updates to regulatory bodies and internal audit teams, demonstrating robust risk controls
  • Manage budgets and resources for AI projects, optimizing for ROI in a high-stakes financial environment

Benefits

  • general: Competitive base salary and performance-based annual bonus, reflecting JP Morgan's commitment to rewarding excellence
  • general: Comprehensive health, dental, and vision insurance with global coverage for employees and dependents
  • general: Generous 401(k) matching and pension contributions, tailored for long-term financial security in the banking sector
  • general: Unlimited paid time off policy, plus statutory holidays and flexible working arrangements in London
  • general: Professional development stipend for certifications, conferences, and advanced AI/ML training
  • general: On-site fitness centers, wellness programs, and mental health support through JP Morgan's employee assistance resources
  • general: Relocation assistance and expatriate benefits for international roles, including housing and visa support
  • general: Exclusive access to JP Morgan's learning academy with courses on finance, AI, and leadership

Target Your Resume for "Applied AI ML Director, Risk Management & Compliance" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Applied AI ML Director, Risk Management & Compliance. Takes only 15 seconds!

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

Check Your ATS Score for "Applied AI ML Director, Risk Management & Compliance" , 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 Applied AI ML Director, Risk Management & Compliance @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.