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Card Fraud Strategy – 1st Party Fraud - Executive Director

JP Morgan Chase

Finance Jobs

Card Fraud Strategy – 1st Party Fraud - Executive Director

full-timePosted: Oct 20, 2025

Job Description

Card Fraud Strategy – 1st Party Fraud - Executive Director

Location: Wilmington, DE, United States

Job Family: Risk Analytics/Modeling

About the Role

At JP Morgan Chase, we are at the forefront of financial innovation, and our Card Fraud Strategy team plays a critical role in safeguarding our clients' assets against evolving threats. As an Executive Director in Card Fraud Strategy – 1st Party Fraud, you will lead the charge in developing and executing robust strategies to combat first-party fraud, such as application fraud and identity manipulation, within our extensive card portfolio. Based in Wilmington, DE, this role within the Risk Analytics/Modeling category demands a strategic leader who can blend deep industry knowledge with cutting-edge analytics to minimize fraud losses while preserving exceptional customer experiences. You will report to senior risk leadership and collaborate across Chase's Consumer Banking and Payments divisions to drive proactive fraud prevention. Your primary focus will be on leveraging advanced data analytics and machine learning to identify fraud patterns early in the card lifecycle, from application to ongoing account monitoring. Responsibilities include overseeing the design of detection models, conducting in-depth trend analyses, and integrating insights into operational workflows. At JP Morgan Chase, you'll have access to vast datasets and state-of-the-art tools to innovate solutions that align with our commitment to regulatory compliance and ethical standards. This position requires not only technical acumen but also the ability to influence cross-functional partners, including technology, compliance, and product teams, to implement scalable fraud mitigation tactics. Joining JP Morgan Chase means contributing to a global leader in financial services where your expertise will directly impact millions of customers. We value diversity, inclusion, and professional growth, offering opportunities to lead high-impact projects that shape the future of fraud prevention in the payments industry. If you are passionate about risk management and ready to tackle sophisticated first-party fraud challenges, this role provides a platform to make a lasting difference in a dynamic, supportive environment.

Key Responsibilities

  • Develop and lead comprehensive strategies to detect and prevent first-party fraud in JP Morgan Chase's card portfolio, including credit and debit products
  • Collaborate with cross-functional teams, including data scientists, product managers, and compliance officers, to enhance fraud detection models
  • Analyze fraud trends and patterns using advanced analytics to identify emerging risks and recommend mitigation tactics
  • Oversee the implementation of fraud prevention tools and technologies, ensuring alignment with regulatory standards and business objectives
  • Monitor key performance metrics for fraud losses, detection rates, and customer impact, reporting insights to senior leadership
  • Drive innovation in fraud strategy by leveraging AI, machine learning, and big data to stay ahead of sophisticated fraud schemes
  • Conduct risk assessments and scenario planning for first-party fraud scenarios, such as application fraud and identity manipulation
  • Partner with external stakeholders, including law enforcement and industry groups, to share intelligence on fraud tactics
  • Mentor and develop a team of fraud analysts, fostering a culture of continuous improvement and knowledge sharing
  • Ensure all fraud strategies comply with JP Morgan Chase's ethical standards and global regulatory frameworks

Required Qualifications

  • Bachelor's degree in Finance, Economics, Statistics, Computer Science, or a related field; advanced degree (Master's or PhD) preferred
  • 10+ years of experience in fraud prevention, risk management, or analytics within the financial services industry
  • Proven track record in developing and implementing fraud detection strategies, particularly for first-party fraud in card products
  • Deep knowledge of payment card industry standards (e.g., PCI DSS) and regulatory requirements (e.g., GLBA, FCRA)
  • Experience leading cross-functional teams in a large-scale financial institution
  • Strong analytical skills with proficiency in data analysis and statistical modeling
  • Ability to thrive in a fast-paced, high-stakes environment with a focus on innovation and risk mitigation

Preferred Qualifications

  • Experience at a major financial institution like JP Morgan Chase or similar
  • Certification in fraud examination (e.g., CFE) or risk management (e.g., FRM)
  • Background in machine learning applications for fraud detection
  • Familiarity with JP Morgan Chase's internal tools and systems for risk analytics
  • Prior leadership role in combating synthetic identity fraud or account takeover scenarios

Required Skills

  • Advanced proficiency in SQL, Python, or R for data querying and analysis
  • Expertise in statistical modeling and predictive analytics
  • Knowledge of machine learning algorithms for anomaly detection
  • Familiarity with big data tools like Hadoop, Spark, or cloud platforms (e.g., AWS, Azure)
  • Strong understanding of fraud typologies, including first-party and synthetic fraud
  • Excellent communication and presentation skills for stakeholder engagement
  • Project management abilities to lead initiatives from concept to execution
  • Analytical thinking and problem-solving in complex, data-driven environments
  • Leadership and team-building skills in a collaborative setting
  • Regulatory knowledge specific to financial services and card issuing
  • Proficiency in visualization tools like Tableau or Power BI
  • Risk assessment and scenario modeling expertise
  • Adaptability to evolving fraud threats and technologies
  • Ethical decision-making in high-pressure situations

Benefits

  • Competitive base salary and performance-based annual bonus
  • Comprehensive health, dental, and vision insurance plans
  • 401(k) retirement savings plan with generous company match
  • Paid time off, including vacation, sick days, and parental leave
  • Professional development opportunities, including tuition reimbursement and leadership training
  • Employee stock purchase plan and financial wellness programs
  • On-site fitness centers and wellness initiatives at JP Morgan Chase locations
  • Flexible work arrangements, including hybrid options in Wilmington, DE

JP Morgan Chase is an equal opportunity employer.

Locations

  • Wilmington, US

Salary

Estimated Salary Rangehigh confidence

350,000 - 550,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Advanced proficiency in SQL, Python, or R for data querying and analysisintermediate
  • Expertise in statistical modeling and predictive analyticsintermediate
  • Knowledge of machine learning algorithms for anomaly detectionintermediate
  • Familiarity with big data tools like Hadoop, Spark, or cloud platforms (e.g., AWS, Azure)intermediate
  • Strong understanding of fraud typologies, including first-party and synthetic fraudintermediate
  • Excellent communication and presentation skills for stakeholder engagementintermediate
  • Project management abilities to lead initiatives from concept to executionintermediate
  • Analytical thinking and problem-solving in complex, data-driven environmentsintermediate
  • Leadership and team-building skills in a collaborative settingintermediate
  • Regulatory knowledge specific to financial services and card issuingintermediate
  • Proficiency in visualization tools like Tableau or Power BIintermediate
  • Risk assessment and scenario modeling expertiseintermediate
  • Adaptability to evolving fraud threats and technologiesintermediate
  • Ethical decision-making in high-pressure situationsintermediate

Required Qualifications

  • Bachelor's degree in Finance, Economics, Statistics, Computer Science, or a related field; advanced degree (Master's or PhD) preferred (experience)
  • 10+ years of experience in fraud prevention, risk management, or analytics within the financial services industry (experience)
  • Proven track record in developing and implementing fraud detection strategies, particularly for first-party fraud in card products (experience)
  • Deep knowledge of payment card industry standards (e.g., PCI DSS) and regulatory requirements (e.g., GLBA, FCRA) (experience)
  • Experience leading cross-functional teams in a large-scale financial institution (experience)
  • Strong analytical skills with proficiency in data analysis and statistical modeling (experience)
  • Ability to thrive in a fast-paced, high-stakes environment with a focus on innovation and risk mitigation (experience)

Preferred Qualifications

  • Experience at a major financial institution like JP Morgan Chase or similar (experience)
  • Certification in fraud examination (e.g., CFE) or risk management (e.g., FRM) (experience)
  • Background in machine learning applications for fraud detection (experience)
  • Familiarity with JP Morgan Chase's internal tools and systems for risk analytics (experience)
  • Prior leadership role in combating synthetic identity fraud or account takeover scenarios (experience)

Responsibilities

  • Develop and lead comprehensive strategies to detect and prevent first-party fraud in JP Morgan Chase's card portfolio, including credit and debit products
  • Collaborate with cross-functional teams, including data scientists, product managers, and compliance officers, to enhance fraud detection models
  • Analyze fraud trends and patterns using advanced analytics to identify emerging risks and recommend mitigation tactics
  • Oversee the implementation of fraud prevention tools and technologies, ensuring alignment with regulatory standards and business objectives
  • Monitor key performance metrics for fraud losses, detection rates, and customer impact, reporting insights to senior leadership
  • Drive innovation in fraud strategy by leveraging AI, machine learning, and big data to stay ahead of sophisticated fraud schemes
  • Conduct risk assessments and scenario planning for first-party fraud scenarios, such as application fraud and identity manipulation
  • Partner with external stakeholders, including law enforcement and industry groups, to share intelligence on fraud tactics
  • Mentor and develop a team of fraud analysts, fostering a culture of continuous improvement and knowledge sharing
  • Ensure all fraud strategies comply with JP Morgan Chase's ethical standards and global regulatory frameworks

Benefits

  • general: Competitive base salary and performance-based annual bonus
  • general: Comprehensive health, dental, and vision insurance plans
  • general: 401(k) retirement savings plan with generous company match
  • general: Paid time off, including vacation, sick days, and parental leave
  • general: Professional development opportunities, including tuition reimbursement and leadership training
  • general: Employee stock purchase plan and financial wellness programs
  • general: On-site fitness centers and wellness initiatives at JP Morgan Chase locations
  • general: Flexible work arrangements, including hybrid options in Wilmington, DE

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JP Morgan Chase logo

Card Fraud Strategy – 1st Party Fraud - Executive Director

JP Morgan Chase

Finance Jobs

Card Fraud Strategy – 1st Party Fraud - Executive Director

full-timePosted: Oct 20, 2025

Job Description

Card Fraud Strategy – 1st Party Fraud - Executive Director

Location: Wilmington, DE, United States

Job Family: Risk Analytics/Modeling

About the Role

At JP Morgan Chase, we are at the forefront of financial innovation, and our Card Fraud Strategy team plays a critical role in safeguarding our clients' assets against evolving threats. As an Executive Director in Card Fraud Strategy – 1st Party Fraud, you will lead the charge in developing and executing robust strategies to combat first-party fraud, such as application fraud and identity manipulation, within our extensive card portfolio. Based in Wilmington, DE, this role within the Risk Analytics/Modeling category demands a strategic leader who can blend deep industry knowledge with cutting-edge analytics to minimize fraud losses while preserving exceptional customer experiences. You will report to senior risk leadership and collaborate across Chase's Consumer Banking and Payments divisions to drive proactive fraud prevention. Your primary focus will be on leveraging advanced data analytics and machine learning to identify fraud patterns early in the card lifecycle, from application to ongoing account monitoring. Responsibilities include overseeing the design of detection models, conducting in-depth trend analyses, and integrating insights into operational workflows. At JP Morgan Chase, you'll have access to vast datasets and state-of-the-art tools to innovate solutions that align with our commitment to regulatory compliance and ethical standards. This position requires not only technical acumen but also the ability to influence cross-functional partners, including technology, compliance, and product teams, to implement scalable fraud mitigation tactics. Joining JP Morgan Chase means contributing to a global leader in financial services where your expertise will directly impact millions of customers. We value diversity, inclusion, and professional growth, offering opportunities to lead high-impact projects that shape the future of fraud prevention in the payments industry. If you are passionate about risk management and ready to tackle sophisticated first-party fraud challenges, this role provides a platform to make a lasting difference in a dynamic, supportive environment.

Key Responsibilities

  • Develop and lead comprehensive strategies to detect and prevent first-party fraud in JP Morgan Chase's card portfolio, including credit and debit products
  • Collaborate with cross-functional teams, including data scientists, product managers, and compliance officers, to enhance fraud detection models
  • Analyze fraud trends and patterns using advanced analytics to identify emerging risks and recommend mitigation tactics
  • Oversee the implementation of fraud prevention tools and technologies, ensuring alignment with regulatory standards and business objectives
  • Monitor key performance metrics for fraud losses, detection rates, and customer impact, reporting insights to senior leadership
  • Drive innovation in fraud strategy by leveraging AI, machine learning, and big data to stay ahead of sophisticated fraud schemes
  • Conduct risk assessments and scenario planning for first-party fraud scenarios, such as application fraud and identity manipulation
  • Partner with external stakeholders, including law enforcement and industry groups, to share intelligence on fraud tactics
  • Mentor and develop a team of fraud analysts, fostering a culture of continuous improvement and knowledge sharing
  • Ensure all fraud strategies comply with JP Morgan Chase's ethical standards and global regulatory frameworks

Required Qualifications

  • Bachelor's degree in Finance, Economics, Statistics, Computer Science, or a related field; advanced degree (Master's or PhD) preferred
  • 10+ years of experience in fraud prevention, risk management, or analytics within the financial services industry
  • Proven track record in developing and implementing fraud detection strategies, particularly for first-party fraud in card products
  • Deep knowledge of payment card industry standards (e.g., PCI DSS) and regulatory requirements (e.g., GLBA, FCRA)
  • Experience leading cross-functional teams in a large-scale financial institution
  • Strong analytical skills with proficiency in data analysis and statistical modeling
  • Ability to thrive in a fast-paced, high-stakes environment with a focus on innovation and risk mitigation

Preferred Qualifications

  • Experience at a major financial institution like JP Morgan Chase or similar
  • Certification in fraud examination (e.g., CFE) or risk management (e.g., FRM)
  • Background in machine learning applications for fraud detection
  • Familiarity with JP Morgan Chase's internal tools and systems for risk analytics
  • Prior leadership role in combating synthetic identity fraud or account takeover scenarios

Required Skills

  • Advanced proficiency in SQL, Python, or R for data querying and analysis
  • Expertise in statistical modeling and predictive analytics
  • Knowledge of machine learning algorithms for anomaly detection
  • Familiarity with big data tools like Hadoop, Spark, or cloud platforms (e.g., AWS, Azure)
  • Strong understanding of fraud typologies, including first-party and synthetic fraud
  • Excellent communication and presentation skills for stakeholder engagement
  • Project management abilities to lead initiatives from concept to execution
  • Analytical thinking and problem-solving in complex, data-driven environments
  • Leadership and team-building skills in a collaborative setting
  • Regulatory knowledge specific to financial services and card issuing
  • Proficiency in visualization tools like Tableau or Power BI
  • Risk assessment and scenario modeling expertise
  • Adaptability to evolving fraud threats and technologies
  • Ethical decision-making in high-pressure situations

Benefits

  • Competitive base salary and performance-based annual bonus
  • Comprehensive health, dental, and vision insurance plans
  • 401(k) retirement savings plan with generous company match
  • Paid time off, including vacation, sick days, and parental leave
  • Professional development opportunities, including tuition reimbursement and leadership training
  • Employee stock purchase plan and financial wellness programs
  • On-site fitness centers and wellness initiatives at JP Morgan Chase locations
  • Flexible work arrangements, including hybrid options in Wilmington, DE

JP Morgan Chase is an equal opportunity employer.

Locations

  • Wilmington, US

Salary

Estimated Salary Rangehigh confidence

350,000 - 550,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Advanced proficiency in SQL, Python, or R for data querying and analysisintermediate
  • Expertise in statistical modeling and predictive analyticsintermediate
  • Knowledge of machine learning algorithms for anomaly detectionintermediate
  • Familiarity with big data tools like Hadoop, Spark, or cloud platforms (e.g., AWS, Azure)intermediate
  • Strong understanding of fraud typologies, including first-party and synthetic fraudintermediate
  • Excellent communication and presentation skills for stakeholder engagementintermediate
  • Project management abilities to lead initiatives from concept to executionintermediate
  • Analytical thinking and problem-solving in complex, data-driven environmentsintermediate
  • Leadership and team-building skills in a collaborative settingintermediate
  • Regulatory knowledge specific to financial services and card issuingintermediate
  • Proficiency in visualization tools like Tableau or Power BIintermediate
  • Risk assessment and scenario modeling expertiseintermediate
  • Adaptability to evolving fraud threats and technologiesintermediate
  • Ethical decision-making in high-pressure situationsintermediate

Required Qualifications

  • Bachelor's degree in Finance, Economics, Statistics, Computer Science, or a related field; advanced degree (Master's or PhD) preferred (experience)
  • 10+ years of experience in fraud prevention, risk management, or analytics within the financial services industry (experience)
  • Proven track record in developing and implementing fraud detection strategies, particularly for first-party fraud in card products (experience)
  • Deep knowledge of payment card industry standards (e.g., PCI DSS) and regulatory requirements (e.g., GLBA, FCRA) (experience)
  • Experience leading cross-functional teams in a large-scale financial institution (experience)
  • Strong analytical skills with proficiency in data analysis and statistical modeling (experience)
  • Ability to thrive in a fast-paced, high-stakes environment with a focus on innovation and risk mitigation (experience)

Preferred Qualifications

  • Experience at a major financial institution like JP Morgan Chase or similar (experience)
  • Certification in fraud examination (e.g., CFE) or risk management (e.g., FRM) (experience)
  • Background in machine learning applications for fraud detection (experience)
  • Familiarity with JP Morgan Chase's internal tools and systems for risk analytics (experience)
  • Prior leadership role in combating synthetic identity fraud or account takeover scenarios (experience)

Responsibilities

  • Develop and lead comprehensive strategies to detect and prevent first-party fraud in JP Morgan Chase's card portfolio, including credit and debit products
  • Collaborate with cross-functional teams, including data scientists, product managers, and compliance officers, to enhance fraud detection models
  • Analyze fraud trends and patterns using advanced analytics to identify emerging risks and recommend mitigation tactics
  • Oversee the implementation of fraud prevention tools and technologies, ensuring alignment with regulatory standards and business objectives
  • Monitor key performance metrics for fraud losses, detection rates, and customer impact, reporting insights to senior leadership
  • Drive innovation in fraud strategy by leveraging AI, machine learning, and big data to stay ahead of sophisticated fraud schemes
  • Conduct risk assessments and scenario planning for first-party fraud scenarios, such as application fraud and identity manipulation
  • Partner with external stakeholders, including law enforcement and industry groups, to share intelligence on fraud tactics
  • Mentor and develop a team of fraud analysts, fostering a culture of continuous improvement and knowledge sharing
  • Ensure all fraud strategies comply with JP Morgan Chase's ethical standards and global regulatory frameworks

Benefits

  • general: Competitive base salary and performance-based annual bonus
  • general: Comprehensive health, dental, and vision insurance plans
  • general: 401(k) retirement savings plan with generous company match
  • general: Paid time off, including vacation, sick days, and parental leave
  • general: Professional development opportunities, including tuition reimbursement and leadership training
  • general: Employee stock purchase plan and financial wellness programs
  • general: On-site fitness centers and wellness initiatives at JP Morgan Chase locations
  • general: Flexible work arrangements, including hybrid options in Wilmington, DE

Target Your Resume for "Card Fraud Strategy – 1st Party Fraud - Executive Director" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Card Fraud Strategy – 1st Party Fraud - Executive Director. Takes only 15 seconds!

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

Check Your ATS Score for "Card Fraud Strategy – 1st Party Fraud - Executive Director" , 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

Risk Analytics/ModelingFinancial ServicesBankingJP MorganRisk Analytics/Modeling

Answer 10 quick questions to check your fit for Card Fraud Strategy – 1st Party Fraud - Executive Director @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.