Leads fraud analytics and AI modeling initiatives, including fraud detection models, scenario design, alert management, regulatory remediation, and monitoring solutions. The role directs client delivery, translates fraud risk requirements into scalable Python-based analytics, guides model validation and control enhancements, develops executive relationships, identifies business opportunities, and mentors emerging leaders across financial crime programs.
The Opportunity
As a Fraud Analytics - AI Modeling Director you will lead the design and delivery of fraud-focused analytics solutions that use data, advanced modeling, and AI methods to support client decision-making and strengthen risk monitoring. As a Director you will set strategic direction, drive business growth, shape client work, and mentor future leaders while translating vision into practical action across teams within our Advisory practice. In this role at PwC, you will guide multiple workstreams, contribute to fraud detection and prevention efforts, develop new ideas and solutions, and help shape executive client conversations around data, controls, and technology.
Responsibilities
- Setting strategic direction for fraud analytics and AI modeling initiatives within managed services engagements
- Leading development of fraud detection models, scenario design, and advanced analytics solutions to support monitoring and investigations
- Overseeing client delivery for regulatory remediation, alert management, and third-party fraud detection technology support
- Driving business growth by identifying new service opportunities and shaping data and AI offerings for financial crimes challenges
- Translating fraud risk requirements into scalable analytics approaches using Python, reporting tools, and data visualization methods
- Guiding cross-functional teams in model validation, data quality review, and control enhancement across fraud programs
- Developing executive relationships with client leaders to align analytics solutions with operating model and compliance needs
- Applying AI fluency and analytical thinking to improve fraud surveillance, reduce false positives, and strengthen case prioritization
- Mentoring emerging leaders and contributing to a culture of innovation, inclusion, and professional accountability
What You Must Have
- At least a Bachelor's degree
- At least 8 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Biology/Biomedical Sciences, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Financial Mathematics/Quantitative Finance, Health Administration/Public Health, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance, Science
- Demonstrating fraud analytics, AI modeling, or advanced detection methods
- Utilizing Python, data science, and AI-enabled analytical tools
- Developing fraud monitoring, investigations, or prevention controls
- Translating analytics insights into client-facing recommendations
- Driving thought leadership across risk and regulatory topics
- Balancing strategic planning, innovation, and market opportunity identification
The salary range for this position is: $155,000 - $410,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance
As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.
PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
Learn more about how we work: https://pwc.to/how-we-work
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.
As a Fraud Analytics - AI Modeling Director you will lead the design and delivery of fraud-focused analytics solutions that use data, advanced modeling, and AI methods to support client decision-making and strengthen risk monitoring. As a Director you will set strategic direction, drive business growth, shape client work, and mentor future leaders while translating vision into practical action across teams within our Advisory practice. In this role at PwC, you will guide multiple workstreams, contribute to fraud detection and prevention efforts, develop new ideas and solutions, and help shape executive client conversations around data, controls, and technology.
Responsibilities
- Setting strategic direction for fraud analytics and AI modeling initiatives within managed services engagements
- Leading development of fraud detection models, scenario design, and advanced analytics solutions to support monitoring and investigations
- Overseeing client delivery for regulatory remediation, alert management, and third-party fraud detection technology support
- Driving business growth by identifying new service opportunities and shaping data and AI offerings for financial crimes challenges
- Translating fraud risk requirements into scalable analytics approaches using Python, reporting tools, and data visualization methods
- Guiding cross-functional teams in model validation, data quality review, and control enhancement across fraud programs
- Developing executive relationships with client leaders to align analytics solutions with operating model and compliance needs
- Applying AI fluency and analytical thinking to improve fraud surveillance, reduce false positives, and strengthen case prioritization
- Mentoring emerging leaders and contributing to a culture of innovation, inclusion, and professional accountability
What You Must Have
- At least a Bachelor's degree
- At least 8 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Biology/Biomedical Sciences, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Financial Mathematics/Quantitative Finance, Health Administration/Public Health, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance, Science
- Demonstrating fraud analytics, AI modeling, or advanced detection methods
- Utilizing Python, data science, and AI-enabled analytical tools
- Developing fraud monitoring, investigations, or prevention controls
- Translating analytics insights into client-facing recommendations
- Driving thought leadership across risk and regulatory topics
- Balancing strategic planning, innovation, and market opportunity identification
The salary range for this position is: $155,000 - $410,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance
As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.
PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
Learn more about how we work: https://pwc.to/how-we-work
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.
PwC New York, New York, USA Office
300 Madison Ave, New York, NY, United States, 10017
PwC Florham Park, New Jersey, USA Office
400 Campus Drive, Florham Park, NJ, United States, 7932
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