Senior AI & Analytics Leader in Banking Risk

PwC; Chicago (IL); On-site; USD 124,000 - 280,000; Full time

Job summary

PwC is seeking an AML and Sanctions‑ AI Engineer at Senior Manager level. You will lead data-driven solutions for clients in Banking and Capital Markets, guiding analytics teams and shaping data architectures to improve data quality and access.

Your role emphasizes building scalable visualization tools, stakeholder engagement, and applying systems thinking to financial crimes contexts. A minimum degree and extensive experience are required to drive impact across complex engagements.

Qualifications

• Bachelor's degree required.
• At least 7 years of experience in data analytics or AI roles.

Responsibilities

• Leading the development and implementation of innovative data-driven solutions to optimize business performance.
• Guiding teams in leveraging advanced analytics techniques to provide strategic insights for clients.
• Utilizing data architecture development and data pipeline management to enhance data quality and accessibility.
• Building and maintaining relationships with stakeholders to address data challenges in banking and capital markets.
• Developing and overseeing deployment of scalable data visualization and analytics solutions to drive informed decisions.
• Promoting continuous process improvement and embracing change to enhance competitive advantage.
• Validating outcomes with clients and acting on feedback to refine strategies and solutions.
• Directing teams through complex and uncertain situations with composure and sound judgment.
• Initiating open coaching conversations to develop high-performing, diverse, and inclusive teams.
• Applying systems thinking to identify problems and opportunities within financial crimes and sanctions contexts.

Skills

Data analytics

AI/ML

Leadership

Stakeholder engagement

Data visualization

Data architecture

Education

Bachelor's degree

Tools

Python

Job description

PwC is seeking an AML and Sanctions‑ AI Engineer at Senior Manager level. You will lead data-driven solutions for clients in Banking and Capital Markets, guiding analytics teams and shaping data architectures to improve data quality and access.

Your role emphasizes building scalable visualization tools, stakeholder engagement, and applying systems thinking to financial crimes contexts. A minimum degree and extensive experience are required to drive impact across complex engagements.