AML and Sanctions- AI Engineer- Manager

Posted 8 Hours Ago
Be an Early Applicant
8 Locations
Hybrid
99K-232K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
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The Role
Leads AI engineering and advanced analytics initiatives for AML and sanctions clients. Develops scalable data, visualization, and analytics solutions; validates data integrity, security, and compliance; identifies system linkages and optimization opportunities; manages client relationships and project execution; and mentors teams delivering innovative AI solutions.
Summary Generated by Built In
The Opportunity
As an AI Engineer specializing in AML and Sanctions, you will leverage data and analytics to provide strategic insights and drive informed decision-making for clients within our Risk & Regulatory practice. You will develop and implement innovative solutions to optimize business performance and enhance competitive advantage. As a Manager, you will motivate, develop, and inspire others to deliver quality, while coaching and leveraging team members' unique strengths to meet client expectations. You will play a crucial role in identifying opportunities that contribute to the success of our firm, leading with integrity and authenticity, and embracing technology and innovation to enhance delivery.
In this role at PwC, you will analyze and identify the interactions between system components, take ownership of projects, and validate successful planning, budgeting, execution, and completion. You will engage in difficult conversations with clients and team members, addressing conflicts and escalating issues when necessary. Your growing business knowledge will be instrumental in articulating our purpose and values meaningfully, encouraging others to develop skills beyond their comfort zones. You will uphold professional and technical standards, reinforcing the firm's code of conduct and independence requirements.
Responsibilities
- Leading the development and implementation of data-driven solutions to optimize business performance
- Guiding teams in the strategic planning and execution of analytics initiatives
- Utilizing advanced analytics techniques to provide strategic insights and drive informed decision-making for clients
- Building and maintaining relationships with stakeholders to identify and address data challenges
- Developing scalable data visualization and analytics solutions to enhance competitive advantage
- Promoting the use of innovative technologies and leading practices across analytics teams
- Validating data integrity, security, and compliance within analytics frameworks
- Identifying opportunities for optimizing data utilization and improving business outcomes
- Mentoring team members to leverage their unique strengths and manage performance effectively
- Analyzing and identifying linkages and interactions between system components to enhance delivery
What You Must Have
- At least a Bachelor's degree
- At least 5 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 proficiency in Python and data analytics tools
- Utilizing Business Intelligence Development Studio for strategic insights
- Excelling in data visualization with platforms like Spotfire
- Applying analytical thinking to solve complex financial crimes
- Embracing continuous process improvement in client engagements
- Leading teams in developing innovative AI solutions
The salary range for this position is: $99,000 - $232,000. 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.

Skills Required

  • Bachelor's degree
  • At least 5 years of experience
  • Proficiency in Python and data analytics tools
  • Experience utilizing Business Intelligence Development Studio
  • Experience with data visualization platforms such as Spotfire
  • Analytical thinking applied to complex financial crimes
  • Experience leading teams in developing AI solutions

What the Team is Saying

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PwC Compensation & Benefits Highlights

  • Parental & Family Support Parental and caregiving benefits are described as extensive, with paid leave for all parents, adoption/surrogacy support, backup child/elder care, and nursing‑parent resources. This breadth signals a family‑forward package that supports a wide range of life stages.
  • Healthcare Strength Health coverage offers multiple medical plan options with pharmacy, One Medical primary care, digital physical therapy, and mental‑health resources such as Headspace, Calm, Talkspace, and EAP. The mix of preventive, primary, and specialty programs suggests strong overall coverage.
  • Retirement Support Retirement programs include a firm‑funded Wealth Builder plan alongside a 401(k) with company matching, plus financial coaching and a student‑loan paydown program. This dual‑vehicle approach provides baseline employer funding with additional savings support.

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The Company
HQ: New York, NY
370,000 Employees
Year Founded: 1998

What We Do

Build what’s next — with tech that matters PwC provides professional services across Audit and Assurance, Advisory and Tax — powered by a global network of over 370,000 people in 149 countries. You may know us for our business expertise, but technology is core to how we help clients move faster, build trust and deliver meaningful outcomes. As a technologist, you’ll work on agile teams with experienced engineers and product thinkers — using AI, cloud, cybersecurity and more to design scalable, real-world solutions. You’ll keep learning, stay challenged and be part of a network where your growth is built in — and your work drives what’s next.

Why Work With Us

At PwC, our professionals include technologists, engineers, programmers and consultants working across AI, cloud, cybersecurity, data and more. You’ll explore innovative ways to help clients transform their business through technology—reducing complexity, unlocking value and shaping a more agile, data-driven future.

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