AML and Sanctions- Data Scientist- Senior Associate

PwC; Philadelphia (Philadelphia County); On-site; USD 77,000 - 202,000; Full time

Benefits offered by this job

Medical insurance

401k

Vacation and sick leave

Job summary

PwC is seeking an AML and Sanctions Data Scientist, Senior Associate, to harness data analytics for strategic client insights within the Risk & Regulatory practice in the United States. You will build analytics solutions, interpret data, and drive decisions, while mentoring and collaborating across teams.

The role emphasizes developing deep technical skills, stakeholder engagement, and continuous learning to manage complex problems and deliver quality outcomes.

Qualifications

• Bachelor's degree required.
• At least 3 years of experience in AML/sanctions or data science roles.

Responsibilities

• Leveraging data analytics to provide strategic insights for clients.
• Developing and implementing innovative analytics solutions.
• Using BI tools to analyze complex data sets and generate insights.
• Building and maintaining client relationships to anticipate needs.
• Collaborating to deploy scalable data visualization solutions.
• Interpreting data to inform recommendations and outcomes.
• Engaging in continuous learning to deepen technical skills.

Skills

Python

Java

BIRT

Data pipelines

Data architecture

Analytical thinking

Stakeholder management

Change management

Education

Bachelor's degree

Tools

BIRT

Job description

The Opportunity

As an AML and Sanctions- Data Scientist- Senior Associate, 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 Senior Associate, you will focus on building meaningful client connections and learning how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality work even when the path forward isn’t clear.

In this role, you will utilize advanced analytics techniques to help clients optimize their operations and achieve their strategic goals. You will be part of the Financial Crimes Unit - AML & Sanctions Managed Services, focusing on the Banking and Capital Markets sector. By interpreting data to inform insights and recommendations, you will contribute to the broader objectives of your projects and understand how your work fits into the overall strategy. This position offers an opportunity to develop a deeper understanding of the business context and how it is evolving.

Responsibilities

• Leveraging data analytics to provide strategic insights and drive informed decision-making for clients
• Developing and implementing innovative solutions to optimize business performance and enhance competitive advantage
• Utilizing business intelligence tools and techniques to analyze complex data sets and generate actionable insights
• Building and maintaining meaningful client relationships to understand and anticipate their needs
• Navigating complex situations and using critical thinking to solve problems and deliver quality outcomes
• Collaborating with teams to develop and deploy scalable data visualization and analytics solutions
• Upholding professional and technical standards while interpreting data to inform insights and recommendations
• Engaging in continuous learning to deepen technical skills and enhance personal growth within the business context

What You Must Have

• At least a Bachelor's degree
• At least 3 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
• Utilizing Business Intelligence and Reporting Tools (BIRT) effectively
• Developing data pipelines and data architecture solutions
• Applying analytical thinking to solve complex problems
• Leveraging Python and Java for data analysis
• Engaging in stakeholder management and communication
• Embracing change and continuous process improvement

The salary range for this position is: $77,000 - $202,000. 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 anequal 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.