2

Entry Level Aml Analyst Jobs in Washington (NOW HIRING)

Entry Level Aml Analyst information

See Washington salary details

$16

$43

$77

How much do entry level aml analyst jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for entry level aml analyst in Washington is $43.75, according to ZipRecruiter salary data. Most workers in this role earn between $29.42 and $54.71 per hour, depending on experience, location, and employer.

What are some common challenges faced by entry level AML analysts, and how can they overcome them?

Entry-level AML analysts often encounter challenges such as keeping up with evolving regulations, analyzing large volumes of transaction data, and distinguishing between suspicious and legitimate activity. To overcome these hurdles, new analysts should focus on developing strong attention to detail, seek regular feedback from senior team members, and proactively use available training resources. Collaborating closely with compliance officers and leveraging up-to-date software tools also helps streamline investigations and ensures accurate reporting.

What is an entry level AML analyst?

Entry Level AML (Anti-Money Laundering) Analysts are professionals who help financial institutions detect and prevent financial crimes such as money laundering and terrorist financing. They review transactions, monitor customer activity, and investigate suspicious behavior to ensure compliance with AML regulations and internal policies. These analysts typically analyze alerts generated by monitoring systems, prepare reports, and may assist with regulatory filings. Entry level positions provide foundational experience in financial compliance and risk management, often serving as a stepping stone to more advanced roles in the field.

What is the difference between Entry Level Aml Analyst vs Kyc Analyst?

AspectEntry Level Aml AnalystKyc Analyst
Required CertificationsBasic AML certifications, such as ACAMS or similarSimilar certifications, often including ACAMS or CFE
Work EnvironmentFinancial institutions, banks, compliance departmentsFinancial institutions, banks, compliance teams
Industry UsageWidely used in banking and finance for AML complianceCommon in banking, finance, and regulatory compliance
Job FocusMonitoring transactions, identifying suspicious activity, reportingCustomer due diligence, verifying client identities, KYC procedures

Both roles are essential in financial compliance, with the Entry Level Aml Analyst focusing on transaction monitoring and suspicious activity reporting, while the Kyc Analyst specializes in customer verification and onboarding. They often work together within compliance teams to ensure adherence to AML and KYC regulations.

What are the key skills and qualifications needed to thrive as an entry level AML analyst, and why are they important?

To thrive as an Entry Level AML Analyst, a foundational understanding of financial regulations, analytical skills, and a relevant bachelor’s degree are generally required. Familiarity with transaction monitoring systems, case management software, and AML certification such as ACAMS is often beneficial. Strong attention to detail, critical thinking, and effective communication help analysts identify suspicious activities and collaborate with compliance teams. These skills and qualifications are essential to ensure effective detection and reporting of financial crimes, protecting the organization from regulatory risks.
What are the most commonly searched types of Aml Analyst jobs in Washington? The most popular types of Aml Analyst jobs in Washington are:
What are popular job titles related to Entry Level Aml Analyst jobs in Washington? For Entry Level Aml Analyst jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Entry Level Aml Analyst jobs in Washington look for? The top searched job categories for Entry Level Aml Analyst jobs in Washington are:
Infographic showing various Entry Level Aml Analyst job openings in Washington as of August 2026, with employment types broken down into 85% Full Time, 7% Part Time, 1% Temporary, and 7% Contract. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution, with an average salary of $91,004 per year, or $43.8 per hour.

AML and Sanctions- Data Scientist- Senior Associate

Pwc

Washington, DC • On-site

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Banking and Capital Markets

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Respond effectively to the diverse perspectives, needs, and feelings of others.
Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
Use critical thinking to break down complex concepts.
Understand the broader objectives of your project or role and how your work fits into the overall strategy.
Develop a deeper understanding of the business context and how it is changing.
Use reflection to develop self awareness, enhance strengths and address development areas.
Interpret data to inform insights and recommendations.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the Financial Crime Unit team you will apply analytical methods to complex datasets leveraging SQL and Python. As a Senior Associate you will analyze intricate problems, mentor Associates, and maintain exemplary standards while building meaningful client relationships. This role offers the chance to deepen your technical knowledge and personal brand while navigating the complexities of financial crime detection and machine learning applications.
Responsibilities
- Apply machine learning and natural language processing to financial crime challenges
- Develop a thorough understanding of the business landscape
- Navigate intricate scenarios to enhance personal and technical growth
- Leverage SQL and Python for data analysis and problem-solving
What You Must Have
- Bachelor's Degree in Computer and Information Science, Economics, Engineering, Operations Management/Research, Statistics, Data Processing/Analytics/Science, Mathematics
- 3 years of professional experience in data science/machine learning
What Sets You Apart
- Experience mentoring junior team members
- Proven ability in developing machine learning models
- Demonstrating advanced skills in Python and SQL
- Familiarity with MLOps practices for model monitoring
- Comfort working with structured and unstructured data
- Experience with cloud platforms and containerization
- Knowledge of agentic AI frameworks for workflows
- Ability to translate client requirements into analytical solutions
- Proficiency in SQL and Python
- Hands-on experience with ML frameworks (scikit-learn, XGBoost, LightGBM, Hugging Face)
- Thorough understanding of model evaluation metrics across tasks

Travel Requirements

Up to 60%

Job Posting End Date

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-glanceAs 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-workFor 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.

What PwC employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom