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Aml Risk Analyst Jobs in Philadelphia, PA (NOW HIRING)

Analytics, Insights, & Artificial Intelligence The Data Scientist III provides technical leadership ... AML/CTF strategies, address emerging risks, and be in accordance with best industry practice. We ...

Analytics, Insights, & Artificial Intelligence The Data Scientist III provides technical leadership ... AML/CTF strategies, address emerging risks, and be in accordance with best industry practice. We ...

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Aml Risk Analyst information

See Philadelphia, PA salary details

$15

$40

$66

How much do aml risk analyst jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for aml risk analyst in Philadelphia, PA is $40.85, according to ZipRecruiter salary data. Most workers in this role earn between $30.10 and $49.71 per hour, depending on experience, location, and employer.

How does an AML Risk Analyst typically collaborate with other departments to ensure compliance?

As an AML Risk Analyst, you'll work closely with departments such as Compliance, Legal, Operations, and IT to identify and mitigate potential money laundering risks. Collaboration often involves reviewing suspicious activity reports, discussing complex cases, and ensuring that the latest regulatory requirements are implemented across the organization. Effective communication and teamwork are essential, as your insights help inform policy updates and staff training, ultimately strengthening the company's anti-money laundering framework.

What does an AML Risk Analyst do?

An AML (Anti-Money Laundering) Risk Analyst is responsible for identifying and assessing potential risks related to money laundering and financial crimes within an organization. They analyze financial transactions, review customer data, and monitor activities to ensure compliance with regulatory requirements and internal policies. Their role often involves investigating suspicious activities, preparing reports for regulatory bodies, and recommending improvements to the organization's AML processes.

What are the key skills and qualifications needed to thrive as an AML Risk Analyst?

To thrive as an AML Risk Analyst, you need strong analytical skills, knowledge of anti-money laundering regulations, and usually a degree in finance, business, or a related field. Familiarity with AML software tools, transaction monitoring systems, and certifications like CAMS (Certified Anti-Money Laundering Specialist) are commonly required. Attention to detail, critical thinking, and effective communication are vital soft skills for identifying suspicious activity and collaborating with compliance teams. These skills and qualifications are crucial to ensure regulatory compliance, prevent financial crime, and protect the organization from reputational and monetary risks.

What is the difference between Aml Risk Analyst vs Compliance Analyst?

AspectAml Risk AnalystCompliance Analyst
CertificationsACAMS, CAMSCCA, CAMS (optional)
Work EnvironmentFinancial institutions, banksVarious industries, including finance and healthcare
Primary FocusAnti-money laundering risk detectionRegulatory compliance and policies

The main difference between an Aml Risk Analyst and a Compliance Analyst is their focus area. An Aml Risk Analyst specializes in identifying and mitigating money laundering risks within financial institutions, often requiring certifications like CAMS. In contrast, a Compliance Analyst oversees adherence to various regulations across industries, with a broader scope. Both roles require strong analytical skills and knowledge of industry regulations, but their specific responsibilities and certifications differ.

Infographic showing various Aml Risk Analyst job openings in Philadelphia, PA as of July 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $84,975 per year, or $40.9 per hour.

Senior Quantitative Risk Analyst - BSA/AML (Hybrid - see job descriptions for potential work loca...

M&T Bank

Wilmington, DE • Hybrid

$85K - $143K/yr

Full-time

Posted 6 days ago


M&T Bank rating

7.9

Company rating: 7.9 out of 10

Based on 186 frontline employees who took The Breakroom Quiz

80th of 171 rated banks


Job description

** Work Location/Arrangement: This is a hybrid position requiring in-office work four (4) days every week at an M&T office in Buffalo, NY, Bridgeport, CT, Baltimore, MD, Timonium, MD, Wilmington, DE or New York, NY.

Overview

This position supports the development of statistical and machine learning models within a regulated environment. The role contributes to key components of the model development lifecycle-including data preparation, model development, testing/validation support, implementation, and monitoring-while working closely with senior modelers to deliver analytically sound and well-documented solutions. Development work is performed using both Python and SAS.

Primary Responsibilities

  • Support the design, development, testing, implementation, and monitoring of statistical and machine learning models
  • Prepare, transform, and analyze large datasets (e.g., transactions, customer behavior, entity data)
  • Partner with senior team members to translate business problems into analytical approaches
  • Contribute to model documentation, including methodology, assumptions, and monitoring frameworks
  • Develop and maintain analytical code using Python and/or SAS
  • Assist in model performance monitoring and identification of model issues or limitations
  • Support model validation, audit, and regulatory review processes
  • Collaborate with stakeholders across EDD, FIU, Technology, and Model Risk Management
  • Ensure adherence to internal controls and regulatory expectations
  • Provide guidance to junior analysts where appropriate
  • Understand and adhere to the Company's risk and regulatory standards, policies and controls in accordance with the Company's Risk Appetite. Identify risk-related issues needing escalation to management.
  • Promote an environment that supports belonging and reflects the M&T Bank brand.
  • Maintain M&T internal control standards, including timely implementation of internal and external audit points together with any issues raised by external regulators as applicable.
  • Complete other related duties as assigned.

Scope of Responsibilities

Works under general guidance from more senior quantitative risk managers. Responsible for independent execution of defined analytical tasks and contributing to model development efforts. Builds technical expertise in AML modeling and governance.

Education and Experience Required

  • Bachelor degree in Mathematics, Statistics, Quantitative Analysis or another technical discipline,
  • OR in lieu of degree A combined minimum of 7 years higher education and/or work experience to include a minimum of 3 years relevant experience.
    -OR-
  • Master's degree in Mathematics, Statistics, Quantitative Analysis or another technical discipline, with minimum of 1 year relevant experience,
    OR in lieu of degree,
  • A combined minimum of 7 years higher education and/or work experience to include a minimum of 1 year relevant experience.
  • Minimum of 3 years relevant experience, Banking or Financial Services experience.

Preferred

  • Master's degree in a quantitative discipline
  • Experience in banking, financial services, or AML/BSA
  • Exposure to model validation or model risk management
  • Familiarity with machine learning techniques
M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $85,800.00 - $143,000.00 Annual (USD). The successful candidate's particular combination of knowledge, skills, and experience will inform their specific compensation.LocationBuffalo, New York, United States of America

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