Talantix.io
Mintos•04.03.26
AI SCORE 8.5

Transaction Monitoring AML Analyst - Remote

$60K–$80K/year
RemoteFinTech
Anti-Money Laundering•Transaction Monitoring•Power BI•Excel•Fraud Detection•Financial Crime Investigation

About the Role

We are seeking a dedicated Transaction Monitoring AML Analyst - Remote to join our team. In this role, you will play a crucial part in ensuring compliance with anti-money laundering (AML) regulations and safeguarding our financial systems from illicit activities. As a Transaction Monitoring AML Analyst, you will work remotely, providing you with the flexibility to manage your work-life balance while contributing to our mission of financial crime prevention.

What You'll Do

  • Conduct thorough transaction monitoring to identify suspicious activities and potential money laundering cases.
  • Analyze transaction patterns and client behavior to ensure compliance with AML regulations.
  • Collaborate with various teams to investigate and resolve alerts generated by the transaction monitoring system.
  • Prepare detailed reports on findings and present them to relevant stakeholders.
  • Stay updated on AML regulations and best practices to enhance compliance measures.

Requirements

  • 2-5 years of experience in transaction monitoring or AML analysis.
  • Strong understanding of AML regulations and compliance frameworks.
  • Proficiency in using analytical tools such as Power BI and Excel.
  • Excellent communication and problem-solving skills.
  • Ability to work independently in a remote setting.

Nice to Have

  • Experience with financial crime investigations.
  • Knowledge of fraud detection techniques.
  • Familiarity with CRM systems and lifecycle marketing.

What We Offer

  • Competitive salary and stock options.
  • Flexibility with remote work opportunities.
  • Generous vacation policy.
  • Annual €1,200 learning budget for professional growth.
  • Well-equipped office environment.
  • Recognition for fairness and equality in compensation.
  • Diverse international team.
Why This Job8.5 of 10

This remote Transaction Monitoring AML Analyst role offers a competitive salary, stock options, and a generous learning budget, making it an attractive opportunity for compliance professionals.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Proficient in using Power BI and advanced Excel for data analysis and visualization, enabling effective monitoring and reporting of transactions.

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Self-motivated and detail-oriented, with the ability to work independently in a fully remote environment, managing time effectively to meet compliance deadlines.

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Strong analytical mindset with a background in financial crime investigation, allowing for thorough assessments of suspicious activities and a proactive approach to fraud detection.

Learning Resources

→Anti-Money Laundering (AML) Overviewarticle
→Power BI for Data Analysiscourse
→Financial Crime Investigation Techniquescourse

Career Path

Transaction Monitoring AML Analyst - Remote(Now)→Senior AML Analyst(1-2 years)→AML Compliance Manager(3-5 years)

Market Overview

Market Size 2024
$4.5B
Annual Growth
11.2%
AI Adoption
67%
Investment in AML Tech
+45%
Labour Demand for AML Analysts
+20%
Avg Salary for AML Analysts
$85K

Skills & Requirements

Required
Anti-Money LaunderingTransaction MonitoringPower BI
Growing in Demand
Data AnalyticsMachine Learning for Fraud DetectionRegulatory Compliance Automation
Declining
Manual Transaction ReviewBasic Excel Functions

Domain Trends

Increased Use of AI in AML
AI technologies are being increasingly adopted, with 67% of financial institutions planning to integrate AI for transaction monitoring by 2025, leading to more efficient fraud detection.
Regulatory Changes Driving Demand
With new AML regulations being introduced globally, the demand for AML analysts is projected to increase by 20% as organizations seek compliance and risk management.
Shift Towards Automated Solutions
Investment in automated AML solutions has surged by 45% in the past year, reflecting a trend towards reducing manual processes and enhancing accuracy in fraud detection.

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