Fraud Analyst
HFD
JavaScriptPythonSQLTableau
Regulatory Affairs Analyst II
GoFundMe.org
full-time
Posted on:
Origin: • 🇺🇸 United States
Visit company websiteSalary
💰 $66,500 - $99,500 per year
Job Level
Junior
Tech Stack
SQL
About the role
- Conduct complex investigations into potential financial crimes, including fraud, money laundering, and sanctions compliance, using advanced data analysis and research methodologies.
- Lead comprehensive investigations, gathering evidence, analyzing user and transaction behavior, and working cross-functionally to mitigate risks.
- Analyze large, complex datasets to detect suspicious activity, leveraging advanced analytical tools and techniques.
- Provide legislative analysis to ensure compliance with emerging laws and regulations, interpreting their impact on financial crime prevention strategies, donation volume, and customer experience.
- Prepare detailed investigative and legislative reports for senior management, law enforcement, and regulatory authorities, clearly documenting findings and recommendations.
- Collaborate with internal teams (compliance, legal, risk) and external law enforcement or regulatory bodies to manage financial crime cases.
- Stay informed on new financial crime trends and legislative changes, contributing to the improvement of policies and procedures for fraud detection and prevention.
Requirements
- 1-2 years of experience in financial crime investigations, data analysis, or compliance.
- Bachelor’s degree in Data Science, Economics, Finance, Criminal Justice, Mathematics, or a related field.
- Strong proficiency in data analysis tools (e.g. Looker, SQL, Excel) and transaction monitoring systems.
- Knowledge of financial crime laws and regulations, including AML, KYC, and sanctions compliance, and experience with legislative analysis.
- Ability to synthesize complex data and legal information into actionable insights.
- Excellent written and verbal communication skills, with the ability to present findings clearly to both technical and non-technical audiences.
- Fluency in English and one of either: Spanish, French, German, or Italian
- Professional certifications such as CAMS (Certified Anti-Money Laundering Specialist) or equivalent are a plus.
- Strong ethical standards and discretion when handling sensitive information.
- Preferred: Experience liaising with law enforcement or regulatory agencies on financial crime investigations.
- Preferred: Familiarity with machine learning or AI-driven tools for fraud detection and their attendant regulations.
- Preferred: Uncommon ability to anticipate, adapt, and respond to sensitive and evolving situations while balancing numerous, often competing, priorities.
