Regulatory Affairs Analyst
GoFundMeDublin, IrelandPosted 19 March 2026
Tech Stack
Job Description
Want to help us help others? We’re hiring!
GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes—for themselves and each other. Together, our community has raised more than $40 billion since 2010.
Join us! The GoFundMe team is searching for our next Regulatory Affairs Analyst to help interpret regulatory changes and ensure our products, policies, and communications comply with all relevant laws and standards. This includes preparing reports, documentation, and responses to regulatory agencies while collaborating across teams to integrate compliance into product planning.
Candidates considered for this role will be located in Dublin, Ireland.
The Job
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.
You
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.
Familiarity with machine learning or AI-driven tools for fraud detection and their attendant regulations.
Uncommon ability to anticipate, adapt, and respond to sensitive and evolving situations while balancing numerous, often competing, priorities.
Why you’ll love it here
Make an Impact : Be part of a mission-driven organization making a positive difference in millions of lives every year.
Innovative Environment : Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere.
Collaborative Team : Join a fun and collaborative team that works hard and celebrates success together.
Competitive Benefits : Enjoy competitive pay and comprehensive healthcare benefits.
Holistic Support : Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being.
Growth Opportunities : Participate in ... (truncated, view full listing at source)
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