Green Dot Corporation

We’re looking for talented professionals, anywhere in the United States, to join us in bringing smart money management and payment solutions to everyone’s fingertips.

At Green Dot, we are evolving to a new and permanent “Work from Anywhere” model designed to maximize the benefits of remote work, promote and enable a strong culture of performance and connectedness, and attract the best and brightest talent who align with our entrepreneurial spirit and mission.

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JOB DESCRIPTION

Job Summary:

The Lead BSA Data Scientist plays a critical role in leveraging data analytics to enhance Bank Secrecy Act (BSA) compliance and Anti-Money Laundering (AML) efforts. This role involves developing advanced models, algorithms, and analytics solutions to detect suspicious activities, mitigate financial crime risks, and ensure regulatory adherence. The Senior BSA Data Scientist collaborates with compliance, risk management, and technology teams to drive data-driven decision-making and improve fraud detection capabilities.

Key Responsibilities:

• Develop and implement machine learning models to identify potential money laundering and fraud risks.
• Analyze large datasets to detect patterns, anomalies, and trends related to financial crime.
• Enhance transaction monitoring systems using predictive analytics and AI-driven solutions.
• Collaborate with compliance teams to refine BSA/AML risk assessment methodologies.
• Conduct statistical analysis to improve the effectiveness of suspicious activity reporting (SAR).
• Work with engineering teams to integrate data science solutions into compliance platforms.
• Provide insights and recommendations to senior leadership based on data-driven findings.
• Stay updated on regulatory changes and emerging financial crime trends to refine models accordingly.

Qualifications:

• Bachelor’s degree in data science, Computer Science, Statistics, Finance, or a related field.
• 5 years of experience in data science, analytics, or financial crime prevention.
• Strong knowledge of BSA, AML, KYC, and financial regulations.
• Expertise in Python, R, SQL, and machine learning frameworks.
• Experience with big data technologies such as Hadoop, Spark, or cloud-based analytics platforms.
• Excellent problem-solving, analytical, and communication skills.

Preferred Qualifications:

• Master’s degree in a relevant field.
• Certification in Certified Anti-Money Laundering Specialist (CAMS) or Certified Fraud Examiner (CFE).
• Experience working with regulatory agencies or financial institutions.

POSITION TYPE

Regular

PAY RANGE

The targeted full-time base salary for this position is $120,700 to $180,900 per year. The final compensation will be determined by a number of factors such as qualifications, expertise, and the candidate’s geographical location.

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Green Dot promotes diversity and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Green Dot provides reasonable accommodations for candidates on request and respects applicants' privacy rights.