Remote - Lead BSA Data Scientist

Green Dot Corporation

88d • $120,700 - $180,900

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

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.

Benefits

• Work from Anywhere model promoting remote work.
• Inclusive and accessible hiring experience.
• Commitment to diversity and fair hiring practices.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Bachelor's degree
• Number of Employees: 1,001-5,000 employees