Data Scientist (BSA)

About The CompanyGreen Dot Corporation (NYSE: GDOT) is a leading financial technology and registered bank holding company dedicated to transforming the way individuals and businesses manage and move money. Established in 1999 and headquartered in Austin, Texas, Green Dot has pioneered innovative financial solutions aimed at enhancing financial wellbeing and empowerment for all. Our proprietary technology enables faster, more efficient electronic payments and money management, providing seamless ways for customers to spend, send, control, and save their money.

Through our extensive retail and direct banking channels, we offer a wide range of financial products including debit, prepaid, checking, credit, and payroll cards, along with comprehensive money processing services such as tax refunds, cash deposits, and disbursements. Our Banking as a Service (BaaS) platform empowers prominent consumer and technology companies across the United States and internationally to create customized banking and money movement solutions.

With over 33 million customers served and more than 90,000 retail locations nationwide, Green Dot continues to lead in delivering simple, secure, and accessible financial tools that foster trust, engagement, and value for our partners and customers. About The RoleThe Lead BSA Data Scientist at Green Dot plays a pivotal role in advancing our compliance and anti-financial crime initiatives through sophisticated data analytics. This position involves designing, developing, and implementing advanced machine learning models, algorithms, and analytics solutions aimed at detecting suspicious activities related to money laundering, fraud, and other financial crimes.

The ideal candidate will collaborate closely with compliance, risk management, and technology teams to enhance our transaction monitoring systems, improve suspicious activity reporting, and ensure adherence to regulatory requirements such as the Bank Secrecy Act (BSA) and Anti-Money Laundering (AML) standards. As a senior data science professional, you will analyze large datasets to identify patterns, anomalies, and trends, providing actionable insights that inform strategic decision-making. Your expertise will help refine risk assessment methodologies, optimize fraud detection capabilities, and stay ahead of emerging financial crime trends.

Additionally, you will work with engineering teams to integrate data science solutions into compliance platforms, ensuring seamless operational workflows. This role offers an exciting opportunity to leverage cutting-edge AI and big data technologies to safeguard our financial ecosystem and support our mission of accessible, secure banking for all.

QualificationsBachelor’s degree in Data Science, Computer Science, Statistics, Finance, or a related fieldMinimum of 5 years of experience in data science, analytics, or financial crime preventionStrong knowledge of BSA, AML, KYC, and relevant financial regulationsProficiency in Python, R, SQL, and machine learning frameworksExperience with big data technologies such as Hadoop, Spark, or cloud-based analytics platformsExcellent problem-solving, analytical, and communication skillsPreferred QualificationsMaster’s degree in a relevant fieldCertifications such as Certified Anti-Money Laundering Specialist (CAMS) or Certified Fraud Examiner (CFE)Experience working with regulatory agencies or financial institutionsResponsibilitiesDevelop and deploy machine learning models to identify potential money laundering and fraud risksAnalyze large datasets to detect patterns, anomalies, and emerging trends related to financial crimesEnhance transaction monitoring systems using predictive analytics and AI-driven solutionsCollaborate with compliance teams to refine and improve BSA/AML risk assessment methodologiesConduct statistical analyses to improve the effectiveness and accuracy of suspicious activity reports (SAR)Work with engineering teams to integrate data science solutions into existing compliance platforms and workflowsProvide insights and strategic recommendations to senior leadership based on data-driven findingsStay informed on regulatory changes and emerging financial crime trends to continuously refine models and strategiesBenefitsCompetitive full-time salary ranging from $120,700 to $180,900 annually, commensurate with experience and locationFlexible remote work environment supporting a “Work from Anywhere” modelComprehensive health, dental, and vision insurance plansRetirement savings options with company contributionsPaid time off and holiday benefitsOpportunities for professional development and continuous learningInclusive and diverse workplace culture that values innovation and collaborationEqual OpportunityGreen Dot Corporation is an equal opportunity employer committed to fostering an inclusive environment for all employees and applicants.

We celebrate diversity and are dedicated to building a workforce that reflects a variety of backgrounds, perspectives, and skills. All employment decisions are made based on merit, qualifications, and business needs without regard to race, color, religion, gender, sexual orientation, gender identity, age, national origin, veteran status, or any other protected characteristic.