• Manage Go development projects • Coordinate development activities with the team • Monitor and improve code quality • Collaborate with other developers and stakeholders

Financial Crimes Model Developer Location: Charlotte, NC, Minneapolis, MN, Tempe, AZ, West Des Moines, IA, Irving, TX, or St Louis, MO, United States (Hybrid) Job Description: Oracle BSA Predictive Modeling AML Financial Crimes Analytics Consultant Python Model Development SQL Data Scientist Title: Financial Crimes Model Developer Location: 401 S Tryon St Charlotte, NC Alternate Locations: Minneapolis, MN, Tempe, AZ, West Des Moines, IA, Irving, TX, or St Louis, MO Duration: 12 months Work Engagement: W2 Work Schedule: 4 days in office/1 day remote Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits Summary: The Financial Crimes Model Developer is responsible for the development, ownership, and maintenance of analytics and models used to detect and prevent financial crimes, including anti-money laundering (AML) activity. This role works with large-scale, complex financial datasets and partners closely with risk, compliance, and technology teams to ensure models meet regulatory expectations and business needs. Responsibilities: - Serve as a model owner and/or developer for financial crimes and AML transaction monitoring models across the model lifecycle, including development, testing, implementation, and ongoing performance monitoring. - Develop, enhance, and validate analytical models using large, complex datasets such as transactional data, customer profiles, and product-level information. - Perform advanced data analysis using SQL and Python to support model development, tuning, and issue resolution. - Partner with business, compliance, audit, and technology stakeholders to identify risks, explain model behavior, and propose effective solutions. - Clearly articulate complex modeling concepts, risk insights, and recommendations to audiences at varying technical and management levels. - Ensure models comply with regulatory requirements and internal governance standards, including applicable AML and financial crimes regulations. - Support model documentation, governance reviews, and regulatory inquiries as needed. Qualifications: - Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship. - Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, or Economics; advanced degree preferred. - Proven experience as a model owner or developer for financial crimes or AML-related models. - Strong proficiency in SQL and Python. - Experience working with large-scale, high-volume, and complex datasets in a financial institution environment. - Excellent verbal, written, and interpersonal communication skills, with the ability to clearly explain complex concepts and risks. - Working knowledge of AML transaction monitoring and regulatory requirements, including the Bank Secrecy Act (BSA) and USA PATRIOT Act. - Familiarity with big data tools and advanced analytical techniques. - Experience with Oracle platforms. - Prior experience within a large financial institution or highly regulated environment.

• Help customers install, maintain and grow their AI solution built on ArangoDB and our AI suite • Assist customers in deploying, operating, and scaling ArangoDB‑based AI systems with confidence • Diagnose issues and build and configure deployments • Help customers with writing queries and improving performance • Train internal and external teams when required

• Desenvolver, arquitetar e evoluir sistemas de Banking altamente escaláveis e resilientes do zero. • Projetar e implementar soluções focadas em PIX, meios de pagamento e novos produtos bancários. • Garantir a qualidade do código através de boas práticas de desenvolvimento (Clean Code, SOLID, Design Patterns) e testes automatizados. • Atuar ativamente em pipelines de CI/CD para automação de entregas. • Colaborar com times multidisciplinares (Produto, Design e QA) para traduzir requisitos de negócio em arquiteturas técnicas eficientes. • Identificar e propor melhorias contínuas na arquitetura e infraestrutura cloud.