Business Analyst AFC

Experience: Mid-Senior level Softeta is a software engineering partner for finance, energy, industrial, and other high-stakes sectors. We specialize in building and modernizing backend-heavy, integration-critical systems where speed, accuracy, and reliability are non-negotiable. With 100+ AI and custom software experts across engineering hubs in Lithuania and Poland, we embed ourselves directly into client operations — delivering custom software, automation, and AI where they drive the most value. Clients such as SEB, NordVPN, and CarVertical trust us with systems that serve millions of users globally. We strive for excellence, that’s why we created Cobble – Softeta’s own AI-native development workflow, built by our engineers, that standardizes how developers work with AI agents from requirement to working code. We are looking for an experienced Business Analyst to support the Anti-Financial Crime (AFC) System Management Unit within the Financial Crime Risk Management Department. Job description Analyze and translate business requirements into functional and technical specifications. Support CARS and Transaction Monitoring implementation, configuration, and optimization. Design and maintain TM scenarios, business rules, customer risk scoring models, and investigation workflows. Support system migrations, process improvements, and change management initiatives. Analyze customer and payment data using SQL and Python. Prepare technical documentation, AML typology documentation, analytical reports, and presentations. Collaborate with Application Owners, business stakeholders, and technology teams. Support Agile delivery using Jira, Confluence, and Scrum/Kanban methodologies. Requirements Strong expertise in AML, Anti-Financial Crime (AFC), and financial crime processes and regulations. Proven experience in Business Analysis and Transaction Monitoring implementation. Experience designing and implementing TM scenarios, business rules, customer risk scoring models, and investigation workflows. Knowledge of AML methodologies, regulatory requirements, and industry guidelines. Experience with process mining, workflow design, and change management. Strong SQL skills and proficiency in Python for data extraction and analysis. Experience with customer/payment data, ETL processes, and statistical analysis. Experience preparing technical specifications and implementation documentation. Knowledge of Agile methodologies and tools such as Jira and Confluence. Understanding of event-driven architecture, data lakes, data warehouses, and Kafka. Familiarity with Kubernetes, Kafka, AWS, Power BI, and Tableau. Strong stakeholder management, communication, and analytical skills. Fluent English, both written and spoken. Nice to have Experience in Financial Crime Risk Management. Experience with Bridger XG, Siron Suite, Compliance Lens, or AML Analytics. Benefits Diverse and technically challenging projects; Training budget for professional and personal growth; Flexible working hours and a hybrid workplace model; Flexible schedule and an Agile/SCRUM environment; Technical equipment that you can choose. Salary: For employees: 4000 EUR to 6000 EUR monthly (gross). For contractors: 25 EUR to 38 EUR per hour (plus VAT).