Sicredi is a Brazil-based cooperative financial institution serving individuals, businesses, and the agribusiness sector with banking, credit, investment, insurance, and other financial services. Its cooperative model centers on more than 9 million members, combining personalized service with local community development and the reinvestment of resources across the regions where it operates. With more than 2,800 branches nationwide, Sicredi offers a broad environment for professionals working across financial services, insurance, consulting, and related operations.
Senior Anti-Money Laundering Analyst (AML) – Hybrid in Porto Alegre
Senior AML analyst role focused on investigations, risk indicators, and automated controls at Sicredi. Join a Brazilian financial cooperative working to prevent money laundering and terrorist financing.
Description
- Provide technical leadership on anti-money laundering and counter-terrorist financing matters, acting as a subject-matter reference for the team
- Ensure regulatory compliance with established standards and procedures, including BCB Circular No. 3,978 and other applicable requirements
- Plan and conduct investigations into suspected money laundering involving members, employees, partners, or third parties
- Support technology initiatives for alert automation, analytical intelligence, data integration, and management reporting
- Advise on AML/CTF monitoring rules and scenarios, and recommend enhancements to monitoring tools
- Create and analyze strategic AML/CTF indicators related to trends, control performance, and decision-making
- Lead process improvement and innovation initiatives across the function
- Develop, review, and implement AML/CTF policies and procedures consistent with national and international regulations
- Produce and circulate executive process reports that present consolidated risks in a format suited to senior management
- Build, monitor, and validate strategic KPIs and dashboards
- Conduct data analysis for AML/CTF research and studies
- Test and validate analytical hypotheses and experiments
- Assess occurrences across AML/CTF activities and recommend performance-based adjustments
- Support the department’s restructuring and centralization efforts
- Provide operational support and assistance to AML/CTF teams
Requirements
- Bachelor’s degree in data science or technology
- Knowledge of data analysis, Databricks, Tableau, artificial intelligence, SQL, Python, Looker, and Power BI
- Communicate clearly and assertively
- Strong ability to synthesize complex information
- Effective problem-solving skills
- Constructive and solution-oriented mindset
Benefits
- Fourteenth and fifteenth fixed annual salary payments
- Profit-sharing plan based on seniority
- Health and dental insurance without co-payments
- Well-being programs through Wellhub, formerly Gympass, including nutrition, psychological support, workplace exercise, massage, running groups, and local gym access
- Food and meal allowances with flexible allocation between the two cards and no co-payment
- Extended maternity and paternity leave
- Childcare or nanny allowance for children through age 6 years and 11 months
- Allowance for children with disabilities without an age limit
- Life insurance
- Private pension plan with employer contributions of up to 8% of salary
- Sicredi Aprende training platform with a broad course catalog
- 40-hour workweek supported by a time-banking system
- Remote-work allowance, except for fully on-site positions