Senior FEC Risk Analyst

Jobtailor; Porto Alegre; Presencial; BRL 90 000 - 150 000; Tempo integral

Resumo da oferta

Jobtailor seeks a Fraud Prevention Specialist to strengthen data-driven controls, analyze suspicious activity, and support risk-based decision making in Brazil. You will work with risk teams to identify vulnerabilities and develop preventive rules.

Ideal candidates have strong SQL/NoSQL experience, Power BI expertise, advanced English, and a background in AML/fraud prevention, with programming skills (Python) to automate analyses.

Qualificações

• Experience working with large databases, including SQL and NoSQL.
• Proficiency in using Power BI to collect, organize, and analyze information.
• Advanced English proficiency.
• Professional experience in fraud prevention.
• Knowledge of regulatory requirements related to AML and fraud prevention.
• Experience with programming languages, preferably Python.

Responsabilidades

• Strengthen the bank's fraud prevention initiatives through data analysis, investigation of suspicious activity, and the development of preventive controls and rules.
• Partner with business and risk teams to identify vulnerabilities in new products and operations.
• Support decision-making with analytical reports and insights.
• Promote internal awareness of fraud risks.
• Contribute to strategic discussions in local and regional forums and committees.
• Use analytics to develop implementation support materials, enhance rules, and prevent fraud.
• Prepare assessments of suspected fraud cases.
• Prepare reports and presentations on fraud prevention activities and provide recommendations for continuous improvement.
• Map the risks associated with new operations and products in collaboration with Risk teams, adapting the risk tool accordingly.
• Investigate and analyze fraudster behavior patterns through data analysis.
• Create and deliver training designed to prevent future fraud cases.
• Develop and update standard operating procedures related to fraud prevention.
• Participate in local and regional committees.

Conhecimentos

Data Analysis

SQL

Power BI

Python

Fraud Prevention

AML Knowledge

Ferramentas

SQL

NoSQL

Power BI

Descrição da oferta de emprego

• Strengthen the bank's fraud prevention initiatives through data analysis, investigation of suspicious activity, and the development of preventive controls and rules.
• Partner with business and risk teams to identify vulnerabilities in new products and operations.
• Support decision-making with analytical reports and insights.
• Promote internal awareness of fraud risks.
• Contribute to strategic discussions in local and regional forums and committees.
• Use analytics to develop implementation support materials, enhance rules, and prevent fraud.
• Prepare assessments of suspected fraud cases.
• Prepare reports and presentations on fraud prevention activities and provide recommendations for continuous improvement.
• Map the risks associated with new operations and products in collaboration with Risk teams, adapting the risk tool accordingly.
• Investigate and analyze fraudster behavior patterns through data analysis.
• Create and deliver training designed to prevent future fraud cases.
• Develop and update standard operating procedures related to fraud prevention.
• Participate in local and regional committees.

Requirements

• Experience working with large databases, including SQL and NoSQL.
• Proficiency in using Power BI to collect, organize, and analyze information.
• Advanced English proficiency.
• Professional experience in fraud prevention.
• Knowledge of regulatory requirements related to Anti-Money Laundering (AML) and fraud prevention.
• Experience with programming languages, preferably Python.

Core Competencies

Demonstrates expertise in fraud prevention through data analysis, risk assessment, and the development of preventive controls. Proficient in utilizing analytics tools and methodologies to enhance fraud prevention strategies and support decision-making.

Highest-signal resume keywords

• Fraud Prevention
• Data Analysis
• SQL
• Power BI
• Anti-Money Laundering (AML)

Hard Skills

• Data Analysis
• Fraud Prevention
• SQL
• NoSQL
• Python
• Report Preparation
• Risk Assessment
• Preventive Controls
• Training Development
• Standard Operating Procedures

Soft Skills

• Communication
• Collaboration
• Strategic Thinking
• Problem Solving
• Presentation Skills

Industry Keywords

• Fraud Prevention
• Risk Management
• Regulatory Requirements
• Anti-Money Laundering (AML)
• Fraudster Behavior Patterns

Tools & Technologies

• Power BI