Fraud Strategy Analyst

As a Fraud Strategy Analyst at Straive, you will play a crucial role in the Risk & Fraud Analytics team by designing and implementing fraud prevention strategies. Your responsibilities will involve analyzing data, identifying fraud patterns, and collaborating with cross-functional teams to strengthen fraud controls. Key Responsibilities: - Utilize advanced data analytics tools to conduct in-depth fraud assessments and generate reports on fraud trends. - Investigate suspicious activities, determine root causes, and develop strategies to prevent recurrence. - Develop and implement fraud rules on workflow systems for proactive monitoring and prevention. - Create and maintain fraud reports for ongoing monitoring of fraud events. - Prepare reports and presentations outlining fraud risks, incidents, and mitigation strategies. - Collaborate with risk management, operations, compliance, and other teams to enhance fraud prevention frameworks. - Stay updated on industry trends, regulatory changes, and best practices to continually enhance fraud prevention strategies. Qualifications Required: - Bachelors/Masters degree in Statistics, Mathematics, Economics, Finance, Data Science, or a related field. - 3-7 years of experience in fraud strategy, fraud analytics, or risk management (banking/financial services preferred). - Strong expertise in data analysis, fraud detection methodologies, and rule-based strategy design. - Hands-on experience with analytics tools such as SAS, SQL, Python, or R. - Excellent problem-solving, analytical, and investigative skills. - Strong communication and presentation skills to convey complex data insights to non-technical stakeholders. Straive is a leading provider of technology-driven solutions, focused on delivering innovative data, risk, and knowledge services. The work mode is hybrid with 2 days in the office. Straive is committed to promoting equality of opportunity and welcomes applications from a diverse range of candidates. Selection for roles is based on individual merit alone.,