台中市北屯區5年以上學歷不拘月薪77,000~110,000元
What We Need:
We are seeking an experienced and strategic-minded Senior Fraud Analyst to join our team. The ideal candidate will lead efforts to proactively detect, prevent, and mitigate fraud risks by developing analytical initiatives, leveraging data-driven insights, and implementing innovative fraud prevention strategies. This role will collaborate closely with cross-functional teams to safeguard the organization and its stakeholders.
Key Responsibilities:
● Fraud Prevention and Detection: Develop, implement and monitor proactive fraud detection and prevention strategies and risk-scoring systems. This includes building fraud rules or heuristics and designing tactical or mitigation across our platforms and games.
● Data analysis and insights: Analyze complex datasets to identify fraud patterns, trends, anomalies or vulnerabilities. Generate actionable insights to mitigate risks, including identifying data opportunities or gaps.
● Process Enhancement: Evaluate and enhance existing fraud detection and prevention processes and tooling to improve effectiveness of identifying various fraud. Build a fraud risk management framework and participate in risk assessments for pre or post-game launches.
● Collaboration: Work closely with internal teams, including backend technology, game designers, data analysts, and operations team to align fraud strategies. Validate concepts with attack simulations or scenarios.
● Reporting: Prepare detailed reports and dashboards to communicate findings, trends, and recommendations to management and key stakeholders. Monitor KPIs related to fraud detection, prevention or fraud risk management as a whole.
Who We Think Will Be A Great Fit:
● A Bachelor's or Master's degree in Data Science, Statistics, Finance, Computer Science, Engineering, or a related discipline.
● Minimum 3-4 years of experience in fraud analytics, risk management, or a related field, with an overall 5+ years of work experience. Experience is igaming industry is strongly preferred.
● Proven experience in developing and deploying fraud detection and prevention tools.
● Proficiency in SQL, Python, or other data analytics languages and tools. Familiarity with machine learning systems is a plus.
● Strong analytical and problem-solving skills.
● Excellent communication, problem-solving, and presentation abilities.
● A passion for gaming and eagerness to learn about the industry. Stay up to date with emerging fraud schemes, technologies, and adapt strategies accordingly.