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6 days ago
We are seeking an expert in predictive analytics to develop and deploy machine learning models that identify suspicious activities and patterns. As a Fraud Data Analyst, you will play a critical role in driving business growth by mitigating financial losses due to fraudulent behavior.
Your primary responsibility will be to design and implement predictive analytics models that detect and prevent fraud. You will work closely with cross-functional teams to enhance fraud monitoring systems, reduce false positives, and optimize performance.
You will conduct data analysis to identify vulnerabilities and recommend proactive measures to prevent financial losses. Additionally, you will develop and track key performance indicators (KPIs) to measure the effectiveness of fraud detection strategies.
Required Skills and Qualifications- Master's degree in data science, statistics, economics, business administration, or a related field.
- 10+ years of experience in fraud analytics, risk management, or data analytics.
- Proven track record of developing and implementing fraud detection systems.
- Expertise in data analytics tools such as Python, R, SQL, and SAS.
- Familiarity with machine learning platforms and fraud detection software.
- Strong analytical and problem-solving skills.
- Excellent leadership and team-building abilities.
- Strategic thinker with strong business acumen.
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