Fraud Analyst jobs in Tel Aviv-Yafo

Play Perfect is a fast-growing mobile gaming company that provides entertainment to millions of users around the world. The company is headquartered in Tel Aviv. With a team of talented and passionate developers, designers, industry experts and gamers, Play Perfect is at the forefront of creating immersive gaming experiences that engage players on a whole new level. As we continue to push the boundaries of what is possible in gaming, Play Perfect is poised to shape the future of the industry and redefine what it means to be a skill-based gaming company. As we expand, we're looking for a rockstar Fraud Analyst to join our great team. Responsibilities: Analyse customer behaviour and identifying suspicious trends and suggesting possible solutions, estimating impact Research complex fraud patterns, adversarial behaviors, and emerging threats Develop and maintain the fraud models, including implementing new methodological Analyze large-scale datasets to identify emerging fraud trends, patterns, and techniques. Generate actionable insights that improve decision accuracy and guide business stakeholders on model usage, impact, and implementation. Collaborate with internal colleagues across departments, including Product Managers, Data Scientists and Data Engineers. Requirements At least 3 years of professional work experience as a Fraud Analyst or as a Business Analyst Self-reliant, proactive, and capable of taking initiative, with the ability to work independently while driving projects forward with minimal supervision High proficiency in SQL and experience in querying large and complex data sets Knowledge of the payment ecosystem and risk fields and gaming - a big advantage Self-reliant, proactive, and capable of taking initiative, with the ability to work independently while driving projects forward with minimal supervision Manage multiple tasks at a time in a fast-paced environment Exceptional ability to understand data and to transform it into insights BA/BSc in Statistics / Industrial Engineering or other quantitative fields

Description Bluespine is looking for curious, analytical, and highly motivated individuals to join our Medical Fraud & Anomaly Research team. In this role, you will leverage Bluespine's proprietary Insights Platform to investigate healthcare claims, identify unusual billing patterns, uncover potential fraud and payment anomalies, and turn data into meaningful findings for our customers. This is not a traditional medical or data analyst position. We are looking for natural investigators people who enjoy solving complex problems, connecting the dots, challenging assumptions, and digging deeper to understand why something doesn't make sense. What You'll Do • Leverage Bluespine's Insights Platform to investigate medical claims, analyze billing patterns, and identify potential fraud, anomalies, and payment inconsistencies across our customers. • Investigate and validate findings, distinguishing meaningful anomalies from statistical noise, normal variations, and legitimate exceptions. • Connect the dots and expand investigations, turning individual findings into broader investigative opportunities, recurring patterns, and scalable detection concepts. • Conduct independent research using medical literature, publicly available information, and multiple data sources to support investigations. • Present clear, evidence-based findings, explaining the underlying analysis, supporting evidence, potential implications, and recommended next steps. • Contribute to improving detection capabilities by sharing investigative insights and identifying opportunities to enhance Bluespine's platform. • Collaborate with experienced analysts and medical experts to investigate complex cases. Requirements • Current student or recent graduate in Medical Sciences, Life Sciences, Biology, Neuroscience, Bioinformatics, Data Science, or another analytical or research-oriented field. • Alternatively, a background in intelligence research, analytical military service, fraud investigation, or similar investigative work. • Experience investigating anomalies, fraud, or unusual behavioral patterns in data-driven sectors such as FinTech, healthcare, insurance, financial services, or cybersecurity. • Strong analytical thinking and problem-solving abilities. • Natural curiosity and a passion for research, investigation, and discovering patterns. • Ability to connect information, identify inconsistencies, and think beyond the obvious. • Independent learning skills and a proactive, self-driven approach. • Comfortable working with data, technology, and AI-powered tools. • Strong English reading and writing skills. Nice to Have • Experience in military intelligence, research, or investigative roles. • Academic or practical experience in medical or scientific research. • Familiarity with SQL, Python, Excel, or data analysis tools. • Interest in medicine, healthcare systems, or medical technologies. • Prior experience in US healthcare, medical billing, or insurance claims

Description Bluespine is looking for curious, analytical, and highly motivated individuals to join our Medical Fraud & Anomaly Research team. In this role, you will leverage Bluespine's proprietary Insights Platform to investigate healthcare claims, identify unusual billing patterns, uncover potential fraud and payment anomalies, and turn data into meaningful findings for our customers. This is not a traditional medical or data analyst position. We are looking for natural investigators people who enjoy solving complex problems, connecting the dots, challenging assumptions, and digging deeper to understand why something doesn't make sense. What You'll Do • Leverage Bluespine's Insights Platform to investigate medical claims, analyze billing patterns, and identify potential fraud, anomalies, and payment inconsistencies across our customers. • Investigate and validate findings, distinguishing meaningful anomalies from statistical noise, normal variations, and legitimate exceptions. • Connect the dots and expand investigations, turning individual findings into broader investigative opportunities, recurring patterns, and scalable detection concepts. • Conduct independent research using medical literature, publicly available information, and multiple data sources to support investigations. • Present clear, evidence-based findings, explaining the underlying analysis, supporting evidence, potential implications, and recommended next steps. • Contribute to improving detection capabilities by sharing investigative insights and identifying opportunities to enhance Bluespine's platform. • Collaborate with experienced analysts and medical experts to investigate complex cases. Requirements • Bachelor’s degree in Medical Sciences, Life Sciences, Biology, Neuroscience, Bioinformatics, Data Science, or another analytical or research-oriented field. • +2 years of experience in intelligence research, analytical military service, fraud investigation, or similar investigative work. • Experience investigating anomalies, fraud, or unusual behavioral patterns in data-driven sectors such as FinTech, healthcare, insurance, financial services, or cybersecurity. • Strong analytical thinking and problem-solving abilities. • Natural curiosity and a passion for research, investigation, and discovering patterns. • Ability to connect information, identify inconsistencies, and think beyond the obvious. • Independent learning skills and a proactive, self-driven approach. • Comfortable working with data, technology, and AI-powered tools. • Strong English reading and writing skills. Nice to Have • Academic or practical experience in medical or scientific research. • Familiarity with SQL, Python, Excel, or data analysis tools. • Interest in medicine, healthcare systems, or medical technologies. • Prior experience in US healthcare, medical billing, or insurance claims