
11 - 50 employees
💼 Consulting
☁️ SaaS
🤝 B2B
Consulting • SaaS • B2B
SOFTETA is a leading IT service provider specializing in custom software development, digital transformation, and IT consulting for businesses of all sizes. From early-stage discovery to full-scale implementation, SOFTETA offers a comprehensive range of services including front-end and back-end development, AI and data solutions, and quality assurance. They partner with industry leaders globally to deliver tailored technology solutions that enhance business growth and efficiency. With a team capable of rapid scaling and delivering end-to-end solutions, SOFTETA ensures seamless execution and successful project outcomes for enterprises and startups alike.
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Where this job comes from
Posted on SOFTETA's careers page, not through a job board
First seen by Remote Rocketship 0 minutes ago

11 - 50 employees
💼 Consulting
☁️ SaaS
🤝 B2B
Consulting • SaaS • B2B
SOFTETA is a leading IT service provider specializing in custom software development, digital transformation, and IT consulting for businesses of all sizes. From early-stage discovery to full-scale implementation, SOFTETA offers a comprehensive range of services including front-end and back-end development, AI and data solutions, and quality assurance. They partner with industry leaders globally to deliver tailored technology solutions that enhance business growth and efficiency. With a team capable of rapid scaling and delivering end-to-end solutions, SOFTETA ensures seamless execution and successful project outcomes for enterprises and startups alike.
• Investigate fraudulent activities and suspicious transactions. • Identify and analyze fraud patterns, attack methods, and anomalies. • Perform data-driven forensic investigations and root cause analysis. • Analyze large datasets to identify trends and potential threats. • Provide actionable insights and recommendations for fraud prevention. • Collaborate with backend engineering teams and reduce their investigative workload. • Document findings and communicate investigation results.
• 5+ years of experience in Analytics Engineering, Data Analytics, or Fraud Analytics. • Strong hands-on experience in fraud analysis and forensic investigations. • Proven ability to identify suspicious activities and attack patterns. • Strong analytical and problem-solving skills. • Ability to work independently and take immediate ownership of investigations.
• Diverse and technically challenging projects. • Flexible working hours and a hybrid or remote workplace model. • Flexible schedule and an Agile/SCRUM environment. • Technical equipment that you can choose.
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