Fraud Investigator

Luno is a leading global digital currency company with a team of over 40 technology and finance experts, operating across several countries and continents. Our products and services make it safe and easy for people and businesses to store, buy, use and learn about digital currencies like Bitcoin. Our vision is to empower billions of people by bringing Bitcoin to everyone, everywhere.

Luno is seeking a Fraud Investigator responsible for identifying and investigating fraudulent activities to protect the platform and its users. The role involves analyzing transaction data, collaborating with teams to develop fraud prevention strategies, and ensuring compliance with security protocols. The ideal candidate will have experience in fraud detection, strong analytical skills, and a keen eye for detail. The position offers an opportunity to work in a dynamic fintech environment focused on innovation and security.

Luno is hiring a Fraud Investigator to help detect and prevent fraudulent activities on their platform.

Luno is seeking a Fraud Investigator responsible for identifying and investigating fraudulent activities to protect the platform and its users. The role involves analyzing transaction data, collaborating with teams to develop fraud prevention strategies, and ensuring compliance with security protocols. The ideal candidate will have experience in fraud detection, strong analytical skills, and a keen eye for detail. The position offers an opportunity to work in a dynamic fintech environment focused on innovation and security.Requirements:<ul><li> Experience in fraud detection or investigation, preferably in fintech or financial services</li><li> Strong analytical and problem-solving skills</li><li> Ability to analyze large datasets and identify suspicious patterns</li><li> Knowledge of fraud prevention tools and techniques</li><li> Excellent communication skills</li><li> Attention to detail and high level of integrity</li><li> Ability to work independently and as part of a team</li></ul>Benefits:<ul><li> Health insurance</li><li> Dental and vision coverage</li><li> Flexible working hours</li><li> Remote work options</li><li> Paid time off (PTO)</li><li> Parental leave</li><li> Professional development opportunities</li><li> Wellness programs</li></ul>

Luno

Fraud Investigator Luno is hiring a Fraud Investigator to help detect and prevent fraudulent activities on their platform. Luno is seeking a Fraud Investigator responsible for identifying and investigating fraudulent activities to protect the platform and its users. The role involves analyzing transaction data, collaborating with teams to develop fraud prevention strategies, and ensuring compliance with security protocols. The ideal candidate will have experience in fraud detection, strong analytical skills, and a keen eye for detail. The position offers an opportunity to work in a dynamic fintech environment focused on innovation and security. Fraud Investigator Analyst Luno financial-services cryptocurrency cryptocurrency-trading cryptocurrency-wallet-services investment-platform mobile-applications web-applications technology-information-and-internet bitcoin blockchain blockchains cryptocurrency-wallets fin-tech finance finance-technology information-technology services software virtual-currency

The Fraud Investigator will analyze suspicious activities, investigate fraud cases, and implement measures to enhance security. This role is vital in maintaining trust and safety for Luno's users.

Cloud Security Analyst

At Luno, we are seeking a Cloud Security Analyst with expertise in AWS to help safeguard our cloud infrastructure. The role involves monitoring security systems, implementing best practices, and ensuring compliance with industry standards. Luno is committed to building a diverse and inclusive environment, and this position offers an exciting opportunity to contribute to the security of a leading digital asset platform.

Luno is hiring a Cloud Security Analyst (AWS) to oversee cloud security measures and ensure compliance.

South Africa

At Luno, we are seeking a Cloud Security Analyst with expertise in AWS to help safeguard our cloud infrastructure. The role involves monitoring security systems, implementing best practices, and ensuring compliance with industry standards. Luno is committed to building a diverse and inclusive environment, and this position offers an exciting opportunity to contribute to the security of a leading digital asset platform.Requirements:<ul><li> Direct working experience with AWS</li><li> Knowledge of cloud security best practices</li><li> Experience with security monitoring and incident response</li><li> Ability to implement security controls and compliance measures</li><li> Strong problem-solving skills</li><li> Excellent communication skills</li></ul>Benefits:<ul><li> Health insurance</li><li> Remote work flexibility</li><li> Diversity and inclusion initiatives</li><li> Opportunities for career growth</li><li> Collaborative team environment</li></ul>

Cloud Security Analyst Luno is hiring a Cloud Security Analyst (AWS) to oversee cloud security measures and ensure compliance. At Luno, we are seeking a Cloud Security Analyst with expertise in AWS to help safeguard our cloud infrastructure. The role involves monitoring security systems, implementing best practices, and ensuring compliance with industry standards. Luno is committed to building a diverse and inclusive environment, and this position offers an exciting opportunity to contribute to the security of a leading digital asset platform. Cloud Security Analyst Consultant Luno financial-services cryptocurrency cryptocurrency-trading cryptocurrency-wallet-services investment-platform mobile-applications web-applications technology-information-and-internet bitcoin blockchain blockchains cryptocurrency-wallets fin-tech finance finance-technology information-technology services software virtual-currency

Join Luno as a Cloud Security Analyst to manage AWS security protocols and protect cloud infrastructure. Be part of a team that values diversity and innovation in the fintech space.

Software Engineer

Internet marketing and web development resource. Learn how to create and market a website professionally on the Internet.

At V7, we’re building AI platforms that help humans do their best work, at incredible scale and speed. Our mission is to turn human knowledge into trustworthy AI, making complex tasks faster, smarter, and more accurate.
We’re growing fast, backed by leading investors and AI pioneers (including the minds behind Transformers and Gemini).

The team you'll be joining and impact you'll have
- You'll join a high-impact research and engineering team developing large-scale synthetic data pipelines that power frontier AI models
- Bridge the gap between cutting-edge research and production systems, translating experimental insights into scalable infrastructure
- Work directly on training data that shapes the next generation of multimodal AI capabilities
- Collaborate with researchers and ML practitioners who care deeply about both scientific rigor and real-world impact

What you'll be doing from day one:
- Design and maintain modular synthetic data generation pipelines for multimodal training tasks, using proxy metrics and statistical experiments to validate output quality
- Own end-to-end LLM experiments—from prompt engineering to reproducible evaluation—accelerating iteration with modern AI tooling like Cursor and GitHub Copilot
- Build rigorous evaluation frameworks that assess pipeline performance through sound experimental design and clear statistical reasoning
- Translate research breakthroughs into production-ready systems, working across the stack with researchers and engineers to scale what works

Who you are:
- You have 3+ years of software engineering experience (Python or JavaScript preferred) and an MS+ in Computer Science, Engineering, Mathematics, or related field with strong foundations in statistics and experimental design
- You're fluent in LLM systems—from context engineering to output optimization—and stay current with research on training datasets and evaluation benchmarks (ChartQA, ChartGalaxy, synthetic data techniques)
- You're comfortable with data infrastructure: Git, DVC, shell environments, and pipeline orchestration are second nature to you
- You thrive in ambiguity with a bias toward action, viewing iteration and feedback as catalysts for discovery rather than setbacks, while maintaining scientific rigor in both code and evaluation

V7 champions equality and inclusion because diverse teams build better products. Don't check every box? Apply anyway — we value what makes you unique and will support you through the process, just let our Talent team know how they can help.

Join V7 as a Software Engineer to develop large-scale synthetic data pipelines for AI models, bridging research and production.

United Kingdom

At V7, we’re building AI platforms that help humans do their best work, at incredible scale and speed. Our mission is to turn human knowledge into trustworthy AI, making complex tasks faster, smarter, and more accurate.
We’re growing fast, backed by leading investors and AI pioneers (including the minds behind Transformers and Gemini).

The team you'll be joining and impact you'll have
- You'll join a high-impact research and engineering team developing large-scale synthetic data pipelines that power frontier AI models
- Bridge the gap between cutting-edge research and production systems, translating experimental insights into scalable infrastructure
- Work directly on training data that shapes the next generation of multimodal AI capabilities
- Collaborate with researchers and ML practitioners who care deeply about both scientific rigor and real-world impact

What you'll be doing from day one:
- Design and maintain modular synthetic data generation pipelines for multimodal training tasks, using proxy metrics and statistical experiments to validate output quality
- Own end-to-end LLM experiments—from prompt engineering to reproducible evaluation—accelerating iteration with modern AI tooling like Cursor and GitHub Copilot
- Build rigorous evaluation frameworks that assess pipeline performance through sound experimental design and clear statistical reasoning
- Translate research breakthroughs into production-ready systems, working across the stack with researchers and engineers to scale what works

Who you are:
- You have 3+ years of software engineering experience (Python or JavaScript preferred) and an MS+ in Computer Science, Engineering, Mathematics, or related field with strong foundations in statistics and experimental design
- You're fluent in LLM systems—from context engineering to output optimization—and stay current with research on training datasets and evaluation benchmarks (ChartQA, ChartGalaxy, synthetic data techniques)
- You're comfortable with data infrastructure: Git, DVC, shell environments, and pipeline orchestration are second nature to you
- You thrive in ambiguity with a bias toward action, viewing iteration and feedback as catalysts for discovery rather than setbacks, while maintaining scientific rigor in both code and evaluation

V7 champions equality and inclusion because diverse teams build better products. Don't check every box? Apply anyway — we value what makes you unique and will support you through the process, just let our Talent team know how they can help.Benefits:<ul><li> The job posting does not specify explicit benefits; however, benefits such as remote work, flexible hours, or health coverage are implied or commonly offered in similar roles. Since no explicit benefits are listed, this array remains empty.</li></ul>

Software Engineer Join V7 as a Software Engineer to develop large-scale synthetic data pipelines for AI models, bridging research and production. At V7, we’re building AI platforms that help humans do their best work, at incredible scale and speed. Our mission is to turn human knowledge into trustworthy AI, making complex tasks faster, smarter, and more accurate.
We’re growing fast, backed by leading investors and AI pioneers (including the minds behind Transformers and Gemini).

The team you'll be joining and impact you'll have
- You'll join a high-impact research and engineering team developing large-scale synthetic data pipelines that power frontier AI models
- Bridge the gap between cutting-edge research and production systems, translating experimental insights into scalable infrastructure
- Work directly on training data that shapes the next generation of multimodal AI capabilities
- Collaborate with researchers and ML practitioners who care deeply about both scientific rigor and real-world impact

What you'll be doing from day one:
- Design and maintain modular synthetic data generation pipelines for multimodal training tasks, using proxy metrics and statistical experiments to validate output quality
- Own end-to-end LLM experiments—from prompt engineering to reproducible evaluation—accelerating iteration with modern AI tooling like Cursor and GitHub Copilot
- Build rigorous evaluation frameworks that assess pipeline performance through sound experimental design and clear statistical reasoning
- Translate research breakthroughs into production-ready systems, working across the stack with researchers and engineers to scale what works

Who you are:
- You have 3+ years of software engineering experience (Python or JavaScript preferred) and an MS+ in Computer Science, Engineering, Mathematics, or related field with strong foundations in statistics and experimental design
- You're fluent in LLM systems—from context engineering to output optimization—and stay current with research on training datasets and evaluation benchmarks (ChartQA, ChartGalaxy, synthetic data techniques)
- You're comfortable with data infrastructure: Git, DVC, shell environments, and pipeline orchestration are second nature to you
- You thrive in ambiguity with a bias toward action, viewing iteration and feedback as catalysts for discovery rather than setbacks, while maintaining scientific rigor in both code and evaluation

V7 champions equality and inclusion because diverse teams build better products. Don't check every box? Apply anyway — we value what makes you unique and will support you through the process, just let our Talent team know how they can help. Software Engineer Engineer V7N financial-services online-and-mail-order-retail financial-trading-platform cryptocurrency-trading stock-trading forex-trading online-audio-and-video-media Python JavaScript Git DVC shell environments pipeline orchestration Cursor GitHub Copilot London

V7 is seeking a Software Engineer to build synthetic data pipelines and scale AI systems. The role involves designing modular systems, owning experiments, and translating research into production.

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