Job Description

EverC, now part of G2 Risk Solutions, is a pioneer in its field. By using technologies that illuminate the darkest corners of the internet and provide unparalleled visibility into the largest source of data in the world, the internet. EverC uses artificial intelligence and machine learning techniques to assess hundreds of millions of domains and effectively categorize the internet. These insights shine a light on hidden relationships and risks, identify an entity’s full digital fingerprint, and reveal new opportunities to scale businesses efficiently and confidently.

EverC is seeking a passionate Senior Data Analyst to help protect organizations from fraud threats while delivering high-quality solutions. As a Data Analyst your work will be pivotal in safeguarding organizations worldwide from emerging fraud threats, ensuring that our solutions remain at the forefront of the industry.

As a Data Analyst you will:

• Develop and implement innovative detection strategies for regulated products or merchant activity using both structured and unstructured data.
• Continuously optimize classification models and algorithms, ensuring they adapt to emerging threats and remain cutting-edge.
• Research merchant data, web behavior, and digital fingerprints to uncover fraud, risk patterns, or intellectual property infringement.
• Design and implement automation solutions to improve the efficiency of data analysis workflows and fraud detection processes.
• Collaborate cross-functionally with product managers, software engineers, data scientists, and subject matter experts to define, develop, and enhance scalable fraud detection products within EverC’s core offerings.

Requirements

• 4+ years of experience working with big data under R&D or product department - MUST
• High proficiency in Python and experience in querying large and complex data sets - MUST
• Strong problem-solving skills and a proactive approach.
• Experience with Spark- an advantage.
• Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• BA/BSc in Statistics, Economics, Industrial Engineering, or another quantitative field (Master’s degree is a plus).
• Working experience in building analytical solutions through automations, algorithms and LLMs – an advantage.