Blend data collected from payment methods such as credit cards according to investment needs and provide it to global investors executing investments in domestic corporate securities.
- Collect and integrate data generated from payment methods such as credit cards, POS, and mobile.
- Blend (process/combine) the collected data per payment method according to the needs of global investors.
- Complete datasets containing daily sales data of more than 1,000 domestic companies (including listed/non-listed companies).
- Selectively customize data according to customer needs.
- Provide the customized datasets to global data distributors and hedge funds, etc.
• Data Product Engineering: Developing data products based on alternative data such as payment data from Korea and providing them to global investment institutions
- Development/improvement of data pipelines
- Data collection/engineering using AI/ML modeling, API development, etc.
• Web Platform Development/Operation: Maintenance of web services for data product delivery and development of new features
• Development Lead: Overall code quality management for the development team's work, guidance for team members, mentoring, and integrated training/skill-up
• Improvement of AI/Data/Quant related frameworks, introduction of new technologies
• Collaboration: Technical collaboration with the CEO and Quant/Product teams
• Education: Major in Computer Science, Data Engineering, Software Engineering, or related fields
• Experience: Over 3 years of software development experience
• Competencies
- Backend expertise: LLM APIs, Python (Django/FastAPI/Flask), Node.js, etc.
- Proficient in frontend: React / Next.js / Vue.js (currently operating a web based on Ruby on Rails)
• Master's degree or higher
• Experience in developing/maintaining data pipelines
• Experience in high-level large-scale data processing or AI/ML design/implementation
• Experience in cloud environments like AWS, Databricks related to data pipelines and Docker/Kubernetes, CI/CD
• Experience collaborating with global financial data companies or global/domestic quant hedge funds
• Ability to communicate in English (written, spoken)
• Successful experience in leading/mentoring venture development teams (small teams)
• Recommendation from a direct connection of the company's CEO on LinkedIn
Benefits and Work Environment
• Conducting the global trend of developing global alternative data in AI/Data/Finance with a world-class engineering team. Accordingly, references/collaboration/technical acquisition, etc.
• Providing flexible and competitive salary and stock option systems
• Opportunities for team building and technical leadership
Document Screening - First Interview - Final Acceptance
Document Screening:
- Korean or English resume
- Family relationship certificate
- (Optional) GitHub / Portfolio link
