Blend data collected from payment methods such as credit cards to meet investment needs and provide it to global investors executing domestic corporate securities investment
- Collect and integrate data generated from payment methods like credit cards, POS, and mobile.
- Blend (process/combine, etc.) the collected data by payment method to meet the needs of global investors.
- Complete a dataset containing daily sales information of over 1,000 domestic companies (including listed and unlisted).
- Selectively customize it to meet customer needs.
- Provide the customized dataset to global data distributors and hedge funds, etc., for global investors.
• Analyze large-scale consumer transaction data (mainly card payments, expanding into various alternative data in the future) to derive revenue trends and insights by company and industry, supporting global hedge funds in analyzing competitive investment signals through this data
• For global hedge fund clients: Manage the use case, analyze data, define possible models and provide/explain them to clients
• In front of the internal data product team: Play a key input role in data design supporting data product planning and improvement, participate in data schema and metadata design
• Operate and write the website use case menu
• Collaborate with the data product team and engineering team to discover and implement areas of AI/ML utilization
• Education: Relevant majors such as AI/ML engineering, computer science, data engineering, software engineering, economics, statistics
• Experience: Over 3 years of data analysis experience related to finance, alternative data, or global hedge funds
• Proficient in Python (Pandas, NumPy), SQL, and AI/ML-based modeling, with an understanding of data integrity, normalization, and validation processes
• Strong interest in AI, data-driven decision-making, and global financial markets, with compelling motivations for it.
• Master’s and Doctorate degrees
• Ability to write documents at a global level and provide examples
• Experience in collaboration with global financial data companies or quantitative hedge funds on development/analysis
• Proficient use of AI tools such as NLP
• Experience using BI tools (Tableau, Power BI, Metabase, etc.)
Benefits and Work Environment
• Experience in developing global alternative data, which is the latest trend in global AI/data/finance, and direct collaboration with the world’s top hedge funds/investment institutions
• Offering flexible and competitive salary and stock option systems
• A flexible and autonomous work culture as a venture company, with various global growth opportunities
Document screening - 1st interview - Final acceptance
