AI Automation & Research Analyst

We’re looking for someone who’s genuinely comfortable working with AI tools day-to-day and has some coding ability to build simple automations. Someone who can take a messy, manual process and turn it into something faster and more repeatable. A background in finance or analysis is a strong advantage, but it is not a primary requirement.

Key Responsibilities:

• Build and maintain lightweight automation tools and pipelines — e.g. document/data extraction from PDFs, news digest systems, scheduled data pulls, simple crawlers
• Use AI tools (Claude, ChatGPT, or similar) as a core part of daily workflow — not just for occasional help, but to actually produce output: summarizing documents, classifying content, drafting analysis, building decks
• Knows the basic-intermediate code to connect tools together, automate repetitive tasks, or extract structured data from unstructured sources
• Support investment research tasks when needed — reading company filings/reports, organizing data, helping build financial models
• Build presentation decks (PowerPoint) for internal use and external presentations
• Proactively look for tasks that are still manual and figure out how to automate or speed them up with AI

Ideal Skill Set:

• Strong, hands-on familiarity with AI tools — comfortable prompting effectively, chaining tasks, and using AI for real production work, not just casual use
• Basic to intermediate coding skills; comfortable with things like APIs, simple scripts, scheduled tasks
• Curious and self-directed
• Comfortable working with messy/unstructured data (PDFs, scanned documents, inconsistent formats)

Nice to Have (Plus Points):

• Experience with automation platforms or tools like GitHub Actions, web scraping, or no-code/low-code tools
• Background in financial/equity analysis, accounting, or investment research
• Interest in capital markets

Location: Surabaya, Indonesia

Skills: Data Mining, Neural Network, Pattern Recognition, Computer Vision, Data Engineering, AI Tools, Natural Language Processing (NLP), Machine Learning, Artificial Intelligence, Redis, Deep Learning