About the Client
We are reinventing consumer credit. We wildly reduce the cost of capital by using technology to easily tap into people’s assets. Our first product is the world's cheapest credit card – backed by home equity. Using many patented technologies, we sped up a process that usually takes 4-6 weeks and thousands of dollars down to as fast as 15 minutes and $0 to get.
Who are we?
We are a well-capitalized (over $250MM in equity funding) team of technology (Square, Microsoft, Facebook) and finance (Discover, CapitalOne, Goldman Sachs) executives with top-tier investors – Founders Fund, Khosla Ventures, Max Levchin, NYCA, Sequoia, SciFi VC, Caffeinated Capital, etc.
Our team includes people who have built:
Financial products (Square/CashApp, the earliest CapitalOne credit cards)
Consumer products (Internet.org, Xbox)
Technology infrastructure (Visual Studio, Windows & Azure, helped design the C++ & C# languages)
Mathematics & science infrastructure (computational research at NASA’s JPL)
We are missionaries who like to work hard on important problems - and build products that become infrastructure for society. We believe that using technology to lower the cost of capital for consumers is one of these problems - and if we can do it, it could have an infinite impact on people’s lives.
As a Business Analyst, you will bridge the gap between financial operations and cutting-edge AI. You will be responsible for designing, building, and maintaining production-grade "agentic" workflows using n8n as your primary orchestration engine and Google Gemini for advanced reasoning, document processing, and natural language tasks.
Your work will directly impact our "managerial leverage" by automating the "limiting steps" in our financial services, such as fraud detection, compliance monitoring, and automated customer research.
Workflow Orchestration: Design and deploy complex, multi-step automations in n8n that integrate with internal financial databases, CRMs (Salesforce/HubSpot), and banking APIs.
AI Agent Development: Build autonomous AI agents using the Gemini API for tasks like document extraction (OCR), financial sentiment analysis, and automated report generation.
Production Reliability: Implement robust error handling, retries, and monitoring to ensure workflows do not "fail silently"—critical for fintech operations.
Data Security: Ensure all automations adhere to strict financial data privacy standards, implementing encryption and secure credential management.
Continuous Optimization: Use AI to analyze existing business processes and suggest "high-leverage" automation opportunities to reduce manual overhead.
Hands-on n8n Expertise: Proven experience building and debugging production-level workflows in n8n (including custom nodes and JavaScript function nodes).
LLM Proficiency: Deep understanding of Google Gemini or other Large Language Models, specifically in prompt engineering and tool-calling capabilities.
API Mastery: Strong experience with REST/GraphQL APIs, webhooks, and OAuth2 authentication.
Scripting: Proficiency in Python or Node.js for writing custom logic within automation nodes.
Database Knowledge: Solid SQL skills for querying and managing financial data across various systems.
Candidates must be residing in the Philippines.