Full Stack Developer

???? In-Depth Job Description for Lead Developer (Athena Trading Bot & Dashboard)
???? Position: Senior Full-Stack Python Developer – Build Athena AI Trading System
Location: Remote (Philippines preferred)
Hours: 40–50/week, full-time contract
Term: 3–6 months build + long-term opportunity for ongoing support
Salary: ?100,000–?130,000/month PHP (NZD $2,500–$3,250/month depending on experience)

???? Project Overview
We’re building Athena Quant – an AI-powered trading assistant and dashboard that tracks smart money signals like insider trades, hedge fund filings, analyst upgrades, and options activity.
The system will score and execute high-conviction LEAP option trades using a custom-built dashboard connected to the Alpaca API.

You will own the entire technical build, working directly with the founder (non-technical) to bring this from idea to working system.

????? What You'll Be Building
???? Signal Processing
Fetch and parse Form 4 filings (insider buying)

Ingest 13F hedge fund filings

Scrape analyst upgrades and price targets

Monitor unusual options activity

???? AI Scoring & Trade Engine
Use GPT-4/FinGPT to rank signals based on conviction

Match to historical alpha-producing setups

Generate LEAP trade ideas with expiry/strike/risk logic

Trigger trade actions when rules are met

???? Dashboard Interface
Build a multi-tabbed dashboard in Dash (Plotly)

Ticker watchlist & signal screener

Conviction score breakdown

News & sentiment panel

LEAP contract suggestion module

Trade execution & logging

Performance + P&L analysis

???? Execution & Automation
Connect Alpaca API for live & paper trading

Set up Zapier or webhook alerts to Slack, Telegram, or email

Log trades into Notion or Airtable automatically

Optional: add backtesting engine to validate strategies

???? Required Skills

Area You Must Have
???? Python Pandas, NumPy, API requests, web scraping
???? Dash Dash/Plotly UI development (or Streamlit as fallback)
???? AI GPT-4/OpenAI API, LangChain prompt engineering
???? APIs SEC EDGAR, Alpaca, TradingView, Finviz, QuiverQuant
????? DevOps GitHub, cron jobs, logging, basic deployment
???? Finance Basic understanding of options trading and equity markets
? Bonus (Not Required but Great)
FinGPT experience

Knowledge of LEAP options strategy

Built trading dashboards or bots previously

Familiar with backtesting frameworks or paper trading

???? Timeline & Build Plan

Phase Deliverable Timeframe
???? Week 1–2 Dashboard wireframe + backend scaffolding 2 weeks
???? Week 3–5 Signal scraping + AI scoring engine (GPT + FinGPT) 2–3 weeks
???? Week 6–7 Conviction score calculator + LEAP analyzer module 2 weeks
???? Week 8–9 Alpaca integration (paper trading first) 2 weeks
???? Week 10 Alpha pattern matching + backtest logic 1 week
???? Week 11 Performance dashboard + trade log (Notion/Airtable) 1 week
???? Week 12 Final testing + go live (paper/live mode) 1 week
???? Go-Live Target: 12 weeks from start (3 months total)

???? How to Apply
Send the following:

1–2 minute video intro explaining your experience with trading bots, Dash apps, or AI projects

GitHub or project portfolio (must show Dash, trading, or data work)

Answer this:
???? “How would you design Athena to identify insider trades, score conviction, and place LEAP trades using Alpaca?”

PLEASE NOTE.
Applicants who contact me outside of this site will be deleted from the application process. Please do not call, email or invite my on social media like linked in.