Quantitative Developer

Job Title: Python Backend Developer - FastAPI, PostgreSQL, Pattern Recognition

Location: Remote / Hybrid

Type: Full-time

Experience: 3 to 7 Years

Compensation: USDT only | Based on skill and performance

About Us:

We are a cutting-edge fintech startup building an Al-powered trading intelligence platform that

integrates technical analysis, machine learning, and real-time data processing. Our systems analyze

financial markets using custom algorithms to detect patterns, backtest strategies, and deploy

automated insights. We're seeking a skilled Python Backend Developer experienced in FastAPI,

PostgreSQL, pattern recognition, and financial data workflows.

Key Responsibilities

• Implement detection systems for chart patterns, candlestick patterns, and technical indicators (e.g.,RSI, MACD, EMA)
• Build and scale high-performance REST APIs using FastAPI for real-time analytics and model communication
• Develop semi-automated pipelines to label financial datasets for supervised/unsupervised ML models
• Implement and maintain backtesting engines for trading strategies using Python and custom
• simulation logic
• Design and maintain efficient PostgreSQL schemas for storing candle data, trades, indicators, and model metadata
• (Optional) Contribute to frontend integration using Next.js/React for analytics dashboards and visualizations

Key Requirements

• Python (3-7 years): Strong programming fundamentals, algorithmic thinking, and deep Python ecosystem knowledge
• FastAPI: Proven experience building scalable REST APIs
• PostgreSQL: Schema design, indexing, complex queries, and performance optimization
• Pattern Recognition: Experience in chart/candlestick detection, TA-Lib, rule-based or ML-based identification systems
• Technical Indicators: Familiarity with RSI, Bollinger Bands, Moving Averages, and other common indicators
• Backtesting Frameworks: Hands-on experience with custom backtesting engines or libraries like Backtrader, PyAlgoTrade
• Data Handling: Proficiency in NumPy, Pandas, and dataset preprocessing/labeling techniques
• Version Control: Git/GitHub - comfortable with collaborative workflows

Bonus Skills

• Experience in building dashboards with Next.js / React
• Familiarity with Docker, Celery, Redis, Plotly, or TradingView Charting Library
• Previous work with financial datasets or real-world trading systems
• Exposure to Al/ML model training, SHAP/LIME explainability tools, or reinforcement learning strategies

Ideal Candidate

• Passionate about financial markets and algorithmic trading systems
• Thrives in fast-paced, iterative development environments
• Strong debugging, data validation, and model accuracy improvement skills
• Collaborative mindset - able to work closely with quants, frontend developers, and ML engineers

What You'll Get

• Opportunity to work on next-gen fintech systems with real trading applications
• Exposure to advanced AI/ML models and live market environments
• Competitive salary + performance-based bonuses
• Flexible working hours in a remote-first team