Python Quant Developer — Crypto Backtesting / Algorithmic Trading Research

Python Quant Developer — Crypto Backtesting / Algorithmic Trading Research. I am looking for an experienced Python developer with quantitative trading/backtesting experience to implement an existing detailed technical specification. (Fixed price open to negotiation). Phase 1 is historical research only, not live trading. The project involves: historical cryptocurrency OHLCV data KuCoin market data two predefined systematic trading strategies signal generation and rejection logging position sizing/risk simulation fees, slippage and funding assumptions backtesting out-of-sample validation performance analysis including expectancy, drawdown and MAE/MFE The strategy specification already exists. I need someone to implement it faithfully rather than design a new trading strategy. Required experience: Python pandas / NumPy quantitative/systematic trading backtesting time-series data avoiding look-ahead and survivorship bias ideally crypto futures/exchange APIs Please include examples of previous trading/backtesting systems you have built.