Senior Quant Analyst: Statistical Edge Validation for Crypto Futures
1 day ago

Job description
About us:
AlfaQuant is a new data intelligence project under Alfa Technologies LLC. We are building a high-quality quantitative radar for crypto traders.
The Project:
I am looking for a professional Quant Researcher to identify and validate a statistical edge in Binance Futures (BTC, ETH, SOL).
Methodology & Data:
Scope:
High-granularity historical data (1m to 15m) including Open Interest and Funding Rates. Please specify your data source.
Validation: 8-month In-Sample / 4-month Out-of-Sample (Walk-Forward Analysis).
Execution Reality (Mandatory):
Backtest must include:
Binance Tier 0 fees (0.02% maker / 0.05% taker), 0.02% slippage, and funding rate impact.
Robustness & Regime Testing:
Performance breakdown for High/Low volatility and Extreme events.
Deliverables & IP:
Fully documented code (Python/Pandas).
Detailed PDF report (Sharpe, Max DD, Monthly Consistency).
Intellectual Property:
All research and code will be the exclusive property of Alfa Technologies LLC upon payment.
To apply:
Start your proposal with "ALFA-VALIDATION". Mention your experience with OI-based models and your data source.
Contract duration of 1 to 3 months.
Mandatory skills:
Python, Quantitative Analysis, Data Science, backtesting, binance api
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