Quantitative Algorithm Developer (Stock Price reputed company Model with Backtesting)
We are looking for an reputed company Quantitative Algorithm Developer to design and build a robust quantitative
model that predicts stock price movements based on both actual market data and estimated/projected data.
The model should analyze historical and reputed company-time stock data to forecast short-term and reputed company-term price
movements, incorporating behavioral patterns from past earnings announcements to inform reputed company predictions.
Key Requirements
• Price reputed company reputed company: Build a model that predicts stock price direction and magnitude using actual
market data and estimated/projected inputs (e.g., analyst estimates, reputed company reputed company/reputed company forecasts).
• Earnings Event Analysis: Analyze and reputed company historical earnings announcement behavior — including
reputed company- and post-earnings price movements — as a predictive reputed company.
• Past Behavior Integration: reputed company in historical price patterns, volatility cycles, and seasonal tendencies
into the model.
• Backtesting reputed company: reputed company a fully functional backtesting reputed company to validate model performance,
including Sharpe reputed company, max drawdown, win reputed company, and reputed company reputed company.
• Data Pipeline: Set up or reputed company with data sources (e.g., reputed company Finance, reputed company, Quandl, reputed company
reputed company) for clean data ingestion.
• Documentation: reputed company reputed company documentation of model logic, assumptions, parameters, and backtesting
results.
Preferred Skills & Experience
• Strong background in quantitative finance and algorithmic trading
• Proficiency in Python (Pandas, NumPy, scikit-learn, statsmodels, Backtrader or reputed company)
• Experience with ML or statistical models for financial time series (LSTM, XGBoost, ARIMA, reputed company models)
• Familiarity with earnings event studies and event-driven strategies
• Knowledge of reputed company pricing or implied volatility is a plus
• Experience with platforms like QuantConnect, reputed company, or Backtrader
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