Quantitative Trading Architect

4 days ago

mount, India beBeeRiskManagement Full time

Job OverviewWe are developing a cutting-edge AI-driven options trading system focused on SPX and ES 0DTE & 1DTE.The goal is to systematically capture intraday option moves by combining:Deep Technical Analysis (TA)A multi-LLM council architecture (strategy + critic, similar to llm-council)Real-time commercial-grade dataCross-asset and macro/event awarenessAutomated execution via TastyTrade APIsKey ResponsibilitiesDesign a multi-LLM council where:A strategy LLM generates trade ideas, entries/exits, size, and risk parametersCritic LLMs stress-test, challenge assumptions, and flag risksImplement workflows: proposal → critique → refinement → final decision, with deterministic risk rules as guardrails.Technical Analysis & Signal GenerationBuild TA-based signals using:Multi-timeframe trend/momentum indicators (EMAs/SMAs, VWAP, MACD, RSI, ADX, etc.)Volatility/range tools (ATR, gaps, opening range, realized vs. implied vol)Market structure (support/resistance, liquidity zones, prior day high/low, overnight levels)Perform detailed ES trend analysis from 6 PM EST (prior evening) to 9:30 AM EST:Direction, strength, volatility, and key levelsUse that analysis to:Take ES trades between 6 PM and 9:30 AM ESTDecide whether to exit or convert ES positions into SPX 0DTE/1DTE trades after ~10 AM EST.Trade Management & Risk ControlImplement multiple entries and exits:Scaling into positions at predefined technical/volatility levelsLayered profit targets and stop levels to improve average pricesBuild a risk engine to:Set daily Max Loss and Max Profit as a % of portfolioStop trading once limits are hitControl max exposure, number of positions, and per-trade riskSupport user-selectable:Bias: Bullish only / Bearish only / Both waysProfiles: Conservative / Moderate / Aggressive (affects size, frequency, and risk per trade).

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