AI Trading System Architect

3 days ago

jaipur, India beBeeQuantitative Full time

Senior Quant Job SummaryWe are seeking a highly skilled Senior Quant to design and implement an AI-driven options trading system focused on SPX and ES 0DTE & 1DTE.Main ResponsibilitiesArchitect and implement a Smart AI trading bot that trades ES futures and options overnight/pre-market, trades SPX 0DTE and 1DTE options during regular hours, uses multiple LLMs, where one LLM proposes strategies, entries, exits, and risk parameters, another critiques and challenges those strategies before execution, incorporates Technical Analysis, sentiment, volatility, macro events, and cross-asset flows.Design a multi-LLM "council" where a "Strategy LLM" generates trade ideas, entries/exits, size, and risk parameters, "Critic LLMs" stress-test, challenge assumptions, and flag risks, and implement workflows: proposal → critique → refinement → final decision, with deterministic risk rules as guardrails.Build 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).Implement multiple entries and exits: scaling into positions at predefined technical/volatility levels, layered profit targets and stop levels to improve average prices, build a risk engine to set daily Max Loss and Max Profit as a % of portfolio, stop trading once limits are hit, control max exposure, number of positions, and per-trade risk, support user-selectable: bias: Bullish only / Bearish only / Both ways, profiles: Conservative / Moderate / Aggressive.Track and integrate major events, including FOMC, jobs data/NFP, CPI/PPI, GDP, etc., earnings calendar (especially large index components), important global geopolitical news impacting risk sentiment, use these events to adjust or pause trading around high-risk windows, feed event context into LLMs for better decision-making, monitor cross-asset markets that drive SPX/ES: oil, copper, gold, silver, US Dollar (DXY/FX), detect confirmation/divergence patterns between these assets and ES/SPX, and reflect that in trade bias (risk-on vs risk-off), aggressiveness of entries/exits and position sizing.Integrate with our commercial-grade real-time data feed for ES, SPX, their options, and key cross-asset instruments, build a robust execution layer using TastyTrade APIs: handle order placement, modifications, cancels, fills, and error conditions, manage slippage, partial fills, and retry logic, architect a modular system: data ingestion → TA & signals → LLM council → risk → execution → UI/monitoring.

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