AI Expert for Advanced Options Trading System

21 hours ago

thrissur, India beBeeQuant Full time

Key Roles and ResponsibilitiesAs a Senior Quant / AI Trading Engineer, you will be responsible for designing and building an AI-driven options trading system focused on SPX and ES 0DTE & 1DTE.The incumbent will lead the architecting and implementation of a Smart AI trading bot that trades ES futures and options overnight/pre-market and SPX 0DTE and 1DTE options during regular hours.Design a multi-LLM 'council' where one LLM proposes strategies, entries, exits, and risk parameters, and one or more LLMs critique and challenge those strategies before execution.Built Technical Analysis-based signals using multiple-timeframe trend/momentum indicators, volatility/range tools, and market structure.Implement multiple entries and exits, scaling into positions at predefined technical/volatility levels, layered profit targets and stop levels to improve average prices, and a risk engine to set daily Max Loss and Max Profit as a % of portfolio.Track and integrate major events, including FOMC, jobs data/NFP, CPI/PPI, GDP, earnings calendar, and important global geopolitical news impacting risk sentiment.Integrate with commercial-grade real-time data feed for ES, SPX, their options, and key cross-asset instruments, and build a robust execution layer using APIs.Required Skills & ExperienceStrong, practical Technical Analysis skills with 4+ years in quantitative/algo trading or systematic options/futures development, strong programming in Python, hands-on experience with automated trading systems using real-time data, options and/or futures trading, intraday or short-dated strategies, solid understanding of options greeks, IV, skew, and term structure, and risk management and drawdown control.Experience using or integrating LLMs, familiarity with multi-agent / council-style LLM patterns, ability to design prompts, context pipelines, and guardrails for trading decisions.Familiarity with broker APIs, real-time data feeds, and strong engineering practices: testing, logging, observability, deployment.

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