Quantitative Trading Systems Developer

5 days ago

guntur, India beBeeAI Full time

About UsWe are building a next-generation AI-driven options trading system.Our goal is to systematically capture intraday option moves by combining technical analysis, multi-LLM council architecture, real-time commercial-grade data, cross-asset and macro/event awareness, and automated execution.Key Responsibilities:Architect and implement an AI trading bot that trades ES futures and options overnight/pre-market (approx. 6:00 PM–9:30 AM EST) and SPX 0DTE and 1DTE options during regular hours.Design a multi-LLM 'council' where strategy LLMs generate trade ideas, entries/exits, size, and risk parameters, and critic LLMs stress-test, challenge assumptions, and flag risks.Implement workflows for proposal – critique – refinement – final decision, with deterministic risk rules as guardrails.Technical Analysis & Signal Generation:Build TA-based signals using multi-timeframe trend/momentum indicators, volatility/range tools, and market structure.Perform detailed ES trend analysis from 6 PM EST (prior evening) to 9:30 AM EST: direction, strength, volatility, and key levels.Use that analysis to take ES trades between 6 PM and 9:30 AM EST, decide whether to exit or convert ES positions into SPX 0DTE/1DTE trades after ~10 AM EST.Trade Management, Scaling & Risk: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.Macro Events, News & Cross-Asset Context:Track and integrate major events: FOMC, jobs data/NFP, CPI/PPI, GDP, etc., earnings calendar, important global geopolitical news impacting risk sentiment.Adjust or pause trading around high-risk windows, feed event context into LLMs for better decision-making.Data, Execution & System Design:Integrate with 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.Required Skills & Experience:Strong Technical Analysis skills, comfortable with multi-timeframe chart analysis, indicators, and price action.4+ years in quantitative/algo trading or systematic options/futures development, strong programming in Python.Familiarity with automated trading systems, options/futures trading, intraday or short-dated strategies, solid understanding of options greeks, IV, skew, term structure, ES and SPX microstructure.Benefits:Excellent base salary, commensurate with experience, attractive % of quarterly trading profits based on performance.],

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