Senior Quantitative Analyst/Engineer

1 week ago

anand, India beBeeTrading Full time

AI Trading EngineerWe are building a next-generation trading system focused on options and futures. Our goal is to systematically capture intraday market moves by combining technical analysis, multi-LLM architecture, real-time data, cross-asset awareness, and automated execution.We are looking for a skilled AI Trading Engineer to design and build this system end-to-end. You will architect and implement a smart trading bot that uses multiple LLMs to propose strategies, entries, exits, and risk parameters, and critiques and challenges those strategies before execution.You will analyze ES from 6 PM EST (prior evening) through 9:30 AM EST, trade ES in that window, then exit or convert ES positions into SPX after ~10:00 AM EST once opening volatility settles.You will trade via APIs, strictly following defined risk parameters.The key responsibilities of this role include:Multi-LLM Strategy & Critic EngineDesign a multi-LLM 'council' where a 'Strategy LLM' generates trade ideas, entries/exits, size, and risk parameters, and 'Critic LLMs' stress-test, challenge assumptions, and flag risks.Implement workflows: proposal → critique → refinement → final decision, with deterministic risk rules as guardrails.Technical Analysis & Signal GenerationBuil TA-based signals using multi-timeframe trend/momentum indicators, volatility/range tools, and market structure.Analyze ES trend from 6 PM EST (prior evening) to 9:30 AM EST: direction, strength, volatility, and key levels.Trade Management, Scaling & RiskImplement 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, control max exposure, number of positions, and per-trade risk.Macro Events, News & Cross-Asset ContextTrack and integrate major events, including FOMC, jobs data/NFP, CPI/PPI, GDP, etc., and use these events to adjust or pause trading around high-risk windows.Feed event context into LLMs for better decision-making.Data, Execution & System DesignIntegrate with commercial-grade real-time data feed for ES, SPX, their options, and key cross-asset instruments.Build a robust execution layer using APIs: handle order placement, modifications, cancels, fills, and error conditions.Manage slippage, partial fills, and retry logic.RequirementsStrong practical Technical Analysis skills.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.BenefitsExcellent base salary, attractive % of quarterly trading profits based on performance, potential for increased profit share as the system scales.

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