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Senior AI / ML Engineer – Trading Strategy Optimization

Senior AI / ML Engineer – Trading Strategy Optimization

OPIN SolutionsMumbai, IN
9 days ago
Job description

About the Project

We’re partnering with a U.S.-based trading firm running three profitable Nasdaq-100 (NQ) futures strategies . Your job :

Build AI models that decide when to trade and which strategy to deploy — backed by real capital, not paper simulations.

This isn’t a research project. Your models will go live after validation.

What You’ll Build

Binary Classification Model : Trade vs No-Trade (Target : 65%+ accuracy)

Multi-Class Model : Strategy A / B / C selection

Market Regime Detection : Identify which strategies thrive under what conditions

Daily Prediction Pipeline : Fully automated model deployment

Walk-Forward Validation : 2021–2025 rolling testing — no leakage, no shortcuts

What Sets This Role Apart

  • Live trade logs, real strategy data (not simulations)
  • Models control real-money trades
  • Must beat baseline ("always trade Strategy A")
  • Advanced walk-forward testing and lookback window optimization required
  • Real-time market data from VIX, NDX, SPX, FOMC days, CPI, etc.

Tech Requirements (Non-Negotiable)

  • Python (pandas, scikit-learn, XGBoost / LightGBM)
  • Time series modeling, regime detection, overfitting prevention
  • Strong grasp of walk-forward validation vs k-fold
  • Interpretability : You must explain why the model makes decisions
  • API / data integration : Yahoo Finance, FRED, macro & sentiment indicators
  • Versioning : Git workflow for all code & models

    • Timeline & Milestones

    Week 1 : Data ingestion + regime analysis

    Week 2 : Model building (binary + multi-class)

    Week 3 : Walk-forward validation + optimization

    Week 4 : Deployment script + full documentation

    Success Criteria

    65%+ accuracy (both models)

    60%+ Sharpe ratio improvement

    No data leakage

    Regime-aware insights

    Daily prediction automation

    Ideal Candidate

  • 8+ years in ML / AI with proven financial trading experience
  • Strong portfolio of trading optimization projects
  • Deep understanding of market regimes , behavioral biases, and risk metrics
  • Can defend your code, logic, and decisions in technical interviews

    • How to Apply

    Send us :

  • Your trading ML portfolio (must show strategy optimization)
  • Your walk-forward validation approach
  • A previous client reference for a similar ML trading project
  • How you'll prevent overfitting in this specific use case

    • Please Don’t Apply If :

  • You only have general ML experience (no trading)
  • You’ve only worked on banking / fintech platforms, not predictive models
  • You can’t explain regime detection or validation integrity

    • Join us at OPIN Solutions to build AI that directly impacts real trades.

    This project has high visibility and could lead to an ongoing optimization role with the client.

    Hiring #AI #MachineLearning #QuantTrading #AlgoTrading #FinancialML #NQFutures #TradingJobsIndia #RemoteWork #OPINSolutions

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