Quantitative ML Engineer

ML Engineer — Quantitative Equity Platform

Part -Time(15-20hrs)/Week | Remote/Mumbai | ₹40k-55k/Month + Performance Bonuses up to ₹1 Lac(on live Sharpe > 1.5)

About GreyOak Capital Intelligence

We're building an institutional-grade AI platform for equity intelligence in Indian markets. Our system combines quantitative research, machine learning, and risk management to deliver probabilistic forecasts across NSE Universe and 11 sectors.

This is not a chatbot or recommendation engine. We're building a production trading system that processes 10 years of EOD data, generates sector-adaptive forecasts, and manages real capital with SEBI compliance.

The Role

We need a ML Engineer with quant finance experience to own our prediction engine end-to-end. You'll be responsible for model architecture, training pipelines, production deployment, performance monitoring, and continuous improvement of a live trading system.

This is a founding team role — you'll have significant equity and autonomy to shape our ML strategy.

What You'll Own

Design and train predictive models for equity directional forecasting

Build and maintain feature engineering pipelines for financial time-series data

Implement walk-forward validation, regime-aware backtesting, and risk-adjusted metrics

Deploy models to production with monitoring, drift detection, and auto-retraining

Collaborate on risk management frameworks (position sizing, stop-loss, portfolio constraints)

Work with regulators/compliance on model auditability and SEBI alignment

What We're Looking For

Required:

5 years in ML, with 2+ years in trading/finance/quant research

Built and deployed production forecasting or trading systems (not research-only)

Deep expertise in time-series modeling and financial feature engineering

Strong Python (Pandas, NumPy, Scikit-learn, LightGBM/XGBoost)

Experience with walk-forward CV, purged cross-validation, and label leakage prevention

Production ML ops (Docker, AWS, MLflow/DVC, monitoring)

Understanding of Indian equity markets (NSE/BSE) and SEBI regulations (or willingness to learn fast)

Bonus:

Prior work at quant hedge funds, prop trading firms, or fintech (Upstox, Zerodha, Groww, etc.)

Published research in quantitative finance or algorithmic trading

Experience with regime detection, volatility modeling, or risk-adjusted performance metrics

Familiarity with order execution, market microstructure, or portfolio optimization

Red Flags (We Won't Hire):

• Only Kaggle/academic ML experience with no production systems
• No understanding of financial markets or trading mechanics
• Can't explain overfitting, lookahead bias, or data snooping in finance context
• Never dealt with real-time data pipelines or model monitoring

Why Join GreyOak

✅ Own the ML Strategy — You're not just implementing; you're designing the approach

✅ Real Impact — Your models will manage real capital and impact real P&L

Compensation

Base: ₹40-55k/Monthly (depending on experience)

Performance bonuses tied to model accuracy

Full remote flexibility

To Apply

Email: tech@greyoakcapital.com