Quantitative Research Intern (Saturday Only) Company : GreyOak Capital Intelligence Pvt Ltd Location : Mumbai – Fort (On-site, Saturdays only) Type : Internship / Part-time Duration : 3–6 months Stipend : ₹1,000–₹1,500 per Saturday (based on performance/skills) About GreyOak GreyOak Capital Intelligence is a premium equity research and capital intelligence platform built for investors who demand clarity over chaos. We engineer research frameworks — from proprietary scoring models to portfolio stress analytics — designed to help investors make smarter, trust-driven decisions. At GreyOak, we believe that Trust is the Real Alpha . Role: Quantitative Research Intern We are seeking a motivated intern to work directly with the founder on equity research model validation, backtesting, and risk analysis. This is a Saturday-only role at our Mumbai Fort office. Responsibilities Work with stock market datasets (prices, fundamentals, ownership structures). Validate and analyze outputs of GreyOak’s proprietary equity research frameworks. Conduct backtesting & performance analysis on model-driven strategies. Assist in developing insights on sector-wise trends, score distributions, and market signals. Perform QA checks on research reports (accuracy, formatting, numbers). Document findings and propose improvements. Requirements Graduate / Post-graduate student (Finance, Economics, or related field). Strong interest in equity markets & quantitative investing. Comfortable with Excel; familiarity with Python or data tools is a plus (not mandatory). Basic awareness of financial metrics (ROE, P/E, RSI, etc.) or willingness to learn. Analytical, detail-oriented, and dependable. Able to attend in-person every Saturday at Mumbai Fort for 3–6 months. What You’ll Gain Hands-on experience with advanced equity research models & risk analytics. Exposure to backtesting, quantitative validation, and market data workflows. Direct mentorship from the founder. A chance to grow with GreyOak as we build India’s most trusted capital intelligence brand. 📩 How to Apply : Send your CV and a short note on why you’re interested in quantitative research to contact@greyoakcapital.com.
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