Ratanlal Mahanta

Computational Finance | AI-Driven Quantitative Research

Projects Portfolio

Quant Trading Research Lab

The Quant Trading Research Lab (QFCM Lab(bootstrap)), active from Aug 2020 to Feb 2025, focused on developing, validating, and deploying cutting-edge quantitative models and trading strategies across multi-asset portfolios. Leveraging stochastic processes, Monte Carlo simulations, and machine learning, the lab specialized in market risk analytics, derivatives pricing, and dynamic hedging under realistic macroeconomic and stress scenarios. The research supported risk-adjusted alpha generation in alignment with regulatory frameworks.

Project Timeline (2020 – 2025)

Period Quant Trading Projects
2020Q3Development Credit Risk Models for trading book exposures
2020Q3COVID-19 stress testing applied to quant trading risk factors
2020Q3Interest rate scenario simulation for hedging strategies
2020Q4VaR & CVaR Monte Carlo engine for multi-asset trading portfolios
2021Q1Merton-KMV framework implementation for CDS pricing and hedging
2021Q2FRTB P&L Attribution Prototype integrating quant trading risk factors
2021Q3Cross-asset Monte Carlo pricing library (C++), Greeks calculation
2021Q4Volatility surface calibration for options trading strategies
2022Q1Integration of GHG emissions risk in trading portfolio scenario analysis
2022Q2CDO basket pricing with t-Copula Monte Carlo simulation
2022Q3Explainable AI-driven credit score
2022Q4Tail risk hedge simulation incorporating macroeconomic shocks
2023Q1Streamlit dashboard for climate risk and trading portfolio stress testing
2023Q2Proxy hedging framework for illiquid credit exposures
2023Q3Calibration of G2++ and Hull-White models for swaption trading
2023Q4LSM-based Bermudan swaption pricing and hedge testing
2024Q1ARIMA-driven CDS spread forecasting for dynamic trading signals
2024Q2Credit-market integrated VaR & CVaR risk simulator
2024Q33D simulation project (algorithmic trajectory optimization)
2024Q4Quant model risk dashboard and validation
2025Q1Real-time dynamic hedge efficiency analyzer with scenario input integration
Research & Technology Breakthroughs