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Building Desk2Quant
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AIM-IT4/README.md

Hi there, I'm Amit Kumar Jha 👋

Desk2Quant Platform Topmate Mentor LinkedIn Email arXiv CRAN

Pull Requests GitHub Followers XVA Engine Stars

Quantitative Analyst (Authorized Officer) @ UBS | Ex-Reserve Bank of India | Founder @ Desk2Quant
Front-Office XVA & Risk Quant • Top 1% Topmate Creator (1,460+ Sessions) • Derivatives Pricing • Stochastic Calculus • Deep BSDEs


👨‍💻 About Me

  • 🚀 Founder @ Desk2Quant: Building the premier interactive Quantitative Finance platform — democratizing derivatives pricing, stochastic calculus labs, and front-office quant interview preparation.
  • 🏆 Top 1% Topmate Mentor (1,460+ Sessions): Completed over 1,460+ 1-on-1 mentorship & consulting bookings on Topmate (People's Choice Award & Community Care Badge holder), guiding software engineers, physicists, and quants worldwide.
  • 🏦 Quant @ UBS (Mumbai): 3+ years optimizing counterparty credit risk (CCR) models, exposure profiling (PFE/EPE/EE), Repo VaR IMA regulatory frameworks, and risk factor backtesting across Equities, FX, Rates, and Credit.
  • 🏛️ Ex-Research Analyst @ Reserve Bank of India: Modeled market microstructure inefficiencies on 3 TB+ tick data for central bank policy research and intraday signal analysis.
  • 🎓 Academic Excellence: M.Sc. in Digital Humanities (Computational Economics & Quantitative Finance Track) from IIT Jodhpur (CGPA 8.8/10, GATE AIR 180) & B.Sc. (Hons.) in Physics from Jamia Millia Islamia (CGPA 8.5/10, IIT JAM AIR 1160).
  • 🔬 Published Researcher: Author of preprints on market microstructure via stochastic thermodynamics (arXiv:2512.03123), short-rate dynamics (arXiv:2506.06317), and SSRN banking econometrics.
  • 🛠️ Engineering & Tooling: Production Python, C++, kdb+/Q, R (CRAN Package Author), Databricks/Spark processing 1B+ rows, and AST/LLM Developer Productivity agents.

🚀 Featured Platforms & Novel Quant Projects

Thermodynamic-BSDE-XVA-Engine (New Novel Project)

  • Tech: Python, PyTorch, SciPy, NumPy, Matplotlib
  • Mathematical Novelty: Solves high-dimensional nonlinear Backward Stochastic Differential Equations (BSDEs) for CVA, DVA, FVA, MVA, KVA under collateralized netting. Integrates stochastic thermodynamics entropy production to verify no-arbitrage bounds and performs KL-divergence optimal transport volatility surface repair.
  • Live App: desk2quant.vercel.app | Mentorship: topmate.io/amit_kumar_jha
  • Impact: 1,460+ mentorship bookings • Interactive Quant Labs • Derivatives Pricing
  • Next-gen interactive platform empowering engineers and quants to master options Greeks, stochastic calculus labs, XVA valuation engines, and high-frequency market microstructure.
  • Tech: Python, QuantLib, NumPy, SciPy
  • Comprehensive valuation engine for CVA, DVA, FVA, MVA, KVA, XVA Sensitivity Greeks, and Wrong-Way Risk (WWR) under Monte Carlo simulation. Includes collateralized exposure profiling and netting set dynamics.

📦 CustomDerivative (CRAN Package)

  • Tech: R, CRAN, C++
  • Production-grade R package on CRAN for pricing exotic derivatives. Implements 15+ numerical methods, Monte Carlo path generation, and finite-difference PDE schemes.
  • Tech: Q/kdb+, Tick Architecture
  • Ultra-low-latency tick data engine analyzing 10M+ quotes/trades. Calculates intraday bid-ask spread dynamics, market maker inventory risk, and high-frequency order flow imbalance.

🔬 Publications & Working Papers

Title Track / Venue Abstract / Link
A Stochastic Thermodynamics Approach to Price Impact and Arbitrage Market Microstructure arXiv:2512.03123Physics-based framework for market microstructure using entropy production and fluctuation theorems.
A Sinusoidal Hull-White Model for Interest Rate Dynamics Interest Rate Modeling arXiv:2506.06317Extended Hull-White model with sinusoidal mean-reversion, calibrated to 30 years of US Treasury data.
Digitization Impact on Indian Banking Assets (2009-19) Computational Econometrics SSRN: 4164875Fixed-effects panel regression & Lerner index estimation on 90% of Indian banking assets.

🛠️ Technical Stack & Domain Expertise

┌──────────────────────────────┬─────────────────────────────────────────────────────────────┐
│ Category                     │ Tools & Frameworks                                          │
├──────────────────────────────┼─────────────────────────────────────────────────────────────┤
│ Quantitative Finance         │ CVA/DVA/FVA/MVA/KVA, PFE/EPE/EE, SA-CCR, Repo VaR IMA,       │
│                              │ ISDA SIMM, Wrong-Way Risk, Monte Carlo, Deep BSDEs, PDEs    │
├──────────────────────────────┼─────────────────────────────────────────────────────────────┤
│ Programming Languages        │ Python, C++, R, kdb+/Q, SQL, LaTeX, Bash                    │
├──────────────────────────────┼─────────────────────────────────────────────────────────────┤
│ Mentorship & Mentorship Stack│ Topmate (Top 1% Creator, 1,460+ Sessions), Desk2Quant Platform│
├──────────────────────────────┼─────────────────────────────────────────────────────────────┤
│ Libraries & Engines          │ PyTorch, QuantLib, PySpark, NumPy, SciPy, Pandas, Numba     │
└──────────────────────────────┴─────────────────────────────────────────────────────────────┘

📊 GitHub Activity & Contributions

GitHub Streak
GitHub Activity Graph


📫 Connect & Mentorship


“In mathematics you don't understand things. You just get used to them.” — John von Neumann

Pinned Loading

  1. QuantitativeDerivativeModels QuantitativeDerivativeModels Public

    Jupyter Notebook 48 5

  2. StochasticModelsAssetPricing StochasticModelsAssetPricing Public

    Python 19 3

  3. MonteCarlo-MeanReversionTrading MonteCarlo-MeanReversionTrading Public

    Python 18 3

  4. Python-For-Quants Python-For-Quants Public

    Python 19 2

  5. InterestRateModelsCpp InterestRateModelsCpp Public

    C++ 23 5

  6. FXQuantPricing-Cpp FXQuantPricing-Cpp Public

    C++ 8 2