SENIOR QUANT (LEAD LEVEL – L4), RSRL

Ratanlal Mahanta

Quantitative Research • Model Validation • AI Finance

Experienced Quantitative Researcher with 13+ years in computational finance, risk modelling, AI-driven solutions, IRRBB, FRTB, CVA, derivatives pricing, tail risk hedging, and trading system design.

13+
YEARS EXPERIENCE
IRRBB / FRTB / CVA / TAIL RISK HEDGING
CORE DOMAINS
C++ • Python • R
TECH STACK
350+ - CITATIONS • 9+ H Index
RESEARCH
“Model risk is hidden risk.” — Ratanlal Mahanta

Professional Overview

Research Visual Analytics

Citation growth, research concentration, and collaboration analytics.

Citation Growth Timeline

Simulated growth using provided profile trend (2015–2026).

Research Domain Concentration

Cross-domain influence across Quant Finance, Risk, AI, and Systems.

Research Collaboration Network

Viswa Viswanathan
Computing & Decision Sciences
Edina Berlinger
Quant Finance
Sergio Scandizzo
EIB • Risk Research
Dániel Havran
Capital Markets
Barbara Dömötör
Financial Data Science
Radia Johnson
AI & Life Sciences
Atmajitsinh Gohil
ML Research
Gergely Daróczi
Data Science
Chitro Majumdar
Mathematician
Sudarsan Padhy
Mathematician
Suresh Kumar Gorakala
Data Science
Eryk Lewinson
Data Science

Research Influence Radar

Relative strength across modelling, validation, AI, regulation and systems engineering.

Recent Publications

A Large Language Model for Corporate Credit Scoring

C Majumdar, S Scandizzo, R Mahanta, A Mandal…

International Risk Management Conference, Milan 2024 · arXiv:2511.02593 · 2025

A Structural Approach to Pricing Credit Default Swaps

R Mahanta

Institute of Mathematics and Applications, Bhubaneswar . SSRN 5783323 · 2025

AI-Driven CVA and Market Risk Modelling: A Hybrid Deep Learning Framework for Pricing, Exposure Simulation, and Stress Testing

R Mahanta

Odisha AI Symposium (OAIS) . SSRN 6135009 · 2026

Systemic Risk and Stress Testing: Derivatives, XVA, and Endogenous Liquidity Amplification

R Mahanta

. SSRN 6142810 · 2026

Nonlinear Stochastic Differential Equations with Applications to Derivative Pricing and RegTech

R Mahanta

ICAAA & Odisha Mathematical Society . SSRN 6171348 · 2026

Making Facts by Design: Data, Models, and the Authority of Numbers in Contemporary Institutions

R Mahanta

IIM Calcutta · 2026

CRYPTOCURRENCY TRADING

B Vaida, R Mahanta

Packt Publishing Ltd · 2023

Hands-On Financial Trading with Python

J Pik, S Ghosh, R Mahanta

Packt Publishing Ltd · 2021

Python Algorithmic Trading Cookbook

P Dagade, R Mahanta

Packt Publishing Ltd · 2020

Python for Finance Cookbook

E Lewinson, R Mahanta

Packt Publishing Ltd · 2020

Learn Algorithmic Trading

S Donadio, S Ghosh, R Mahanta

Packt Publishing Ltd · 2019

Machine Learning with R Cookbook

AS Bhatia, CDC Yu-Wei, R Mahanta

Packt Publishing Ltd · 2018

R: Recipes for Analysis, Visualization and Machine Learning

V Viswanathan, S Viswanathan, A Gohil, R Mahanta

Packt Publishing Ltd · 2017

Building a Recommendation System with R

SK Gorakala, M Usuelli, R Mahanta

Packt Publishing Ltd · 2016

Mastering Python for Data Science

S Madhavan, R Mahanta

Packt Publishing Ltd · 2015

Machine Learning with R Cookbook

CDC Yu-Wei, R Mahanta

Packt Publishing Ltd · 2015

Mastering R for Quantitative Finance

E Berlinger, F IIIes, R Mahanta

Packt Publishing Ltd · 2015

Mastering Scientific Computing with R

P Gerrard, RM Johnson, R Mahanta

Packt Publishing Ltd · 2015

Quant Journey Timeline

Major milestones across research and engineering progression.

Core Quant Domains

📉

Model Validation

🧮

Stochastic Modeling

📊

Risk Analytics

🤖

AI Integration

Experience Timeline

2019 – 2026
RsRL Logo

RsRL

Senior Quant (Lead Level – L4)

  • Led enterprise model validation across FRTB SA, IRRBB, CVA, and derivatives pricing.
  • Built Monte Carlo pricing frameworks and risk analytics engines for exotic products.
  • Developed audit-ready quantitative validation pipelines and governance documentation.
  • Designed reusable Python-based validation platforms aligned with regulatory expectations.
2019
Cognizant Logo

Cognizant

Manager

  • Managed quant analytics delivery for financial clients focusing on risk and valuation models.
  • Coordinated cross-functional teams across data engineering and quantitative research.
  • Implemented analytics automation and reporting frameworks.
2014 – 2018
GPSK

GPSK

Senior Quant (Head of Business)

  • Designed quantitative trading strategies and infrastructure for systematic trading.
  • Led business growth through data-driven strategy deployment and risk control design.
  • Built stochastic modelling engines for pricing and portfolio analytics.
2012 – 2013
Algotech

Algotech

Quantitative Analyst

  • Developed quantitative models for algorithmic trading and signal generation.
  • Conducted statistical backtesting and optimization of trading strategies.
  • Implemented risk controls and performance analytics dashboards.
2012
Mirae Asset

Mirae Asset

Quantitative Analyst Intern

  • Supported research in equity analytics and quantitative investment strategies.
  • Worked on data-driven portfolio evaluation and risk metrics analysis.
2005 – 2010
IMA

Institute of Mathematics & Applications

Computational Finance Research

  • Specialized in derivative pricing, stochastic processes, and numerical methods.
  • Applied machine learning techniques to financial modelling problems.
  • Worked on simulation-based quantitative research projects.

RsRL Experience (2019–2025)

Derivative Pricing | May 2025 – Aug 2025

  • Executed full-scope model validations with reproducible Python code and audit-ready reports.
  • Challenged modelling assumptions and statistical tests across validation stages.
  • Delivered technical documentation aligned with quantitative best practices.

FRTB SA & Repo Pricing | May 2025 – Aug 2025

  • Built modular FRTB SBA platform aligned with Basel III BCBS d457.
  • Developed repo pricing framework covering collateral, haircut and funding risks.

IRRBB & FTP |Oct 2024 – Mar 2025

  • Developed IRRBB balance-sheet simulation for EaR and EVE under regulatory scenarios.
  • Developed behavioural models for NMDs, prepayment, and early redemption risks.
  • Enhanced FTP curve construction and liquidity premium calibration.

CVA | Oct 2024 – Dec 2024

  • Computed CVA using Hull–White one-factor model and Monte Carlo simulations.

FRTB SA | May 2022 – Oct 2023

  • Implemented FRTB SA frameworks across FX, IR, commodities.
  • Managed model governance, documentation, and tail-risk hedging analysis.

Model Audit & Review | 2021

  • Validated VaR/ES models and governance policies.
  • Reviewed tail risk hedging frameworks independently.

Derivative Pricing | Aug 2019 – Mar 2021

  • Validated 18 FX and IR derivative products (vanilla & exotics).
  • Used SLV and HW2F models for MtM valuation and Greeks.
  • Finite difference Delta/Vega sensitivity analysis.

Model Validation | Jul 2014 – Jul 2015

  • Corporate default modelling using Merton distance-to-default approach.
  • Validation of pricing and hedging models for prudent risk management.

Quant Analytics Snapshot

Domain Distribution

Model Output Growth Delivered

HFT & Quant Trading Analytics

Strategy Performance (PnL Curve)

Execution Latency Order %

Strategy Distribution Analytics

Strategy Allocation

Risk Contribution %

Conference / Talks

Invited talks, symposium presentations, and institutional conferences across AI, quantitative finance and risk engineering.

AI IMPACT SUMMIT

Industry• AI & Quantitative Modelling

Feb-2026

Making Facts by Design: Data, Models, and the Authority of Numbers

Paper Presentation • Institutional Analytics

Feb-2026

International Conference on “Advances in Analysis and Its Applications” & 53rd Annual Conference of the Odisha Mathematical Society (OMS)

Paper Presentation • Nonlinear Stochastic Differential Equations with Applications to Derivative Pricing and RegTech

Jan-2026

AI Conclave Bengaluru — Agentic AI & Data Edition (AWS)

Agentic Systems • Financial AI

Jan-2026

exSPLOre 2026

Industry • Hybrid Deep Learning Framework

Jan-2026

Odisha Regional AI IMPACT SUMMIT

Industry• AI & Quantitative Modelling

Dec-2025

Odisha AI Symposium 2025 — AI-Driven CVA & Market Risk Modelling

Paper • Hybrid Deep Learning Framework

Dec-2025

Odisha AI Symposium 2025 — Jury Member

Keynote • AI

Dec-2025

Mathematics Education Symposium

Industry

Nov-2025

Odisha AI Conference 2025

Quant Research • Risk Management

Oct-2025

India FIX Conference — Mumbai

Market Infrastructure & Quant Trading

Apr-2025

Odisha AI Conference 2024

Keynote • Financial LLMs

Oct-2024

IIM Calcutta - NYU Stern Research Conference 2024

Industry • Institutional Analytics

Oct-2024

A Large Language Model for Corporate Credit Scoring — IRMC, Milan

Research Presentation • AI for Credit Risk

Jun-2024

Delta VEGA RISK

Invited talks • Market Risk

Jan-2024

Technology Partners

Cloud infrastructure and vector AI ecosystem partners enabling scalable quantitative research and intelligent analytics.

Cloud Providers

Google Cloud Platform

Scalable AI infrastructure supporting research workloads, model deployment and distributed quantitative computation.

Amazon Web Services

Enterprise cloud stack used for market analytics, simulation pipelines and AI-driven research systems.

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