About Projects Experience Contact

QUANT RESEARCHER & ML ENGINEER

Hi, I'm Gaurav Kumar

Building systematic strategies across Fixed Income, Equities & Derivatives with a first-principles, scalable approach.

0+ Years in Quant
0M USD AUM Managed
0 Degrees

About Me

I'm a dedicated Quant Researcher and Machine Learning Engineer based in Bangalore, with a history of meeting company goals through consistent and organized practices.

Skilled in Financial Engineering, Machine Learning, Python, SQL, and Big Data, I adopt a scalable, first-principles approach to deliver efficient results under time constraints and fast-paced environments.

I'm well-versed in multiple financial asset classes including Fixed Income, Equities, and Derivatives. Currently working at State Street Investment Management on systematic active Fixed Income strategies.

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Location Bangalore, India
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Education MFE, WorldQuant University
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Focus Fixed Income & Factor Models
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Certifications CFA L1 ยท FRM P1 ยท TF Dev

Research Projects

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Rates-Macro-Factor-Lab

Jupyter Notebook Python

A systematic framework to model, decompose, and stress test rate curves as a macro risk factor across asset classes. Includes NSS yield curve estimation.

Yield Curves NSS Model Macro Risk Fixed Income
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Carhart 4-Factor Model

Jupyter Notebook โญ 6

Working paper: "Decoding Nifty 50 Factors" โ€” Implementing the Carhart 4-factor model on Indian equities with Fama-French methodology for the Indian market.

Factor Models Fama-French Nifty 50 Research Paper
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Options Research

Jupyter Notebook

Comprehensive data and code for research on options strategies โ€” pricing models, Greeks analysis, and systematic strategy development.

Options Greeks Strategy Derivatives
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Crypto Research

Jupyter Notebook

Research studies related to the crypto domain โ€” on-chain analytics, market microstructure, and quantitative strategies for digital assets.

Crypto On-Chain Market Data
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Quant Research Collection

Jupyter Notebook โญ 6

Portfolio of quantitative research: Markowitz optimization, ML in finance, technical indicators, Monte Carlo simulations, and backtesting frameworks.

Markowitz Monte Carlo ML in Finance Backtesting
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ML & Deep Learning Projects

Jupyter Notebook

Collection of machine learning and deep learning projects including classification, regression, NLP, and neural network architectures.

Deep Learning TensorFlow Neural Networks

Professional Experience

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Quant Researcher

State Street Investment Management

Apr 2024 โ€” Present โ–พ
  • Generating and improving Alpha using Factor Research for Systematic Active Fixed Income strategies
  • Factor Creation for MBS market โ€” building Sparse Portfolios with low Tracking Error to Index
  • Built Risk Modelling Engine along with Alpha Optimization Framework for Portfolio Construction
  • Improved inhouse Probability of Default models using Equity and Vol structure aligned to Kamakura benchmarks
  • Systematic Active Strategy in Emerging Market Bond Space using Global Macro data
  • Built Performance Attribution and Risk Attribution Engine for FI Portfolios (KRDs and DV01)
Fixed Income Factor Research Risk Modelling MBS EM Bonds

Quant Lead

InvAsset

Jan 2023 โ€” Mar 2024 โ–พ
  • Factor Investing Model and Portfolio Construction in Indian Equity Market โ€” deployed to production
  • Automated multiple Option Selling Strategies with Risk Management (AUM: USD 50M)
  • Option Mispricing Strategy development and deployment
  • Scalable system design with low latency and parallel execution for Indian options markets
  • Enterprise-wide Risk Management Structure โ€” from development to Cloud Deployment
  • Feature Engineering Infrastructure on Financial & Alternate Data; Data Lake creation and pipeline setup
Options Factor Investing Cloud Data Engineering

Quantitative Researcher & Data Scientist

BetaQuants

Jan 2022 โ€” Sep 2022 โ–พ
  • Reverse Engineering Momentum Strategies using Markov Models
  • Strategy Optimization on Natural Gas, Crude Oil and Gold Futures
  • Volatility Modelling using GARCH for Risk Management
  • VaR, CVaR, Monte-Carlo Simulation and Stress Testing of strategies
Commodities GARCH Monte Carlo Risk

OMS Engineer

Uber-Quantum Private Limited

May 2021 โ€” Oct 2021 โ–พ
  • Built Web Application to place trades to the Broker's Terminal
  • Automated Order Placement and Risk Management
  • Analyzed Data Quality and consistency of Financial data
Trading Systems Web App Automation

Deputy Manager

Ashok Leyland

Jul 2018 โ€” Nov 2020 โ–พ
  • Proto Assembly of Defence Vehicles
  • Introduced new methods, practices and systems to reduce turnaround time
Manufacturing Process Optimization

Technical Arsenal

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Quantitative Research

Factor Models, Alpha Generation, Risk Attribution, Performance Attribution, Portfolio Construction, Optimization

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Machine Learning

Deep Learning, TensorFlow, Markov Models, GARCH, Time Series Forecasting, Feature Engineering

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Python

NumPy, pandas, scikit-learn, SciPy, Statsmodels, Production-grade pipelines, Low-latency systems

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SQL & Data

Data Lake Architecture, Pipeline Design, Data Validation, Cleaning, Storage, Big Data

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Cloud & Infra

GCP, Cloud Deployment, Scalable System Design, Monitoring & Alerting, CI/CD

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Financial Markets

Fixed Income, Equities, Derivatives, MBS, Commodities, Emerging Markets, Options Pricing

Education & Credentials

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Masters in Financial Engineering

WorldQuant University

Oct 2020 โ€” Sep 2022
  • ML & Deep Learning in Finance
  • Stochastic Processes
  • Risk Management
  • Portfolio Theory & Asset Pricing
  • Econometrics & Time Series
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B.E. in Mechanical Engineering

SVNIT Surat, Gujarat

Jul 2014 โ€” May 2018
  • Machine Design
  • Fluid Mechanics
  • Engineering Mathematics

Certifications

CFALevel 1
FRMPart 1
TensorFlowDeveloper โ€” Google
ML & GCPLevel 1 โ€” Coursera

Publications

Let's Connect

Interested in collaborating or discussing quant research? Feel free to reach out.