Gaurav Kumar

Associate Consultant

Bengaluru, Karnataka, India7 yrs experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Expert in quantitative finance and machine learning.
  • Proven track record in developing systematic trading strategies.
  • Strong leadership experience in managing diverse teams.
Stackforce AI infers this person is a Fintech professional with expertise in quantitative analysis and machine learning.

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Skills

Core Skills

Quantitative ResearchMachine LearningQuantitative FinancePython (programming Language)AwsLeadership

Other Skills

AccountingAmazon Web Services (AWS)Artificial Intelligence (AI)BacktestingBig DataData AnalysisData ScienceData WarehousingDeep LearningDjangoEngineeringFinanceFinancial AnalysisFinancial Statement AnalysisInvestments

About

Currently I am working at State Street as Fixed Income Quant. Primarily dealing in Systematic Credit Space and supporting Portfolio Managers in systematically evolving strategies. My Projects include High Yield Bond Strategy and MBS Investing Strategies. My projects also include Building Systematic Strategies Emerging Markets Bond space. Previously I've worked as a Quant Researcher and Dev in managing HNI and AIF funds in Indian Equity and Derivative Market. Here're couple of projects I've done:- 1. Forming hypothesis for markets strategies, backtesting and deploy it on live accounts 2. Use Machine Learning and Deep Learning algorithms to generate edge in the trading signals (sentiment analysis, reinforcement learning) 3. Multi Level Risk Management Framework (Strategy Level, Account Level and Firm level) 4. Build systems for automating strategies following robust risk management systems. 5. Building Dashboards and indicators for information edge. 6. And couple of more products in pipeline. I work with Python for most of the tasks, Sqlite3 and MongoDB for database applications, Apache Spark for big data and AWS for cloud services. Well versed in Financial Engineering and quantitative analysis. Working on the intersection of Finance (includes Fixed Income, Equity, Derivatives and Crypto) and Machine Learning. I closely track advancements in Financial Machine Learning and Deep Learning. A udemy, youtube and github - taught programmer. Also good with data generation, modelling, pipelining big data, automation and web frameworks on cloud. Prior, I used to work as Proto-build at Ashok Leyland Defence Systems (ALDS) , where I supervised proto-assembly of Defence Vehicles (for India ) and other related projects. Having a good experience of two different worlds ๐ŸŒŽ.

Experience

State street investment management

Senior Associate

Apr 2024 โ€“ Present ยท 1 yr 11 mos ยท Bengaluru, Karnataka, India ยท On-site

Quantitative ResearchStatisticsMachine Learning

Pms

Quant Lead

Jan 2023 โ€“ Apr 2024 ยท 1 yr 3 mos ยท Mumbai, Maharashtra, India ยท On-site

Bliv.club

Quant Developer

Oct 2022 โ€“ Aug 2023 ยท 10 mos

ResearchMachine LearningQuantitative ResearchQualitative Research

Betaquants pvt ltd

Quantitative Researcher

Jan 2022 โ€“ Apr 2024 ยท 2 yrs 3 mos ยท Bengaluru, Karnataka, India

Artificial Intelligence (AI)StatisticsSQLQuantitative FinancePython (Programming Language)Machine Learning+5

Uber-quantum business solutions private limited

Python Developer

May 2021 โ€“ Oct 2021 ยท 5 mos ยท Bengaluru, Karnataka, India

  • Automation Consultant
Amazon Web Services (AWS)SQLPython (Programming Language)MongoDBObject-Oriented Programming (OOP)Leadership+1

Ashok leyland

2 roles

Deputy Manager

Jul 2019 โ€“ Nov 2020 ยท 1 yr 4 mos

  • Production manager at ALDS
Leadership

Graduate Engineering Trainee

Jul 2018 โ€“ Jul 2019 ยท 1 yr

Data WarehousingData Analysis

Education

WorldQuant University

Master of Science in Financial Engineering โ€” Econometrics and Quantitative Economics

Jan 2020 โ€“ Jan 2022

National Institute of Technology Surat

Bachelor of Technology (B.Tech.) โ€” Mechanical Engineering

Jan 2014 โ€“ Jan 2018

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