Shivam Garg

Associate Consultant

Delhi, India4 yrs 2 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Developed 15+ equity trading strategies with high returns.
  • Engineered low-latency systems for real-time market data.
  • Strong foundation in both finance and technology.
Stackforce AI infers this person is a Fintech professional with expertise in quantitative research and real-time data processing.

Contact

LinkedIn

Skills

Core Skills

Quantitative ResearchEquity TradingQuantitative DevelopmentReal-time Data ProcessingTrade Execution

Other Skills

AlgorithmsAmazon Web Services (AWS)Android StudioBasic RESP Protocol ParsingBasic Socket ProgrammingBasic TCP NetworkingC (Programming Language)C++CLI DevelopmentCascading Style Sheets (CSS)CloudinaryCode ReviewCoding StandardsCommunicationComputer Science

About

Data Structures and Algorithms | Derivatives Cash Flow Analysis | Striving to bridge Tech and Finance | Seeking opportunities to contribute to the evolving Tech Landscape. Let's Connect and Build Together!

Experience

Blackbox

Quantitative Developer

Nov 2024 – Feb 2025 · 3 mos · New Delhi, Delhi, India · Hybrid

  • Improved Binance rolling trades throughput, increasing instruction processing capacity (IPC) from 1.44 to 2.81, boosting processing speed by 94%.
  • Developed and maintained low-latency WebSocket clients for real-time market data ingestion from Whitebit and Deribit exchanges.
  • Engineered robust trade execution systems using C++, WebSocket protocols,
  • FIX (Financial Exchange) protocols, and Linux environment tools to ensure efficient, reliable connectivity and data handling.
C++WebSocketLow-latency SystemsTrade ExecutionQuantitative DevelopmentReal-time Data Processing

Worldquant

Quantitative Research Consultant

Jul 2024 – Present · 1 yr 8 mos · Remote

  • Developed 15+ equity long/short strategies using Python & proprietary in-house programming language
  • Analyzed diverse datasets using statistical and machine learning techniques to identify statistical arbitrage opportunities in US, European, and Asian equity markets on WorldQuant Websim
  • Median Sharpe Ratio : 1.95
  • Median Annualized Returns : 13.74%
  • Median Maximum Drawdown : 9.82%
PythonStatistical AnalysisMachine LearningEquity TradingQuantitative Research

Mathematics & computing society

Member

Dec 2022 – Present · 3 yrs 3 mos · New Delhi, Delhi, India · On-site

Desh ke mentor

Student Mentor

Jan 2022 – Jan 2023 · 1 yr · Delhi, India

Education

Delhi Technological University (Formerly DCE)

Bachelor of Technology - BTech — Mathematics and Computer Science

Nov 2022 – Nov 2026

Sachdeva Public School, Delhi

CBSE

Jan 2008 – Jan 2022

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