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anirudh agarwal | Gengen

anirudh agarwal


Algorithmic Trading System — Indian Equities & Crypto | Independent Quantitative Project
India

Summary

Finance professional with 1 year of hands-on brokerage experience in portfolio management, trade reconciliation, and quantitative equity research. Built and deployed an autonomous algorithmic trading system using Python with systematic strategies across equities and crypto. Strong quantitative foundation - 98th percentile JEE, 97.8th percentile CAT, Dean's List at SP Jain. Seeking to apply quant research skills and trading systems expertise in a global trading environment.

Education

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    SP Jain School of Global Management Master of Global Business, Finance Specialization Grade : Dean's List - 1st Semester 97.8th Percentile CAT 2024 Feb 2025 - Present
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    National Institute of Technology, Karnataka Bachelor of Technology, Materials Science Engineering Grade : NIRF Rank #9 | 7.56 CGPA 98th Percentile JEE 2020 | Class Representative (4th & 5th Semester) | International Math Olympiad - 2nd Level Qualifier Nov 2020 - Sep 2024

Experience

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    Algorithmic Trading System — Indian Equities & Crypto Independent Quantitative Project Feb 2024 - Aug 2025 • 1 yr 7 mos

    Designed and deployed a fully autonomous trading system executing systematic strategies across NSE equities and crypto pairs using Python. Applied quantitative methodologies - VWAP, momentum indicators, and statistical signal generation - with parameter optimization via backtesting across 2+ years of historical data. Built a backtesting engine incorporating transaction cost analysis, slippage modelling, and drawdown constraints to evaluate strategy robustness. Deployed a real-time Telegram-based alert system for trade signals, position monitoring, and risk controls.

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    Blockchain Technology & Financial Services - Research SP Jain School of Global Management Feb 2025 - Aug 2025 • 7 mos

    Researched blockchain applications in global fintech, analysing impact on operational efficiency, cost reduction (up to 80% in payments), and fraud elimination across settlement and cross-border transactions.

Skills

  1. Python (pandas, NumPy, Backtrader), SQL, Microsoft Excel (Advanced), Power BI
    Skillfull
  2. VWAP Analysis, Momentum Strategies, Statistical Signal Generation, Backtesting, Transaction Cost Analysis
    Experienced

Languages

  1. English
    Highly proficient