Client - One of the fastest growing HFTs in the Crypto space.

Founder - 3rd Time Entrepreur; previous 2 were succesful exits (acquired)

Position Overview

We are seeking a talented Quantitative Researcher to design and optimize high-frequency trading (HFT) strategies in the cryptocurrency markets. You will leverage statistical modeling, machine learning, and deep market microstructure knowledge to extract alpha from highly volatile digital asset data. This role is ideal for a researcher with 2–5 years of experience looking to transition their traditional HFT expertise into crypto, or scale their existing crypto alpha generation.

Key Responsibilities
- Strategy Development: Design, backtest, and deploy high-frequency and market-making strategies for crypto spot, perpetuals, and futures.
- Alpha Generation: Identify predictive signals and statistical anomalies using vast datasets, order book dynamics, and on-chain metrics.
- Microstructure Analysis: Analyze exchange matching engines, latency bottlenecks, and liquidity patterns to optimize execution.
- Risk Management:



Build mathematical models to manage portfolio risk, optimize position sizing, and mitigate downside in volatile regimes.
- Collaboration: Work closely with core developers to implement research code into production-ready C++ or Rust systems.

Required Qualifications
- Experience: 2 to 5 years of qualified experience as a QR within an HFT firm, hedge fund, or proprietary trading desk.
- Education: Master's or PhD degree in Mathematics, Physics, Computer Science, Statistics, or a related quantitative field.
- Programming: Advanced proficiency in Python (NumPy, Pandas, SciPy) for research and data analysis.
- Core Technical Skills: Solid understanding of C++ or Rust for code integration and performance evaluation.
- Mathematical Depth: Solid foundation in stochastic calculus, time-series analysis, machine learning, and linear algebra.
- Market Knowledge: Deep understanding of electronic market micros

📌 Quant Researcher (Delhi)
🏢 TAAS Partners
📍 Delhi