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 : Strong foundation in stochastic
calculus, time-series analysis, machine learning, and linear
algebra. Market Knowledge : Deep understanding of electronic market
microstructure, limit order books, and execution algorithms.
Preferred Qualifications Direct experience trading cryptocurrency
instruments (Binance, OKX, Coinbase, Bybit, dYdX). Familiarity with
DeFi protocols, MEV (Maximal Extractable Value), and smart contract
execution. Experience handling ultra-large datasets like
tick-by-tick order book data and cryptographic transaction logs.
What We Offer Competitive base salary with an aggressive,
performance-linked formula bonus. Access to world-class, ultra-low
latency compute infrastructure and comprehensive datasets. Flexible
or hybrid work environment with a highly collaborative, flat team
structure.

📌 Quant Researcher (HFT) (New Delhi)
🏢 TAAS Partners
📍 New Delhi