Senior Quantitative Researcher

Senior Quantitative Researcher Crypto HFT Gurugram, India | On-site | Full-time Please note: This role is open only to candidates with hands-on Quant Research experience at a proprietary trading firm, hedge fund, or HFT/market-making desk. Applications without demonstrable quant trading experience will not be considered. If that's not your background, please refrain from applying. Whistler Trading is looking for an experienced Quantitative Researcher to develop trading signals and predictive models for our high-frequency crypto business. If you enjoy solving hard problems, working with large tick-level datasets, and building models that move live P&L, this role is for you. You'll research and deploy statistically robust alpha across crypto spot, perpetuals and derivatives spanning centralized (CEX) and decentralized (DEX) venues to better understand and predict market behavior. Your work will directly inform trading strategies and have a measurable impact on performance. You'll also help shape research direction by exploring new approaches and sharpening existing methods. Whistler has strong advantages in market access, technology and execution across crypto and traditional markets, and you'll work alongside traders and engineers to translate research into production. Your Core Responsibilities Develop and test alpha signals and predictive models for crypto markets (spot, perps, derivatives)Perform large-scale, tick-level data analysis to uncover patterns and trading opportunitiesApply rigorous statistical methods to ensure robustness and reliability of resultsBuild deep understanding of market microstructure, pricing dynamics and structural inefficienciesOwn strategies end to end from signal to live P&L, including risk, execution and transaction-cost analysisCollaborate with traders and engineers to take research into productionContinuously improve models and identify new areas of research Your Skills and Experience 4+ years of quantitative research experience, ideally in HFT (Crypto or Traditional markets)Strong foundation in probability, statistics and quantitative modelingProven track record of developing impactful trading signals or modelsExperience with large datasets and time-series dataStrong programming skills Python; C++ or Rust a plusCurious, analytical, ownership-driven mindsetIIT background preferred; advanced degree (MS/PhD) a plus. DEX/on-chain, MEV or crypto options experience welcome. Compensation is highly competitive, benchmarked against the leading global trading firms, with significant performance-linked upside directly tied to the P&L you generate. About Us Whistler Trading is a quantitative proprietary trading firm founded by veterans of top-tier proprietary trading firms and institutional market makers. We trade systematically across centralized and decentralized crypto exchanges and traditional financial venues, in a lean, high-conviction team where every researcher's work has direct, measurable impact. We value talent density over headcount small team, outsized impact, real ownership. .