Crypto Quant Researcher

This role is for one of the Weekday's clients

Min Experience: 2 years

Location : Mumbai, Remote (India)

JobType: full-time

We are seeking a highly motivated Crypto Quant Researcher to join our fast-growing team. In this role, you will work at the cutting edge of quantitative finance, focusing specifically on cryptocurrencies and digital assets. You will leverage your expertise in quantitative research , programming skills in Python and C++ , and deep curiosity about crypto markets to design, backtest, and optimize innovative trading strategies.

This is a unique opportunity to shape trading models for an evolving asset class while working alongside a high-caliber team of engineers, researchers, and traders. If you are passionate about markets, quantitative modeling, and crypto, and thrive in a data-driven environment, we would love to hear from you.

Requirements

Key Responsibilities:

• Conduct research to identify inefficiencies, opportunities, and patterns across crypto markets.
• Design, implement, and test statistical, machine learning, and algorithmic models for trading and risk management.
• Analyze large and diverse crypto datasets to validate hypotheses and enhance predictive models.
• Collaborate closely with engineering teams to implement models into production trading systems.
• Continuously monitor model performance and propose improvements based on real-world market behavior.
• Keep up to date with the latest trends in quantitative finance, machine learning, and blockchain technologies.

Required Skills & Qualifications:

• 25 years of experience as a Quant Researcher, Quant Analyst, or a related role, preferably in financial markets.
• Strong understanding of cryptocurrencies , DeFi protocols, blockchain mechanics, and digital asset market microstructures.
• Advanced programming skills in Python for data analysis, modeling, and prototyping.
• Proficiency in C++ for high-performance model development and optimization.
• Strong quantitative and statistical analysis skills; familiarity with time-series modeling, machine learning, or statistical arbitrage techniques is a plus.
• Ability to work with large datasets, including data cleaning, feature engineering, and statistical inference.
• Solid understanding of probability, linear algebra, optimization, and stochastic processes.
• Bachelor's, Master's, or PhD degree in a quantitative field such as Computer Science, Mathematics, Statistics, Physics, Financial Engineering, or a related discipline.

Preferred Qualifications:

• Prior experience researching or trading in crypto markets is highly desirable.
• Exposure to high-frequency trading (HFT) environments or real-time data processing.
• Familiarity with APIs from major crypto exchanges and decentralized protocols.
• Knowledge of reinforcement learning, deep learning, or other advanced AI techniques as applied to financial markets.