Quantitative Researcher – MFT

This is a fully remote position, open to applicants in India.

📋 Description

• Conduct research and develop quantitative models to uncover trading opportunities in crypto derivatives and spot markets.

• Perform statistical and econometric analyses on extensive, intricate financial datasets.

• Create and sustain pricing, risk, and forecasting models tailored for derivatives products.

• Collaborate closely with trading and product teams to test, validate, and implement models in a production environment.

• Utilize programming and data science tools to design and backtest systematic trading strategies.

• Oversee and enhance existing models for performance, robustness, and adaptability to market changes.

• Draft research reports and effectively communicate insights to leadership and trading desks.

⛳️ Requirements

• 5–8 years of experience in quantitative research, trading, financial engineering, or a similar role.

• Solid grounding in statistics, probability, econometrics, and financial mathematics.

• Proficient in Python, R, or MATLAB; familiarity with SQL and big data is advantageous.

• Experience in time-series analysis, stochastic modeling, or machine learning as applied to finance.

• Understanding of derivatives pricing (options, futures, swaps) and risk metrics such as VaR and Greeks.

• Capability to handle large, high-frequency datasets and derive meaningful insights.

• Strong communication skills to articulate technical concepts to non-technical stakeholders.

• Degree in Quantitative Finance, Mathematics, Statistics, Computer Science, or Engineering; advanced degrees (MSc/PhD) are preferred.

• Prior experience in cryptocurrency or digital assets.

• Familiarity with algorithmic trading systems and execution strategies.

• Knowledge of C++ or Java for implementing performance-intensive models.

• Awareness of global financial markets and macroeconomic indicators.

🏝️ Benefits

• A collaborative remote work setting that promotes a healthy work-life balance.

• A growth framework that fosters rapid and continuous improvement.

• Opportunities for learning and collaboration with the leadership team.

• Engaging team offsites and employee participation activities.

• Competitive compensation and close collaboration with various teams.