Position Overview
We are seeking an analytical Derivatives Strategist & Analyst to assist in the design, development, and execution of derivatives-based trading strategies. This role spans initial strategy ideation and systematic backtesting to active risk monitoring and continuous strategy optimisation. In addition to quantitative tasks, this role serves as a functional bridge, translating business objectives into precise algorithmic logic and collaborating directly with the software development team to implement these strategies.
Key Responsibilities
- Strategy Design & Development: Conceptualize, build, and deploy derivative-based trading strategies (spanning Options, Futures, and structured products) designed to capture market inefficiencies and manage risk.
- Backtesting & Optimization: Conduct historical backtesting, stress-testing, and scenario analysis to validate strategy viability, ensuring steady performance across various market cycles and volatility regimes.
- Algorithmic Implementation: Write clean, production-grade code to automate strategy execution, integrating algorithmic trading principles to minimize slippage and optimize execution quality.
- Active Monitoring & Modification: Monitor live trading performance, analyze slippage, and adjust algorithmic parameters to adapt to shifting market structures.
- Risk Management Integration: Apply rigorous risk management practices, ensuring all strategies operate within defined leverage, draw-down, concentration, and capital allocation limits.
- Functional Alignment: Act as a translator between the business/investment units and the coding development team, ensuring business requirements are accurately coded into technical architecture.
Required Skills & Qualifications
- Derivatives Expertise: Foundational understanding of derivative pricing, Greeks, volatility modeling, and market microstructure.
- Coding & Quant Proficiency: Well-versed in Python (specifically libraries like Pandas, NumPy, and backtesting frameworks). Familiarity with C++ or specialized algorithmic trading platforms is a plus.
- Algorithmic Trading & Automation: Practical experience working with trading APIs, automated execution logic, and algorithmic systems.
- Risk Frameworks: Solid grasp of risk structures, including Value at Risk (VaR), stress testing, liquidity risk, and real-time margin management.
- Communication & Collaboration: Ability to clarify complex quantitative concepts and articulate them clearly to both business stakeholders and software engineers.
Preferred Attributes
- A strong interest in taking a trading strategy from a concept stage to live production.
- Ability to adapt smoothly in a fast-paced environment where market dynamics shift rapidly.
Pay: From ₹30,000.00 per month
Work Location: In person