Operations Trader

Your Core Responsibilities:

Trade Execution & Risk Monitoring

• Execute and monitor index options strategies (Nifty, Bank Nifty) in real time, keeping algo activity within risk and margin limits.
• Manage contract rolls — transitioning positions from back-month to front-month strategies — and maintain the automation that supports this.
• Perform post-trade analysis on fills, market share, and execution quality.
• Apply rigorous statistical methods to ensure the robustness and reliability of results

Production & Operational Ownership

• Own reconciliation, network connectivity checks, and other production-health tasks that keep the desk running, even when they're not the most visible part of the job.
• Investigate execution issues end-to-end — tracing latency and timelines of how information moves between internal systems and the exchange
• Comfortable moving between well-defined, implementation-style tasks and open-ended investigations where the question itself needs to be framed.

Automation & Tooling

• Build and maintain automation in Python and Bash to reduce manual intervention and operational risk — e.g., auto-liquidation workflows, contract-roll automation, monitoring scripts.

Collaboration & Market Awareness

• Build a deep understanding of market behaviour, pricing dynamics, and structural inefficiencies
• Partner with Quant Researchers, Developers, Risk, and Operations to troubleshoot production issues and improve execution reliability — and bring genuine curiosity about how these workflows scale in a larger team.
• Communicate clearly and in a structured way — able to explain technical or operational issues to both trading and non-trading stakeholders.
• Mentor and train junior team members on desk processes and tools as the team grows.

Your Skills and Experience:

• Prior experience in trading operations, execution, or production support at a proprietary trading firm, market maker, or similar high-frequency environment
• Strong foundation in probability, statistics, and quantitative modelling
• Experience working with large datasets and time-series data
• Strong programming skills in at least one language, preferably Python
• Curious and analytical mindset, with a focus on problem-solving and innovation
• Demonstrated ownership of production/operational tasks — reconciliation, connectivity, monitoring — beyond what's typically listed on a resume.
• Experience investigating execution or system performance (latency analysis, timeline tracing across systems) is a strong plus.
• No prior options experience required — but genuine initiative to learn (e.g., familiarity with options greeks, dynamic hedging, or having worked through texts like Natenberg) is a strong signal.
• Comfortable operating under pressure during live market hours, including trading halts and reconciliations.
• Strong communicator who structures ideas clearly and engages well in technical discussions.
• Proactive mindset — someone who automates away recurring issues rather than just resolving them each time.
• Track record of building automation that reduced manual or operational risk (e.g., auto-liquidation, contract-roll workflows).
• Exposure to Indian equity/index derivatives market microstructure.
• Experience mentoring or training junior team members.