We're looking for an Operations Trader to join our Index Options desk. This role sits at the intersection of trading, production operations, and technology — executing and monitoring index options strategies in real time, owning the day-to-day health of the book, and digging into execution quality and system behavior when things don't go as expected. We're especially interested in people who have owned the day-to-day of their own strategies before, even if that ownership wasn't the headline of their last role. 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. About Us IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.

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