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Job Title: Quantitative Trading Consultant – Specialist Department: Technology Location: Mumbai (In-office) Budget: Up to ₹5,00,000 per month (₹60 LPA) Experience Required: 10+ Years Notice Period: Open to candidates currently serving notice Urgency: Immediate Requirement Company Type: Large-scale organization with substantial AUM and rapid growth Role Overview We are hiring a highly accomplished Quantitative Trading Consultant with deep expertise in building and running mid-frequency and low-frequency trading desks. This full-time specialist role demands a sharp, independent thinker with proven experience across the entire trading stack—from infrastructure setup to execution, risk, and compliance. You will work in a fast-paced, high-performance environment with direct access to senior leadership, contributing to a firm with strong market presence and sizable assets under management (AUM). Key Responsibilities Infrastructure Setup: Architect and implement scalable trading infrastructure—servers, execution gateways, and broker/exchange connectivity. Market Data Management Build and maintain real-time market data feeds using WebSocket APIs, ensuring minimal latency and robust data reliability. Strategy Development & Backtesting Create and enforce best practices for strategy research, backtesting, forward testing, and real-time deployment. Execution Systems Develop fault-tolerant, low-latency execution engines with embedded risk controls and efficient error handling. Risk Management Design real-time risk monitoring systems, enforce position and exposure limits, and ensure compliance with SEBI/NSE/BSE regulations. Monitoring & Alerting Deploy and maintain monitoring systems using Prometheus, Grafana, and ELK Stack for continuous visibility and alerts. Team Collaboration Liaise with quants, developers, analysts, and DevOps to ensure smooth trading operations and system integration. Compliance & Documentation Maintain detailed documentation of trading systems, workflows, risk controls, and regulatory compliance measures. Required Skills & Qualifications Deep understanding of quantitative trading strategies, financial markets, and market microstructure Proficient in Python, with working knowledge of C++ or Rust for performance-critical components Expertise in real-time data pipelines using Kafka, Redis, and experience with PostgreSQL, MongoDB, or TimescaleDB Familiarity with CI/CD pipelines, GitLab/GitHub, Docker, Kubernetes, and cloud platforms (AWS/GCP) Proven experience in WebSocket API integration and building latency-sensitive systems Strong analytical mindset, risk awareness, and problem-solving skills Sound understanding of Indian market compliance standards Preferred Experience Prior ownership or key contribution to a quant trading desk (mid-frequency or low-frequency) Experience in Indian equity, futures, and options markets Experience with algorithmic trading infrastructure and strategy deployment Reporting This role reports directly to senior management and works closely with the trading, tech, and risk leadership teams. Skills: kubernetes,websocket api,mongodb,quantitative trading strategies,cloud platforms,gcp,gitlab,aws,timescaledb,c++,market microstructure,redis,financial markets,kafka,risk management,ci/cd pipelines,api,indian market compliance standards,real-time data pipelines,backtesting,github,postgresql,python,docker,rust Show more Show less
