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TipsJob Title: Quantitative Trading Consultant – Operations & Trading Systems Location: Mumbai (In-office) Compensation: Up to ₹1,60,000 per month (₹10–20 LPA based on experience) Industry: Operations / Manufacturing / Production / Trading Type: Full-time | On-site Role Overview We are seeking a highly skilled and technically sound Quantitative Trading Consultant to lead the setup and execution of our mid-frequency and low-frequency trading desk. This role requires a deep understanding of trading infrastructure, execution systems, real-time data management, and risk control. You will be responsible for building the trading architecture from the ground up, collaborating with research and tech teams, and ensuring regulatory compliance in Indian financial markets. Key Responsibilities Infrastructure Setup: Design and implement end-to-end trading infrastructure: data servers, execution systems, broker/exchange connectivity. Real-Time Data Handling: Build and maintain real-time market data feeds using WebSocket APIs, ensuring minimal latency and high reliability. Strategy Development Framework: Establish frameworks and tools for backtesting, forward testing, and strategy deployment across multiple asset classes. Execution System Development: Develop low-latency, high-reliability execution code with robust risk and error-handling mechanisms. Risk Management: Design and implement real-time risk control systems, including position sizing, exposure monitoring, and compliance with SEBI/NSE/BSE regulations. Monitoring & Alerting: Set up systems using Prometheus, Grafana, and ELK stack for monitoring, logging, and proactive issue alerts. Team Collaboration: Work closely with quant researchers, DevOps, developers, and analysts to ensure smooth desk operations. Documentation & Compliance: Maintain detailed documentation of all infrastructure, workflows, trading protocols, and risk procedures. Ensure adherence to relevant regulatory guidelines. Required Skills & Qualifications Expert knowledge of quantitative trading, market microstructure, and execution strategy. Strong programming skills in Python, with working knowledge of C++ or Rust for performance-critical modules. Hands-on experience with WebSocket API integration, Kafka, Redis, and PostgreSQL/TimescaleDB/MongoDB. Familiarity with CI/CD tools, GitHub/GitLab, Docker, Kubernetes, and AWS/GCP cloud environments. Sound understanding of risk management frameworks and compliance in Indian markets. Excellent problem-solving and analytical thinking abilities. Strong attention to detail, documentation, and process adherence. Preferred Experience Previous experience in setting up or managing a quantitative trading desk (mid-frequency or low-frequency). Hands-on exposure to Indian equities, futures, and options markets. Experience working in a high-growth, fast-paced trading or hedge fund environment. Reporting Structure This role reports directly to senior management and works cross-functionally with technology, trading, and risk management teams. Why Join Us Opportunity to build and lead the trading infrastructure from the ground up. Work in a high-growth company with a strong focus on innovation and technology. Collaborate with top talent across trading, development, and research. Gain exposure to cutting-edge trading tools and modern cloud-native infrastructure. Skills: quantitative trading,attention to detail,python,c++,risk management,redis,problem-solving,rust,execution strategy,gitlab,kafka,docker,github,analytical thinking,market microstructure,mongodb,postgresql,ci/cd,aws,kubernetes,regulatory compliance,websocket api,gcp,timescaledb,monitoring,api,alerting Show more Show less
