Quantitative Developer

Talent Corner Hr Services; Mumbai; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Talent Corner Hr Services in India seeks a backend/ops engineer to architect latency-sensitive trading systems, connect brokers/exchanges, and manage real-time data pipelines.

You will automate reconciliation, deploy on cloud with Docker/Linux, and build real-time risk dashboards to monitor PnL, positions, and margins, ensuring reliability and scalability.

Qualifications

• Experience architecting latency-sensitive distributed systems.
• Strong understanding of real-time data pipelines and event-driven architectures.
• Experience with broker/exchange API integrations and order lifecycle handling.

Responsibilities

• Architect and build event-driven trading systems with minimal latency.
• Develop broker/exchange connectivity and reliable order lifecycle handling.
• Design and manage real-time data pipelines for high-throughput feeds.

Skills

Python

Shell scripting

Docker

Linux

Cloud deployment

Streamlit

Dash

Education

Bachelor’s degree in Computer Science or related field

Tools

AWS

GCP

Git

Job description

• Core Execution Engine: Architect and build event-driven trading systems that convert strategy signals into live trades with minimal latency.
• Broker/Exchange Connectivity: Build and maintain robust integrations with broker or exchange APIs, handling the full order lifecycle reliably.
• Real-Time Data Pipelines: Manage high-throughput live market data feeds without system degradation during high-volatility market hours.
• Edge-Case & Failure Handling: Build automated logic to handle execution edge cases such as partial fills, timeouts, and reconciliation mismatches without manual intervention.
• Automated Reconciliation: Develop scripts for automated end-of-day (EOD) data reconciliation between internal system logs and official broker records.
• Infrastructure Automation: Automate deployments, provisioning, and routine operational workflows using Python and shell scripting to reduce manual effort and improve reliability.
• Infrastructure & Uptime: Deploy trading applications on cloud servers (AWS/GCP) using Docker and Linux. Set up monitoring and alerting to track server health and downtime during market hours.
• Risk Dashboards: Build operational front-end dashboards (Streamlit/Dash) featuring real-time PnL, position, and margin monitoring, including emergency stop controls.
• Documentation & Maintainability: Maintain clear documentation and reusable code/modules to support long-term scalability.