
Quantitative Developer
6 days ago
Job Title:
Quant Developer
Location:
Gurgaon, India - Onsite
Employment Type:
Full-time
About the Role -
Framework Development & Expansion
• Manage and enhance an asynchronous Python-based multi-broker trading framework.
• Integrate new broker APIs (IBKR, Zerodha, XTS, and others).
• Optimise data handling and execution pipelines for high-performance and scalability.
• Add new features to support additional trading models and asset classes.
• Outline and manage development tasks for framework upgrades.
Infrastructure Management
• Administer Linux servers (office and cloud).
• Manage real-time processes via PM2, TimescaleDB, MinIO, and ArcticDB.
• Monitor and maintain ZeroMQ-based communication channels.
• Ensure uptime and stability of framework components and trading APIs.
• Manage Git repositories using Gitea, including version control and CI/CD.
Dashboarding, Monitoring & No
• Build real-time dashboards for PnL tracking, live market data visualisation, and risk exposure
and limits.
• Develop alert systems for Slack and other communication platforms for order events, system
errors, and pipeline statuses.
• Implement automated risk monitoring and notification mechanisms.
Data Engineering & Pipelines
• Expand data pipelines for onboarding new market data sources.
• Standardise and store data in MinIO (S3) using ArcticDB.
• Optimise historical and real-time data ingestion pipelines.
• Manage TimescaleDB schemas for strategy configurations and framework metadata.
DevOps Code Quality
• Manage Gitea repositories, branching strategies, and deployment pipelines.
• Review and merge code contributions from strategy teams.
• Maintain code quality, documentation, and modular structure.
• Implement continuous integration and automated deployments using Gitea runners.
• Profile and optimise framework and data pipelines for performance.
Required Technical Skills -
• Python (Asyncio essential), SQL (PostgreSQL/TimescaleDB), Bash scripting.
• FastAPI for REST API development.
• ZeroMQ or similar messaging libraries.
• Data storage: ArcticDB, MinIO (S3), TimescaleDB.
• Dashboarding: FastAPI with Dash boarding libraries / Grafana.
• Slack API for notifications.
• Process managers like PM2.
• Linux server administration.
SoL Skills
• Strong task outlining and project planning ability.
• Clear documentation writing.
• Effective communication with traders and non-technical teams.
• Problem-solving mindset with production-first thinking.
Preferred Experience
• trading, fintech, or real-time data processing environments.
• Experience with multi-broker systems.
• Exposure to risk management systems.
• Hands-on with real-time dashboards and alerting systems.
Optional Skills
• Kafka/RabbitMQ experience.
• REST API design for execution platforms.
• Basic cloud deployment knowledge.
• Exposure to machine learning workflows.
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