We are seeking a Quantitative Developer – Execution Infrastructure to design and build the next generation of trading infrastructure for our systematic and discretionary trading businesses. The ideal candidate will have 3+ years of experience in developing robust order management systems, execution platforms, market data infrastructure, risk controls and trader-facing applications.

Key Responsibilities Trading Infrastructure - Design and build production-grade OMS and EMS systems.

- Develop exchange connectivity and broker integration layers.
- Build order routing and execution frameworks.
- Design systems capable of handling high message throughput with deterministic behavior.
- Implement robust recovery mechanisms for market interruptions, broker outages, and system failures.

Execution

Algorithms - Develop and maintain semi-automated execution algorithms.

- Build smart order routing and execution scheduling tools.
- Create trader-assist workflows for execution monitoring and intervention.
- Implement execution analytics and transaction cost analysis frameworks.

Market Data

Systems - Build and maintain real-time market-data pipelines.

- Develop systems for ingestion, normalization, aggregation, and storage of market data.
- Ensure low-latency dissemination of data across internal systems.
- Design historical tick-data storage and retrieval infrastructure. Risk & Controls - Implement pre-trade and post-trade risk controls.
- Develop position monitoring and exposure management systems.
- Build automated alerts, kill switches, and circuit-breaker frameworks.
- Ensure auditability and compliance of trading workflows. Reliability & Production Engineering - Build observability frameworks including monitoring, logging, alerting, and diagnostics.
- Improve system resiliency, failover mechanisms,



and disaster recovery processes.
- Participate in production support and incident response.
- Continuously optimize performance, scalability, and operational robustness. Trader-Facing Tools - Develop dashboards and applications used by traders and portfolio managers.
- Build monitoring systems for orders, executions, positions, risk, and P&L.;
- Improve workflow automation across trading operations. Must-Have Skills Software Engineering - Strong proficiency in Python.
- Solid proficiency in one systems language:
- Rust (preferred)
- C++
- Go
- Deep understanding of:
- Concurrency
- Multithreading
- Event-driven architectures
- Distributed systems
- Network programming Trading Systems Experience building one or more of:
- OMS
- EMS
- Exchange connectivity
- Market-data systems
- Execution platforms
- Real-time risk systems
- Low-latency infrastructure Databases & Data Engineering - PostgreSQL
- Time-series databases
- Redis or equivalent caching systems
- Message queues and streaming systems Production Engineering Experience with:
- Monitoring
- Logging
- Alerting
- CI/CD
- Linux environments
- Containerized deployments Preferred Skills - Experience in options, futures, or systematic trading.
- Knowledge of exchange protocols and market connectivity.
- Understanding of market microstructure.
- Experience with low-latency system design.
- Familiarity with cloud infrastructure.
- Experience working in hedge funds, prop trading firms, brokerages, exchanges, or HFT firms.

Ideal Candidate

Profiles - 3 to 5 years of relevant work experience

- OMS/EMS Developer at a broker or exchange
- Trading Infrastructure Engineer at a hedge fund
- Electronic Trading Engineer
- Quant Platform Engineer
- HFT Systems Engineer
- Exchange Connectivity Developer
- Low-Latency Systems Engineer

📌 Quantitative Developer – Execution Infrastructure (Nashik)
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📍 Nashik