Job Description

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.

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Key Responsibilities

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Trading Infrastructure

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

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- Develop and maintain semi-automated execution algorithms.
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- Build smart order routing and execution scheduling tools.
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- Create trader-assist workflows for execution monitoring and intervention.
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- Implement execution analytics and transaction cost analysis frameworks.
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Market Data Systems

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- Build and maintain real-time market-data pipelines.
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- Develop systems for ingestion, normalization, aggregation, and storage of market data.
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- Ensure low-latency dissemination of data across internal systems.
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- Design historical tick-data storage and retrieval infrastructure.
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Risk & Controls

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- Implement pre-trade and post-trade risk controls.
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- Develop position monitoring and exposure management systems.
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- Build automated alerts, kill switches, and circuit-breaker frameworks.
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- Ensure auditability and compliance of trading workflows.
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Reliability & Production Engineering

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- Build observability frameworks including monitoring, logging, alerting, and diagnostics.
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- Improve system resiliency, failover mechanisms, and disaster recovery processes.
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- Participate in production support and incident response.
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- Continuously optimize performance, scalability, and operational robustness.
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Trader-Facing Tools

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- Develop dashboards and applications used by traders and portfolio managers.
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- Build monitoring systems for orders, executions, positions, risk, and P&L.;
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- Improve workflow automation across trading operations.
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Must-Have Skills

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Software Engineering

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- Strong proficiency in Python.
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- Solid proficiency in one systems language:
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- Rust (preferred)
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- C++
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- Go
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- Deep understanding of:
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- Concurrency
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- Multithreading
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- Event-driven architectures
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- Distributed systems
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- Network programming
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Trading Systems

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Experience building one or more of:

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- OMS
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- EMS
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- Exchange connectivity
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- Market-data systems
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- Execution platforms
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- Real-time risk systems
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- Low-latency infrastructure
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Databases & Data Engineering

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- PostgreSQL
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- Time-series databases
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- Redis or equivalent caching systems
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- Message queues and streaming systems
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Production Engineering

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Experience with:

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- Monitoring
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- Logging
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- Alerting
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- CI/CD
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- Linux environments
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- Containerized deployments
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Preferred Skills

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- Experience in options, futures, or systematic trading.
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- Knowledge of exchange protocols and market connectivity.
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- Understanding of market microstructure.
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- Experience with low-latency system design.
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- Familiarity with cloud infrastructure.
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- Experience working in hedge funds, prop trading firms, brokerages, exchanges, or HFT firms.
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Ideal Candidate Profiles

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- 3 to 5 years of relevant work experience
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- OMS/EMS Developer at a broker or exchange
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- Trading Infrastructure Engineer at a hedge fund
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- Electronic Trading Engineer
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- Quant Platform Engineer
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- HFT Systems Engineer
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- Exchange Connectivity Developer
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- Low-Latency Systems Engineer
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📌 Quantitative Developer - Execution Infrastructure (Mumbai)
🏢 Alpha Alternatives
📍 Mumbai