Quantitative Developer Execution Infrastructure

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.
• Strong 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