Senior Algorithmic Trading Software Developer

JOB DESCRIPTION

The candidate will work independently with the Algorithmic Trading Team to design, develop, and optimize high-performance, low-latency trading algorithms. The role involves translating trader requirements into software, developing scalable production-ready models, and mentoring junior team members. The candidate will also contribute to system architecture, ensure robust production operations, and communicate complex technical and market concepts to diverse stakeholders.

Key Responsibilities:

• Develop and productionize trading algorithms and models using C#/.NET.
• Implement low-latency, multithreaded, and asynchronous systems.
• Translate trader and analyst requirements into functional software.
• Build and maintain data pipelines and scalable trading system components.
• Collaborate with quants, traders, and analysts during model development.
• Conduct backtesting, walk-forward optimization, and performance benchmarking.
• Ensure robust, maintainable, and documented production code.
• Mentor junior team members and provide guidance on technical and market concepts.
• Stay up-to-date with trading technologies, cloud platforms, and best engineering practices.

Required Qualifications:

• 8+ years software development experience, including 4+ years productionizing and releasing trading models.
• MSc or equivalent in STEM, Computer Science, Engineering, Mathematics, or Applied Mathematics.
• Strong proficiency in C#/.NET and developing high-performance, low-latency applications.
• Understanding of market microstructure, order books, derivatives, PnL, Greeks, volatility.
• Experience in front-office algo trading or strategy implementation.
• Expertise in backtesting, model validation, and integrating with market data feeds/exchange APIs.

Preferred / Nice-to-Have Skills:

• Energy/Commodity trading experience (Gas, Power, Environmental products).
• Experience with ETRM systems.
• Cloud platform experience.
• UI experience (e.g., Blazor).
• Knowledge of risk modeling, data strategy, governance, and commercial value realization.