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Job Purpose and Impact

The Senior Quant Engineer – Agriculture & Trading role designs, develops and maintains software applications and systems that drive the trading operations. With minimal supervision, this job co-creates and maintains sophisticated software applications vital to the organizational trading activities, collaborating with cross functional teams to conceptualize, design and implement new software features that meet user needs and advance business objectives, including upgrading existing software by writing clean, efficient and scalable code to improve performance and functionality, and identifying and resolving issues promptly to ensure the seamless operation of the software systems. This job also participates in code reviews and shares insights and knowledge to uphold the standards of excellence.

Key Accountabilities

• SOFTWARE DEVELOPMENT: Designs and implements robust trading systems, applying appropriate technologies to write clean, efficient and maintainable code, integrating market data feeds from financial providers and exchanges to process real time data and customizing solutions to align with trading strategies and regulatory requirements.
• AUTOMATION: Implements continuous integration and deployment pipelines to streamline trading software releases, automates complex tests to validate software reliability under various market conditions and optimizes workflows by automating repetitive tasks to increase operational efficiency.
• COLLABORATION: Collaborates with traders, analysts, and other cross functional teams to gather requirements and deliver needed solutions, ensuring technical solutions aligned with business goals, participates in agile practices like standups and sprint planning for effective communication, shares knowledge through code reviews to drive learning and best practices, and explains technical concepts clearly to nontechnical team members.
• TESTING & DEBUGGING: Develops comprehensive test plans, including unit and integration tests, to validate functionality and performance, applying advanced debugging skills to resolve software defects and maintain system integrity, performing complex testing to ensure the system handles high transaction volumes, and collaborating with quality assurance teams members to ensure software meets standards before deployment.
• CONTINUOUS IMPROVEMENT: Sustains the commitment to improving system performance, scalability and reliability to ensure systems evolve with changing needs, staying current with industry trends and best in class standards, proactively suggesting improvements to development processes and tools, and integrating users and stakeholders feedback to refine software solutions.
• DOCUMENTATION: Reviews and builds technical documentation of complex system architecture and development processes, ensuring clear technical guides and operation manuals to facilitate ease of use, maintaining compliance with regulations and policies, and collaborating to build the knowledge base for delivering onboarding and training new team members.
• TECHNICAL SUPPORT: Monitors live trading systems for optimal performance, including addressing complex real time issues promptly, responding quickly to resolve operational problems, minimizing downtime and risk, executing routine maintenance to keep systems secure and efficient, and developing disaster recovery planning to ensure business continuity during system failures or crises.

Qualifications

• Demonstrated work experience as Senior Software Developer within Quantitative engineering area.
• Confirmed experience automating pipelines for continuous integration, testing, delivery and security.
• Confirmed experience architecting applications, databases, services or integrations.
• Extensive experience with Python, .NET Core, C++
• Experience with DevOps practices and tools such as Docker and CI/CD pipelines.
• Experience of SQL Server and / or PostgreSQL for database design and management.
• Hands-on experience with Kubernetes for container orchestration and management.
• Experience with cloud platforms such as AWS.
• Experience with basic data analysis tasks such as data reconciliation, consistency/quality checks, retroactive adjustments, and simple time series manipulations.
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